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 About DISA

The Database of International Statistical Activities (DISA) lists the activities of over 30 statistical organizations active in the UNECE region. Updated every year, DISA is a coherent catalogue of planned work in international statistics over the coming year.  
1. Demographic and social statistics (OECD)
1. Demographic and social statistics (OECD)
1.1 Population and migration (OECD)
International Migration

Purpose

To produce consistent and annual international migration data for OECD member countries and some non-member countries and ensure methodological soundness and comparability of international migration data.

Objectives and outputs

Updating and extending the International Migration Database available via OECD.Stat and publishing an extensive statistical annex in the annual report "International Migration Outlook" (IMO), which contains the most recent available data on migration flows, foreign and immigrant populations, foreign workers, naturalisations and foreign students.

• Producing and improving standardised long-term and temporary inflows series by category and publishing in the IMO and OECD.Stat. Categories for long-term flows include work, family, humanitarian, free circulation; Categories for temporary workers include students, trainees, seasonal workers, working holiday makers, intra-company transfers.

• Updating the Database on Immigrants in OECD Countries (DIOC) for the years 2005/06.

Publication of the OECD SEM Working Paper "Are Recent Immigrants Different? A New Profile of Immigrants in the OECD (DIOC 2005/06)".

• The current version of DIOC-E (release 3.0) covers information on 32 OECD and 68 non-OECD destination countries, including country of birth, sex, educational attainment level, age, labour force status and occupation. Dissemination of DIOC-E (release 3.0) and publication of the OECD Working Paper "International Migrants in Developed, Emerging and Developing Countries: An Extended Profile" (see www.oecd.org/migration/dioc/extended).

Publication "Global Profile of Diasporas. How to better mobilise migrant skills" (forthcoming)

• Collection of thematic indicators of integration of immigrants and their children for a publication.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela.

Databases

Database on Immigrants in OECD Countries (DIOC)
Database on international migration statistics
Standardised migration flows

Main Developments for 2012

General aspects:

Project to disseminate quarterly statistics on labour market outcomes of imigrants.

Develop mechanims to improve and streamline the production of the harmonised statistics.

Release of the update of DIOC 2005/06.

Publication on the indicators of integration of immigrants and their children.

Data collection:

Development of Sicremi network.

Data collection:

In 2012, a new data collection will be launched (DIOC 2010/11) in collaboration with STD. National Institutes for Statistics in OECD countries and other main destination countries will be contacted to update DIOC with population register data and 2010/11 census data.

Data collection:

Development of the dataset with subcategories inside the main work/family/study/humanitarian and others.

Development of the dataset by country of origin and gender.

Data collection:

Project to disseminate these statistics quarterly.

Data collection:

Plan to implement a network of correspondents to collect data on migration in Asia on a regular basis.

Population Projections

Purpose

Maintain a population projections database to achieve transparency in the use of population projections within OECD.

Objectives and outputs

Expanision of the database.

Non-member countries involved in the activity:

Brazil, Bulgaria, China, Cyprus, India, Indonesia, Latvia, Lithuania, Malta, Romania, Russian Federation, South Africa, World.

Databases

MEI SQL

Main Developments for 2012

General aspects:

Update the database with UN revised data for the non-member countries data and national statistical sites for members countries data.


1.2 Labour (OECD)
Annual Labour Force Statistics

Purpose

To provide relevant, reliable annual labour force statistics covering long time series for internal OECD users (in particular, the Economics Department), member country government agencies and other external users in academic institutions and private enterprise.

Objectives and outputs

The main objective is to provide long time series for key annual statistics on population, labour force, employment and unemployment. This database contains annual statistics for OECD member countries comprising: population, total employment, unemployment, civilian employment by sectors, part-time employment, duration of unemployment. Published output also includes participation and unemployment rates by gender and detailed age groups as well as comparative tables for the main components of the labour force.

Data are available for all OECD member countries and for OECD-Total, Euro area and European Union. Time series cover 20 years for most countries. The long time-series for the data presented facilitate identification of structural changes in labour force over time.

Published output are also accompanied by target OECD and ILO international statistical standards (definitions, etc) and summary methodological information (national definitions, coverage, collection, calculation, series breaks, sources) used by individual OECD member countries in the compilation of the statistics published in the ALFS.

Databases

Annual Labour Force Statistics

Main Developments for 2012

Data collection:

Targeted countries slow at responding to the annual questionnaire will be requested to speed up their response.

Infra-annual Labour Force Statistics

Purpose

To provide relevant, reliable key infra-annual labour force statistics such as employment and unemployment (levels, rates) for internal OECD users, member country government agencies and other external users in academic institutions and private enterprise.

Objectives and outputs

The main objective is to provide long time series for key infra-annual labour statistics as well as timely short-term indicators on the labour force such as employment and unemployment. Data are disseminated in the OECD Main Economic Indicators (MEI) database, a monthly press release on harmonised unemployment and on OECD.Stat.

The MEI database contains monthly, quarterly and annual indicators on employment, unemployment, labour compensation and for some countries indicators on vacancies, hours worked, labour disputes, etc.

Data are available for all OECD member countries and for key series (employment, unemployment, hourly earnings) aggregates for OECD-Total, Major seven, OECD-Europe, EU27 and Euro area and for selected non-member countries.

In the MEI series are accompanied by summary metadata outlining key concepts, coverage, etc. Published output are also accompanied by target OECD and ILO international statistical standards (definitions, etc) and summary methodological information (national definitions, coverage, collection, calculation, series breaks, sources) used by individual OECD member countries in data compilation.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

ALFS_POP_VITAL ALFS_POP_LABOUR ALFS_EMP ALFS_SUMTAB

Main Developments for 2012

General aspects:

Quarterly News Release on Employment.

Data collection:

Small number of countries slow at responding to the annual questionnaire will be requested to speed up their response. The collection of further data and metadata for NMEs, in particular, China and India.

Labour Market Statistics

Purpose

To produce a comprehensive set of statistics to monitor labour market developments in OECD countries, while enhancing their international comparability.

To monitor the current jobs crisis and subsequent jobs recovery.

To provide statistical information to undertake labour market analyses and policy formulation to be discussed at international meetings on labour policies.

To provide background information for preparatory work for international statistical guidelines.

Objectives and outputs

Regular collection, production and dissemination of labour statistics on labour market outcomes and performance (i.e. earnings levels, earnings distribution, etc.) and institutional variables (i.e. minimum wages, stock of participants and expenditure on labour market programmes - LMP data, EPL index, trade union membership, collective bargaining coverage, etc.) to serve as an analytical basis for labour market analysis.

Data are used to produce the statistical annex of the Employment Outlook and the internal and external on-line Labour Force Statistics database stored on OECD.Stat (Key Employment Statistics and www.oecd.org/els/employment/data).

Some of the data series are reported in the OECD Main Economic Indicators database (http://stats.oecd.org/index.aspx) and in the OECD Annual Labour Force Statistics publication.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Labour Market Statistics

Main Developments for 2012

General aspects:

The expansion of the LFS database will gain momentum to improve country coverage and comparibility regarding job tenure, hours worked, minimum wages and wage earnings data and to compile data in the area of youth and workforce ageing, broader measures of unemployment, etc.

Time permitting a closer look at statistics to characterise informal employment will be attempted based on existing international guidelines on this subject.

Work underway to consolidate earnings related statistics and to improve their comparability.

Continuation of the assessment of annual working time statistics to improve their international comparability with the aim of publishing of comparable estimates on annual hours actually worked per employed person in the statistical annex of the Employment Outlook.

Continuous migration of data and metadata that are relevant for labour market statistics to OECD.Stat for internal and external web based dissemination.

Data collection:

Given the analytical capacity of working with indiivual records for policy formulation, it is felt important, where possible, to develop the capability for direct access to labour force survey (public use) microdatasets in OECD Member States with a particular focus on non-EU countries.

So far, we have been able to access to labour force survey public use files of 9 OECD countries.

Besides, in the two-year period of 2009-2010, public use files of household survey microdatasets were collected for Brazil, India, Indonesia and South Africa as well as for Mexico and Turkey.

Further exploration on the availability of labour force and income surveys will be pursued in 2011 to include micro-datasets for Chile, the Russian Federation, and other OECD countries.

In 2011, micro-datasets stored currently are expected to be updated.

Data management:

Migration of the remaining parts of Earnings distribution database in 2012.

Unit Labour Costs

Purpose

To maintain and expand the OECD System of Unit Labour Cost and Related Indicators, which brings together a wide range of data sources for all OECD member countries. A set of internationally comparable quarterly unit labour cost (ULC) indexes for eight economic activities (ULC) indexes are produced together with annual series for ULC, Labour productivity, Labour Compensation (including PPP adjusted), Labour Income shares and Exchange rate adjusted ULC.

In addition, early estimates of quarterly ULCs are produced at t+75 (as a target) and disseminated via a media releease.

At the same time, labour compensation statistics are updated an on-going basis every month, as an input to the MEI publications.

The quarterly ULCs provide the inputs to the Economics Department for production of their real effective exchange rates competitiveness indicators.

Objectives and outputs

The key objectives of 2011 were to review the quality and comparability of established production system. Early estimates of quarterly (EEQ) ULCs were developed which improve the timeliness, comparability with those produced by ECB, and analytical capacity of the existing ULCs. The EEQ ULCs are compiled indirect method which means that seasonally adjusted (SA) ULCs are compiled from SA compenent series collected from NSOs as much as possible. At the same time, ULC media release is revised. In addition, annual data was prepared for publication in the OECD Factbook. Joint ULC project between STD and ECB was continued.

Non-member countries involved in the activity:

Brazil, Bulgaria, China, Cyprus, Lithuania, Malta, Russian Federation, South Africa.

Main Developments for 2012

General aspects:

Major tasks in 2012 will be integrate estimates of ULC within the Productivity database. Early ULC estimates for Total economy will continue being updated with continued co-operation from ECB. At the same time, compilation of new ULCs for G20 countries will be pursued.

Data collection:

Major task will be the incorporation of the very large number of new series into the on-going MEI data collection processes.


1.3 Education (OECD)
AHELO (Assesment of Higher Education Learning Outcomes) Feasibility Study

Purpose

The purpose of the AHELO feasibility study is to assess whether it is possible to measure what undergraduate degree students know and can do at the international level, in order to provide better information to higher education institutions, governments and other stakeholders, including students and employers. This will entail an evaluation of the scientific feasibility of undertaking an international assessment of higher education learning outcomes (in generic and subject-specific skills) at the end of a Bachelor's degree programme, as well as gauging the feasibility of its practical implementation.

Objectives and outputs

In 2011, assessment instruments have been developed, translated, adapted and pilot-tested in all 3 strands of work (generic skills, economics and engineering) in participating countries. Likewise, context survey instruments have been developed, translated, adapted and pilot-tested.

Non-member countries involved in the activity:

Colombia, Egypt, Other, Russian Federation.

Main Developments for 2012

General aspects:

Work in 2012 will involve:

• The international implementation of instruments in participating countries and institutions;
• The analysis of the data collected;
• The preparation of the final report;
• Its discussion at a final conference of the feasibility study to be held on 10-11 December in the Netherlands.

Education (INES activities)

Purpose

To produce and publish indicators and analysis on the operation, evolution and impact of education, from early childhood through formal education to learning and training throughout life. The collected data cover the outputs of educational institutions, the policy levers that shape educational outputs, the human and financial resources invested in education, structural characteristics of education systems, and the economic and social outcomes of education.

Objectives and outputs

Production of indicators on the financing of education, participation in and graduation from education. Indicators on educational attainment of the adult population and associated labour market outcomes, teacher salaries and work conditions, and instruction time are provided by INES Networks LSO (Labour Market, Economic and Social Outcomes of Learnong) and NESLI (Collection and Adjudication of System-level descriptive Information on Educational Structures, Policies and Practices).

The main publication is "Education at a Glance".

Main achievements in 2011 include the consolidation of the technical documentation of the education data collection, the development of indicators on the net present value of education, the relative earnings according to the level of educational attainment and the social outcomes of education as well as on how efficiently are resources used in education, on how do education systems monitor school performance. It also includes PISA 2009 results, the new indicators on school accountability, upper secondary and tertiary studies by field of education, upper secondary completion rates and the development of trend data on access and graduation to education and on financial aid to students. Ongoing methodological work includes: students' mobility and graduation comparability study, conceptual framework for the measurement of knowledge and skills, development of efficiency measures, consolidation of tertiary indicators and improvement of the quality of ISCED implementation.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Russian Federation.

Databases

Education database

Main Developments for 2012

General aspects:

Education database will benefit from the OECD.Stat and MetaStore developments. Trend data will be reviewed. Data and indicator development will include improving the quality and relevance of the tertiary indicators on entry, graduation, tuition fees and student mobility, further developing the indicators on educational efficiency and on upper secondary completion rates . A programme of work will also continue to review comparability issues with the international education classification (ISCED) and to develop solutions to tackle these.

Data collection:

New quality and timeliness standards for data collection and indicator compilation will be introduced.

Inclusion of a new questionnaire on non-teaching staff.

Data management:

None.

Education and Social Progress

Purpose

Education and Social Progress (ESP) project will:

• Analyse the role cognitive and non-cognitive skills play in fostering measures of well-being and social progress in OECD countries; and
• Identify how skills that matter can be better developed in formal, non-formal and informal learning environments including family, school and the community.

Objectives and outputs

The long-term objective of ESP project is to translate our findings into instruments that can be used by education stakeholders. One instrument is a set of policy recommendations, which provides decision-makers with ideas and policy orientations that can be adapted to country specific contexts. Another is a set of toolkits that policy-makers, school administrators and teachers can use to explore ways to identify groups that are at-risk, skills that might be reinforced and concrete action plans to follow. The third instrument is a critical review of existing competency frameworks, which aims at assessing whether or not the conceptual thinking and practices related to key competencies are evidence-based.

Indicators on Skills, Mobility and Job Quality

Purpose

To provide OECD members with a statistical tool for better understanding the relationship between skills mobility and job quality at the local level. This activity is contributing to the OECD Skills Srategy.

Objectives and outputs

LEED has developed a new statistical diagnostic tool to better understand the balance between skills supply and demand at sub-regional level. In 2011-12 this tool is being applied in a broad set of countries, drawing on available data at TL3 level to produce composite indicators of supply and demand. Data is being collected for a number of indicators including qualification levels, productivity, occupational structure, wages and unemployment at sub-regional level and analysed by the Secretariat. The work is an input to the OECD Skills Strategy and the results will be made available at the Skills@OECD website.

Main Developments for 2012

General aspects:

A new methodology to establish benchmarking groups has been developed.

Programme for International Student Assessment (PISA)

Purpose

The Programme for International Student Assessment (PISA) was created by the OECD member countries in 1997 to produce direct assessments of student performance, on a regular basis in an efficient, timely and cost-effective manner; and to provide more relevant and powerful indicators of human capital. PISA produces assessments of reading literacy, mathematical literacy, scientific literacy and a growing range of cross-curricular competencies among 15-year-olds in school.

Objectives and outputs

In 2012, following the release of the initial report of 2009 data in December 2010, there will be further thematic reports produced on learning gains (based on the Canadian PISA cohort study), children of immigrants, private schooling and parental involvement. The results from the 9 additional countries who implemneted PISA 2009 one year later were published in December 2011. In addition, a new product 'PISA in Focus' will be published each month featuring short notes on specific topics including "The gender gap in digital reading", "What makes a country a strong performer in PISA?" and "Gender differences in career expectations."

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Dominican Republic, Ecuador, Egypt, El Salvador, Europe, Georgia, Guatemala, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.

Databases

PISA 2009 international database

Main Developments for 2012

General aspects:

The field trial for PISA 2012 was successfully condicted in 2011, thus preparing for the main study in 2012, which will be conducted among the 67 participating countries and economies. In addition, preparation is already underway for PISA 2015 and the first operational meetings will take place in 2012.

Data collection:

The field trial for the PISA 2012 data collection will be conducted in 2011. As well as data collection in the core subjects of mathematics, reading and science (with mathematics the major domain), there will be data collection from the assessment of problem solving skills (entirely electronic assessment and data collection) and the optional assessment of financial literacy.

Programme for the International Assessment of Adult Competencies (PIAAC)

Purpose

To identify and measure differences between individuals and across countries in key competencies and other economic and social outcomes believed to underpin both personal and societal success; assess their impact on economic and social outcomes; assess the performance of education and training systems in generating the required competencies at the levels required by social and economic demands; and identify key policy levers that lead to enhancing competencies and their effective utilisation.

Objectives and outputs

The objective for 2012 is to complete the data collection and to prepare for the first international report that will be published in 2013.

Non-member countries involved in the activity:

Cyprus, Russian Federation.

Main Developments for 2012

General aspects:

The project will complete the data collection phase and start to create database for the first international report.

Data collection:

It should be completed by March 2012.

Teaching and Learning International Survey (TALIS)

Purpose

To provide data and indicators on the learning environment in schools and about the work environment of teachers, as part of the OECD education indicator work.

Objectives and outputs

The further development of indicators and analysis of teachers, teaching and learning through further analysis of the first round of TALIS (thematic reports on the working experience of new teachers and on teaching practices and innovation) and preparation of a second round, for which data collection is scheduled to take place in 2012 and 2013.

TALIS focusses on the learning environment in schools, sampling teachers and school principals and aims to provide cross-country data, indicators and analysis on factors influencing effective teaching and learning and the working environment of teachers. The focus for the core survey of second round is lower secondary (ISCED Level 2), though countries also have the option to survey elementary (ISCED Level 1) and upper secondary (ISECD Level 3) schools and to perform a school-level linkage with PISA 2012.

Non-member countries involved in the activity:

Brazil, Bulgaria, Croatia, Latvia, Malaysia, Other, Republic of Serbia, Romania, Singapore.

Main Developments for 2012

General aspects:

The first round of TALIS was completed in 2009 with the first results reported in "Creating effective teaching and learning environments: First results from TALIS", published in June 2009. A selection of indicators were also published in Education at a Glance 2009 and in a thematic report by the European Commission "Teachers's professional development".

The work in 2012 will focus on further exploitation of the data from the first round of TALIS, including through the publication of thematic reports on the working experience of new teachers and on teaching practices and innovation in education. The work during 2012 will also focus on the second round of data collection, particularly on the Field Trial in all 33 participating countries as well as the Main Study data collection in the Southern Hemisphere countries.


1.4 Health (OECD)
Health Care Quality Indicators

Purpose

The purpose of the Health Care Quality Indicators (HCQI) Project is to develop a set of indicators that can be used to raise questions regarding quality of care across countries. They have been reported regularly in a chapter in Health at a Glance publication since 2007.

Objectives and outputs

The entire HCQI database was made available at the OECD.Stat for the first time in 2011. The comparability and quality of data were improved and the database was also expanded, covering patient safety indicators.

Non-member countries involved in the activity:

Cyprus, Latvia, Malta, Singapore.

Databases

HCQI Data Collection

Main Developments for 2012

General aspects:

The HCQI Project goals in 2012 are: to review and refine existing quality of care indicators in prepration for the 2012-13 HCQI Data Collection to commence in November 2012; and to undertake data analysis to support research work in relation to the ongoing priorities of the HCQI Project.

The HCQI project is embarking on further development work with respect to indicator improvement and interpretation of cross country variations.

The main focus is on:

• the development of patient safety and patient experience indicators, and
• the inclusion of data from additional countries.

The HCQI project will also expand work in the construction of more direct measures of primary care quality for understanding observed differences and the cross-national analysis of the quality of primary care performance.

Data management:

Development of data collection tool more appropriate for StatWorks.

Health Data

Purpose

To provide policy makers and health researchers with a wide range of statistics on health and health systems to allow comparative analysis of different aspects of the performance of health systems. The database includes data on health status and risk factors to health, health care resources and activities, long-term care resources and activities, pharmaceutical consumption, health expenditure and financing, and health care quality. The data come from four questionnaires: 1) the OECD Health Data questionnaire; 2) the joint OECD/Eurostat/WHO (Europe) questionnaire on non-monetary health care statistics; 3) the joint OECD/Eurostat/WHO health accounts questionnaire; and 4) the OECD Health Care Quality Indicators questionnaire.

Objectives and outputs

Progress was achieved in 2011 in improving the availability and comparability of data on different categories of doctors and nurses that are collected throuth the joint OECD/Eurostat/WHO (Europe) questionnaire. The OECD Secretariat has also shared this joint questionnaire with the WHO Western Pacific Regional Office (WPRO) with a view to encourage the use of the same definition of variables for any data collection in that region to promote greater comparability.

Progress has also been achieved in improving the comparability of data on surgical procedures, based on a proposed new standard methodology to count procedures and a better specification of coverage of health care facilities.

A new edition of "Health at a Glance" was released in November 2011, including a new special chapter on long-term care, and data for large emerging economies where possible.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

OECD Health Data 2012

Main Developments for 2012

General aspects:

Improving the availability and comparability of data on health status (morbidity), health inequalities, health care interventions (surgical procedures), and pharmaceutical consumption.

Working towards the extension of the joint OECD/Eurostat/WHO (Europe) questionnaire on non-monetary health care statistics to include health care activities (in addition to health care resources).

Health Expenditure and Financing

Purpose

To provide policy relevant, comparative data and analysis on health expenditure and financing, and to facilitate harmonisation across national health accounting practices. To provide data sources for research and to make country-specific health accounts data and analysis more widely available.

Objectives and outputs

The sixth Joint OECD, Eurostat and WHO System Health Accounts (SHA) data collection was successfully implemented in 2011. It has improved the availability and comparability of health expenditure data and also contributed to the improvement in health expenditure data published in OECD Health Data. A System of Health Accounts database has been developed as a component of the OECD Statistical Information System. National Health Accounts Experts and others interested in accessing health accounts data can now do so using OECD.Stat and SourceOECD.

Methodological developmental work has continued over recent years on a number of projects: Improving the Comparability and Availability of Private Health Expenditure; Development of Output based Health-Specific Purchasing Power Parities; Estimating Expenditure by Disease, Age and Gender; and Improving Estimates of Imports and Exports of Health Goods and Services.

Since 2006 OECD, EUROSTAT and WHO collaborated to revise the System of Health Accounts methodology. This process was concluded in October 2011 with the publication of the new manual A System of Health Accounts 2011. Pilot studies are currently undertaken to test the implementation of the new manual.

Non-member countries involved in the activity:

Albania, Bosnia and Herzegovina, Brazil, Bulgaria, China, Croatia, Cyprus, India, Indonesia, Latvia, Lithuania, Macedonia, Malta, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Slovenia, South Africa

Databases

OECD Health Expenditure and Financing

Main Developments for 2012

General aspects:

In 2012, the seventh Joint OECD-Eurostat-WHO health accounts (SHA) data collection will take place. Previous improvements to the validation tools used both by the national compilers and the international organisations will continue to provide efficiency gains in the validation exercise and ultimately feed through to improved timeliness in dissemination of the data.

Data collection:

No changes in questionnaire.

Mental Health, Disability and Work

Purpose

In the late 2000s, the OECD Review "Sickness, Disability and Work: Breaking the Barriers" concluded that policy has changed very much in many countries but not enough in most cases; by and large policies remain too passive in nature. The review identified two big questions to be addressed more fervently: First, why so many people take leave of absence or apply for a disability benefit on the grounds of mental illness; and secondly, how people with mental health conditions could be better integrated into the labour market. The new OECD Review "Disability and Work: Challenges for Labour Market Inclusion of People with Mental Illness" aims to address these two questions, by drawing lessons from policies and outcomes in ten member countries (Australia, Austria, Belgium, Denmark, Netherlands, Norway, Sweden, Switzerland, United Kingdom, United States). See www.oecd.org/els/disability.

Objectives and outputs

A data questionnaire was sent to ten member countries (Australia, Austria, Belgium, Denmark, Netherlands, Norway, Sweden, Switzerland, United Kingdom, United States) participating in the new OECD Review "Disability and Work: Challenges for Labour Market Inclusion of People with Mental Illness".

The first report "Sick on the Job? Myths and Realities about Mental Health and Work" was released on 12 December 2011, with a dissemination seminar at the OECD headquarters in Paris. It served as a basis for the next phase of the project which will look in depth into the challenges and policies of selected OECD countries. See www.oecd.org/els/disability.

Main Developments for 2012

General aspects:

Development Preparation of comparative indicators and analysis on the relationship between mental health conditions, work and benefit recipiency; based on data received from ten OECD countries. The reports and the indicators will inform the second phase of the project which aims to provide evidence-based policy conclusions for the countries participating in the project.


1.5 Income and consumption (OECD)
Expert group on Income, Consumption and Wealth

Purpose

Establishing guidelines for the join measurement of income, consumption and wealth at the household level.

Objectives and outputs

To produce two handbooks on methodological guidelines.

Main Developments for 2012

General aspects:

Finalisation of the handbooks.


1.6 Social protection (OECD)
Social Benefit Recipients

Purpose

Detailed data on benefit recipiency in a comparative framework are needed to assess how effective social safety nets are at reaching their objectives.

For instance, they show who benefits from social safety nets, and what share of a targeted population is actually covered. In a longitudinal perspective, these recipiency data help identify the role of safety nets across the economic cycle, and how recipients adjust to changes in programme rules. These questions are essential in the perspective of adapting social systems to future economic and demographic challenges.

Currently, comprehensive data on benefit recipiency is not easily available, and is sometime difficult to obtain even at country level. Furthermore, very little information is usually provided on beneficiary characteristics, almost no information is available on programme entries and exits except in some cases.

The database should ideally cover income replacement benefits and their main supplements paid to the working age population.

Objectives and outputs

In December 2011, a first partial and preliminary version of the database has been made available. The access to the database is restricted to the (OECD and European Commission) people directly involved in the project. In a further step of the project, the database will be made public. This first version includes annual caseloads for 2007 and 2008 and, depending on data availability on each country, the inflows, outflows and the number of recipients broken down by age and gender during the same period.

The main objectives for 2012 are:

• Improve the quality of existent data;
• Use reference time series to compute relevant indicators;
• Gather 2009 and 2010 information and include them in the database.

Non-member countries involved in the activity:

Bulgaria, Cyprus, Latvia, Lithuania, Malta, Romania.

Main Developments for 2012

General aspects:

No major changes regarding the objectives and deliverables.

The questionnaire asking for 2009 and 2010 data, to be sent in 2012, has been improved and simplified with respect to the one sent in 2011.

Data collection:

No major changes are planned.

Social Expenditure

Purpose

The database has been developed to monitor trends in aggregate social expenditure as well as changes in its composition. SOCX includes historical series from 1980 on public and mandatory private social expenditure at programme level classified under the major social policy areas. See www.oecd.org/els/social/expenditure.

Objectives and outputs

Social Expenditure Database: data collection (in co-operation with Eurostat for EU countries) and dissemination on the internet www.oecd.org/els/social/expenditure of expenditure data, programme by programme, grouped in the main expenditure categories, since 1980.

Working Paper #124 "Is the European welfare state really more expensive? Indicators on social spending, 1980-2012 and a manual to the OECD Social Expenditure database (SOCX)" came out in Novermber 2011, including net (after taxes) and voluntary social spending.

Databases

Social expenditures

Main Developments for 2012

General aspects:

No major changes.

Data collection:

Data update every other year. 2008 and 2009 will be collected in first semester of 2012.
We will compute some short term spending projections till 2012 or 2013.



2. Economic Statistics (OECD)
1.1 Population and migration (OECD)
International Migration

Purpose

To produce consistent and annual international migration data for OECD member countries and some non-member countries and ensure methodological soundness and comparability of international migration data.

Objectives and outputs

Updating and extending the International Migration Database available via OECD.Stat and publishing an extensive statistical annex in the annual report "International Migration Outlook" (IMO), which contains the most recent available data on migration flows, foreign and immigrant populations, foreign workers, naturalisations and foreign students.

• Producing and improving standardised long-term and temporary inflows series by category and publishing in the IMO and OECD.Stat. Categories for long-term flows include work, family, humanitarian, free circulation; Categories for temporary workers include students, trainees, seasonal workers, working holiday makers, intra-company transfers.

• Updating the Database on Immigrants in OECD Countries (DIOC) for the years 2005/06.

Publication of the OECD SEM Working Paper "Are Recent Immigrants Different? A New Profile of Immigrants in the OECD (DIOC 2005/06)".

• The current version of DIOC-E (release 3.0) covers information on 32 OECD and 68 non-OECD destination countries, including country of birth, sex, educational attainment level, age, labour force status and occupation. Dissemination of DIOC-E (release 3.0) and publication of the OECD Working Paper "International Migrants in Developed, Emerging and Developing Countries: An Extended Profile" (see www.oecd.org/migration/dioc/extended).

Publication "Global Profile of Diasporas. How to better mobilise migrant skills" (forthcoming)

• Collection of thematic indicators of integration of immigrants and their children for a publication.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela.

Databases

Database on Immigrants in OECD Countries (DIOC)
Database on international migration statistics
Standardised migration flows

Main Developments for 2012

General aspects:

Project to disseminate quarterly statistics on labour market outcomes of imigrants.

Develop mechanims to improve and streamline the production of the harmonised statistics.

Release of the update of DIOC 2005/06.

Publication on the indicators of integration of immigrants and their children.

Data collection:

Development of Sicremi network.

Data collection:

In 2012, a new data collection will be launched (DIOC 2010/11) in collaboration with STD. National Institutes for Statistics in OECD countries and other main destination countries will be contacted to update DIOC with population register data and 2010/11 census data.

Data collection:

Development of the dataset with subcategories inside the main work/family/study/humanitarian and others.

Development of the dataset by country of origin and gender.

Data collection:

Project to disseminate these statistics quarterly.

Data collection:

Plan to implement a network of correspondents to collect data on migration in Asia on a regular basis.

Population Projections

Purpose

Maintain a population projections database to achieve transparency in the use of population projections within OECD.

Objectives and outputs

Expanision of the database.

Non-member countries involved in the activity:

Brazil, Bulgaria, China, Cyprus, India, Indonesia, Latvia, Lithuania, Malta, Romania, Russian Federation, South Africa, World.

Databases

MEI SQL

Main Developments for 2012

General aspects:

Update the database with UN revised data for the non-member countries data and national statistical sites for members countries data.


1.2 Labour (OECD)
Annual Labour Force Statistics

Purpose

To provide relevant, reliable annual labour force statistics covering long time series for internal OECD users (in particular, the Economics Department), member country government agencies and other external users in academic institutions and private enterprise.

Objectives and outputs

The main objective is to provide long time series for key annual statistics on population, labour force, employment and unemployment. This database contains annual statistics for OECD member countries comprising: population, total employment, unemployment, civilian employment by sectors, part-time employment, duration of unemployment. Published output also includes participation and unemployment rates by gender and detailed age groups as well as comparative tables for the main components of the labour force.

Data are available for all OECD member countries and for OECD-Total, Euro area and European Union. Time series cover 20 years for most countries. The long time-series for the data presented facilitate identification of structural changes in labour force over time.

Published output are also accompanied by target OECD and ILO international statistical standards (definitions, etc) and summary methodological information (national definitions, coverage, collection, calculation, series breaks, sources) used by individual OECD member countries in the compilation of the statistics published in the ALFS.

Databases

Annual Labour Force Statistics

Main Developments for 2012

Data collection:

Targeted countries slow at responding to the annual questionnaire will be requested to speed up their response.

Infra-annual Labour Force Statistics

Purpose

To provide relevant, reliable key infra-annual labour force statistics such as employment and unemployment (levels, rates) for internal OECD users, member country government agencies and other external users in academic institutions and private enterprise.

Objectives and outputs

The main objective is to provide long time series for key infra-annual labour statistics as well as timely short-term indicators on the labour force such as employment and unemployment. Data are disseminated in the OECD Main Economic Indicators (MEI) database, a monthly press release on harmonised unemployment and on OECD.Stat.

The MEI database contains monthly, quarterly and annual indicators on employment, unemployment, labour compensation and for some countries indicators on vacancies, hours worked, labour disputes, etc.

Data are available for all OECD member countries and for key series (employment, unemployment, hourly earnings) aggregates for OECD-Total, Major seven, OECD-Europe, EU27 and Euro area and for selected non-member countries.

In the MEI series are accompanied by summary metadata outlining key concepts, coverage, etc. Published output are also accompanied by target OECD and ILO international statistical standards (definitions, etc) and summary methodological information (national definitions, coverage, collection, calculation, series breaks, sources) used by individual OECD member countries in data compilation.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

ALFS_POP_VITAL ALFS_POP_LABOUR ALFS_EMP ALFS_SUMTAB

Main Developments for 2012

General aspects:

Quarterly News Release on Employment.

Data collection:

Small number of countries slow at responding to the annual questionnaire will be requested to speed up their response. The collection of further data and metadata for NMEs, in particular, China and India.

Labour Market Statistics

Purpose

To produce a comprehensive set of statistics to monitor labour market developments in OECD countries, while enhancing their international comparability.

To monitor the current jobs crisis and subsequent jobs recovery.

To provide statistical information to undertake labour market analyses and policy formulation to be discussed at international meetings on labour policies.

To provide background information for preparatory work for international statistical guidelines.

Objectives and outputs

Regular collection, production and dissemination of labour statistics on labour market outcomes and performance (i.e. earnings levels, earnings distribution, etc.) and institutional variables (i.e. minimum wages, stock of participants and expenditure on labour market programmes - LMP data, EPL index, trade union membership, collective bargaining coverage, etc.) to serve as an analytical basis for labour market analysis.

Data are used to produce the statistical annex of the Employment Outlook and the internal and external on-line Labour Force Statistics database stored on OECD.Stat (Key Employment Statistics and www.oecd.org/els/employment/data).

Some of the data series are reported in the OECD Main Economic Indicators database (http://stats.oecd.org/index.aspx) and in the OECD Annual Labour Force Statistics publication.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Labour Market Statistics

Main Developments for 2012

General aspects:

The expansion of the LFS database will gain momentum to improve country coverage and comparibility regarding job tenure, hours worked, minimum wages and wage earnings data and to compile data in the area of youth and workforce ageing, broader measures of unemployment, etc.

Time permitting a closer look at statistics to characterise informal employment will be attempted based on existing international guidelines on this subject.

Work underway to consolidate earnings related statistics and to improve their comparability.

Continuation of the assessment of annual working time statistics to improve their international comparability with the aim of publishing of comparable estimates on annual hours actually worked per employed person in the statistical annex of the Employment Outlook.

Continuous migration of data and metadata that are relevant for labour market statistics to OECD.Stat for internal and external web based dissemination.

Data collection:

Given the analytical capacity of working with indiivual records for policy formulation, it is felt important, where possible, to develop the capability for direct access to labour force survey (public use) microdatasets in OECD Member States with a particular focus on non-EU countries.

So far, we have been able to access to labour force survey public use files of 9 OECD countries.

Besides, in the two-year period of 2009-2010, public use files of household survey microdatasets were collected for Brazil, India, Indonesia and South Africa as well as for Mexico and Turkey.

Further exploration on the availability of labour force and income surveys will be pursued in 2011 to include micro-datasets for Chile, the Russian Federation, and other OECD countries.

In 2011, micro-datasets stored currently are expected to be updated.

Data management:

Migration of the remaining parts of Earnings distribution database in 2012.

Unit Labour Costs

Purpose

To maintain and expand the OECD System of Unit Labour Cost and Related Indicators, which brings together a wide range of data sources for all OECD member countries. A set of internationally comparable quarterly unit labour cost (ULC) indexes for eight economic activities (ULC) indexes are produced together with annual series for ULC, Labour productivity, Labour Compensation (including PPP adjusted), Labour Income shares and Exchange rate adjusted ULC.

In addition, early estimates of quarterly ULCs are produced at t+75 (as a target) and disseminated via a media releease.

At the same time, labour compensation statistics are updated an on-going basis every month, as an input to the MEI publications.

The quarterly ULCs provide the inputs to the Economics Department for production of their real effective exchange rates competitiveness indicators.

Objectives and outputs

The key objectives of 2011 were to review the quality and comparability of established production system. Early estimates of quarterly (EEQ) ULCs were developed which improve the timeliness, comparability with those produced by ECB, and analytical capacity of the existing ULCs. The EEQ ULCs are compiled indirect method which means that seasonally adjusted (SA) ULCs are compiled from SA compenent series collected from NSOs as much as possible. At the same time, ULC media release is revised. In addition, annual data was prepared for publication in the OECD Factbook. Joint ULC project between STD and ECB was continued.

Non-member countries involved in the activity:

Brazil, Bulgaria, China, Cyprus, Lithuania, Malta, Russian Federation, South Africa.

Main Developments for 2012

General aspects:

Major tasks in 2012 will be integrate estimates of ULC within the Productivity database. Early ULC estimates for Total economy will continue being updated with continued co-operation from ECB. At the same time, compilation of new ULCs for G20 countries will be pursued.

Data collection:

Major task will be the incorporation of the very large number of new series into the on-going MEI data collection processes.


1.3 Education (OECD)
AHELO (Assesment of Higher Education Learning Outcomes) Feasibility Study

Purpose

The purpose of the AHELO feasibility study is to assess whether it is possible to measure what undergraduate degree students know and can do at the international level, in order to provide better information to higher education institutions, governments and other stakeholders, including students and employers. This will entail an evaluation of the scientific feasibility of undertaking an international assessment of higher education learning outcomes (in generic and subject-specific skills) at the end of a Bachelor's degree programme, as well as gauging the feasibility of its practical implementation.

Objectives and outputs

In 2011, assessment instruments have been developed, translated, adapted and pilot-tested in all 3 strands of work (generic skills, economics and engineering) in participating countries. Likewise, context survey instruments have been developed, translated, adapted and pilot-tested.

Non-member countries involved in the activity:

Colombia, Egypt, Other, Russian Federation.

Main Developments for 2012

General aspects:

Work in 2012 will involve:

• The international implementation of instruments in participating countries and institutions;
• The analysis of the data collected;
• The preparation of the final report;
• Its discussion at a final conference of the feasibility study to be held on 10-11 December in the Netherlands.

Education (INES activities)

Purpose

To produce and publish indicators and analysis on the operation, evolution and impact of education, from early childhood through formal education to learning and training throughout life. The collected data cover the outputs of educational institutions, the policy levers that shape educational outputs, the human and financial resources invested in education, structural characteristics of education systems, and the economic and social outcomes of education.

Objectives and outputs

Production of indicators on the financing of education, participation in and graduation from education. Indicators on educational attainment of the adult population and associated labour market outcomes, teacher salaries and work conditions, and instruction time are provided by INES Networks LSO (Labour Market, Economic and Social Outcomes of Learnong) and NESLI (Collection and Adjudication of System-level descriptive Information on Educational Structures, Policies and Practices).

The main publication is "Education at a Glance".

Main achievements in 2011 include the consolidation of the technical documentation of the education data collection, the development of indicators on the net present value of education, the relative earnings according to the level of educational attainment and the social outcomes of education as well as on how efficiently are resources used in education, on how do education systems monitor school performance. It also includes PISA 2009 results, the new indicators on school accountability, upper secondary and tertiary studies by field of education, upper secondary completion rates and the development of trend data on access and graduation to education and on financial aid to students. Ongoing methodological work includes: students' mobility and graduation comparability study, conceptual framework for the measurement of knowledge and skills, development of efficiency measures, consolidation of tertiary indicators and improvement of the quality of ISCED implementation.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Russian Federation.

Databases

Education database

Main Developments for 2012

General aspects:

Education database will benefit from the OECD.Stat and MetaStore developments. Trend data will be reviewed. Data and indicator development will include improving the quality and relevance of the tertiary indicators on entry, graduation, tuition fees and student mobility, further developing the indicators on educational efficiency and on upper secondary completion rates . A programme of work will also continue to review comparability issues with the international education classification (ISCED) and to develop solutions to tackle these.

Data collection:

New quality and timeliness standards for data collection and indicator compilation will be introduced.

Inclusion of a new questionnaire on non-teaching staff.

Data management:

None.

Education and Social Progress

Purpose

Education and Social Progress (ESP) project will:

• Analyse the role cognitive and non-cognitive skills play in fostering measures of well-being and social progress in OECD countries; and
• Identify how skills that matter can be better developed in formal, non-formal and informal learning environments including family, school and the community.

Objectives and outputs

The long-term objective of ESP project is to translate our findings into instruments that can be used by education stakeholders. One instrument is a set of policy recommendations, which provides decision-makers with ideas and policy orientations that can be adapted to country specific contexts. Another is a set of toolkits that policy-makers, school administrators and teachers can use to explore ways to identify groups that are at-risk, skills that might be reinforced and concrete action plans to follow. The third instrument is a critical review of existing competency frameworks, which aims at assessing whether or not the conceptual thinking and practices related to key competencies are evidence-based.

Indicators on Skills, Mobility and Job Quality

Purpose

To provide OECD members with a statistical tool for better understanding the relationship between skills mobility and job quality at the local level. This activity is contributing to the OECD Skills Srategy.

Objectives and outputs

LEED has developed a new statistical diagnostic tool to better understand the balance between skills supply and demand at sub-regional level. In 2011-12 this tool is being applied in a broad set of countries, drawing on available data at TL3 level to produce composite indicators of supply and demand. Data is being collected for a number of indicators including qualification levels, productivity, occupational structure, wages and unemployment at sub-regional level and analysed by the Secretariat. The work is an input to the OECD Skills Strategy and the results will be made available at the Skills@OECD website.

Main Developments for 2012

General aspects:

A new methodology to establish benchmarking groups has been developed.

Programme for International Student Assessment (PISA)

Purpose

The Programme for International Student Assessment (PISA) was created by the OECD member countries in 1997 to produce direct assessments of student performance, on a regular basis in an efficient, timely and cost-effective manner; and to provide more relevant and powerful indicators of human capital. PISA produces assessments of reading literacy, mathematical literacy, scientific literacy and a growing range of cross-curricular competencies among 15-year-olds in school.

Objectives and outputs

In 2012, following the release of the initial report of 2009 data in December 2010, there will be further thematic reports produced on learning gains (based on the Canadian PISA cohort study), children of immigrants, private schooling and parental involvement. The results from the 9 additional countries who implemneted PISA 2009 one year later were published in December 2011. In addition, a new product 'PISA in Focus' will be published each month featuring short notes on specific topics including "The gender gap in digital reading", "What makes a country a strong performer in PISA?" and "Gender differences in career expectations."

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Dominican Republic, Ecuador, Egypt, El Salvador, Europe, Georgia, Guatemala, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.

Databases

PISA 2009 international database

Main Developments for 2012

General aspects:

The field trial for PISA 2012 was successfully condicted in 2011, thus preparing for the main study in 2012, which will be conducted among the 67 participating countries and economies. In addition, preparation is already underway for PISA 2015 and the first operational meetings will take place in 2012.

Data collection:

The field trial for the PISA 2012 data collection will be conducted in 2011. As well as data collection in the core subjects of mathematics, reading and science (with mathematics the major domain), there will be data collection from the assessment of problem solving skills (entirely electronic assessment and data collection) and the optional assessment of financial literacy.

Programme for the International Assessment of Adult Competencies (PIAAC)

Purpose

To identify and measure differences between individuals and across countries in key competencies and other economic and social outcomes believed to underpin both personal and societal success; assess their impact on economic and social outcomes; assess the performance of education and training systems in generating the required competencies at the levels required by social and economic demands; and identify key policy levers that lead to enhancing competencies and their effective utilisation.

Objectives and outputs

The objective for 2012 is to complete the data collection and to prepare for the first international report that will be published in 2013.

Non-member countries involved in the activity:

Cyprus, Russian Federation.

Main Developments for 2012

General aspects:

The project will complete the data collection phase and start to create database for the first international report.

Data collection:

It should be completed by March 2012.

Teaching and Learning International Survey (TALIS)

Purpose

To provide data and indicators on the learning environment in schools and about the work environment of teachers, as part of the OECD education indicator work.

Objectives and outputs

The further development of indicators and analysis of teachers, teaching and learning through further analysis of the first round of TALIS (thematic reports on the working experience of new teachers and on teaching practices and innovation) and preparation of a second round, for which data collection is scheduled to take place in 2012 and 2013.

TALIS focusses on the learning environment in schools, sampling teachers and school principals and aims to provide cross-country data, indicators and analysis on factors influencing effective teaching and learning and the working environment of teachers. The focus for the core survey of second round is lower secondary (ISCED Level 2), though countries also have the option to survey elementary (ISCED Level 1) and upper secondary (ISECD Level 3) schools and to perform a school-level linkage with PISA 2012.

Non-member countries involved in the activity:

Brazil, Bulgaria, Croatia, Latvia, Malaysia, Other, Republic of Serbia, Romania, Singapore.

Main Developments for 2012

General aspects:

The first round of TALIS was completed in 2009 with the first results reported in "Creating effective teaching and learning environments: First results from TALIS", published in June 2009. A selection of indicators were also published in Education at a Glance 2009 and in a thematic report by the European Commission "Teachers's professional development".

The work in 2012 will focus on further exploitation of the data from the first round of TALIS, including through the publication of thematic reports on the working experience of new teachers and on teaching practices and innovation in education. The work during 2012 will also focus on the second round of data collection, particularly on the Field Trial in all 33 participating countries as well as the Main Study data collection in the Southern Hemisphere countries.


1.4 Health (OECD)
Health Care Quality Indicators

Purpose

The purpose of the Health Care Quality Indicators (HCQI) Project is to develop a set of indicators that can be used to raise questions regarding quality of care across countries. They have been reported regularly in a chapter in Health at a Glance publication since 2007.

Objectives and outputs

The entire HCQI database was made available at the OECD.Stat for the first time in 2011. The comparability and quality of data were improved and the database was also expanded, covering patient safety indicators.

Non-member countries involved in the activity:

Cyprus, Latvia, Malta, Singapore.

Databases

HCQI Data Collection

Main Developments for 2012

General aspects:

The HCQI Project goals in 2012 are: to review and refine existing quality of care indicators in prepration for the 2012-13 HCQI Data Collection to commence in November 2012; and to undertake data analysis to support research work in relation to the ongoing priorities of the HCQI Project.

The HCQI project is embarking on further development work with respect to indicator improvement and interpretation of cross country variations.

The main focus is on:

• the development of patient safety and patient experience indicators, and
• the inclusion of data from additional countries.

The HCQI project will also expand work in the construction of more direct measures of primary care quality for understanding observed differences and the cross-national analysis of the quality of primary care performance.

Data management:

Development of data collection tool more appropriate for StatWorks.

Health Data

Purpose

To provide policy makers and health researchers with a wide range of statistics on health and health systems to allow comparative analysis of different aspects of the performance of health systems. The database includes data on health status and risk factors to health, health care resources and activities, long-term care resources and activities, pharmaceutical consumption, health expenditure and financing, and health care quality. The data come from four questionnaires: 1) the OECD Health Data questionnaire; 2) the joint OECD/Eurostat/WHO (Europe) questionnaire on non-monetary health care statistics; 3) the joint OECD/Eurostat/WHO health accounts questionnaire; and 4) the OECD Health Care Quality Indicators questionnaire.

Objectives and outputs

Progress was achieved in 2011 in improving the availability and comparability of data on different categories of doctors and nurses that are collected throuth the joint OECD/Eurostat/WHO (Europe) questionnaire. The OECD Secretariat has also shared this joint questionnaire with the WHO Western Pacific Regional Office (WPRO) with a view to encourage the use of the same definition of variables for any data collection in that region to promote greater comparability.

Progress has also been achieved in improving the comparability of data on surgical procedures, based on a proposed new standard methodology to count procedures and a better specification of coverage of health care facilities.

A new edition of "Health at a Glance" was released in November 2011, including a new special chapter on long-term care, and data for large emerging economies where possible.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

OECD Health Data 2012

Main Developments for 2012

General aspects:

Improving the availability and comparability of data on health status (morbidity), health inequalities, health care interventions (surgical procedures), and pharmaceutical consumption.

Working towards the extension of the joint OECD/Eurostat/WHO (Europe) questionnaire on non-monetary health care statistics to include health care activities (in addition to health care resources).

Health Expenditure and Financing

Purpose

To provide policy relevant, comparative data and analysis on health expenditure and financing, and to facilitate harmonisation across national health accounting practices. To provide data sources for research and to make country-specific health accounts data and analysis more widely available.

Objectives and outputs

The sixth Joint OECD, Eurostat and WHO System Health Accounts (SHA) data collection was successfully implemented in 2011. It has improved the availability and comparability of health expenditure data and also contributed to the improvement in health expenditure data published in OECD Health Data. A System of Health Accounts database has been developed as a component of the OECD Statistical Information System. National Health Accounts Experts and others interested in accessing health accounts data can now do so using OECD.Stat and SourceOECD.

Methodological developmental work has continued over recent years on a number of projects: Improving the Comparability and Availability of Private Health Expenditure; Development of Output based Health-Specific Purchasing Power Parities; Estimating Expenditure by Disease, Age and Gender; and Improving Estimates of Imports and Exports of Health Goods and Services.

Since 2006 OECD, EUROSTAT and WHO collaborated to revise the System of Health Accounts methodology. This process was concluded in October 2011 with the publication of the new manual A System of Health Accounts 2011. Pilot studies are currently undertaken to test the implementation of the new manual.

Non-member countries involved in the activity:

Albania, Bosnia and Herzegovina, Brazil, Bulgaria, China, Croatia, Cyprus, India, Indonesia, Latvia, Lithuania, Macedonia, Malta, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Slovenia, South Africa

Databases

OECD Health Expenditure and Financing

Main Developments for 2012

General aspects:

In 2012, the seventh Joint OECD-Eurostat-WHO health accounts (SHA) data collection will take place. Previous improvements to the validation tools used both by the national compilers and the international organisations will continue to provide efficiency gains in the validation exercise and ultimately feed through to improved timeliness in dissemination of the data.

Data collection:

No changes in questionnaire.

Mental Health, Disability and Work

Purpose

In the late 2000s, the OECD Review "Sickness, Disability and Work: Breaking the Barriers" concluded that policy has changed very much in many countries but not enough in most cases; by and large policies remain too passive in nature. The review identified two big questions to be addressed more fervently: First, why so many people take leave of absence or apply for a disability benefit on the grounds of mental illness; and secondly, how people with mental health conditions could be better integrated into the labour market. The new OECD Review "Disability and Work: Challenges for Labour Market Inclusion of People with Mental Illness" aims to address these two questions, by drawing lessons from policies and outcomes in ten member countries (Australia, Austria, Belgium, Denmark, Netherlands, Norway, Sweden, Switzerland, United Kingdom, United States). See www.oecd.org/els/disability.

Objectives and outputs

A data questionnaire was sent to ten member countries (Australia, Austria, Belgium, Denmark, Netherlands, Norway, Sweden, Switzerland, United Kingdom, United States) participating in the new OECD Review "Disability and Work: Challenges for Labour Market Inclusion of People with Mental Illness".

The first report "Sick on the Job? Myths and Realities about Mental Health and Work" was released on 12 December 2011, with a dissemination seminar at the OECD headquarters in Paris. It served as a basis for the next phase of the project which will look in depth into the challenges and policies of selected OECD countries. See www.oecd.org/els/disability.

Main Developments for 2012

General aspects:

Development Preparation of comparative indicators and analysis on the relationship between mental health conditions, work and benefit recipiency; based on data received from ten OECD countries. The reports and the indicators will inform the second phase of the project which aims to provide evidence-based policy conclusions for the countries participating in the project.


1.5 Income and consumption (OECD)
Expert group on Income, Consumption and Wealth

Purpose

Establishing guidelines for the join measurement of income, consumption and wealth at the household level.

Objectives and outputs

To produce two handbooks on methodological guidelines.

Main Developments for 2012

General aspects:

Finalisation of the handbooks.


1.6 Social protection (OECD)
Social Benefit Recipients

Purpose

Detailed data on benefit recipiency in a comparative framework are needed to assess how effective social safety nets are at reaching their objectives.

For instance, they show who benefits from social safety nets, and what share of a targeted population is actually covered. In a longitudinal perspective, these recipiency data help identify the role of safety nets across the economic cycle, and how recipients adjust to changes in programme rules. These questions are essential in the perspective of adapting social systems to future economic and demographic challenges.

Currently, comprehensive data on benefit recipiency is not easily available, and is sometime difficult to obtain even at country level. Furthermore, very little information is usually provided on beneficiary characteristics, almost no information is available on programme entries and exits except in some cases.

The database should ideally cover income replacement benefits and their main supplements paid to the working age population.

Objectives and outputs

In December 2011, a first partial and preliminary version of the database has been made available. The access to the database is restricted to the (OECD and European Commission) people directly involved in the project. In a further step of the project, the database will be made public. This first version includes annual caseloads for 2007 and 2008 and, depending on data availability on each country, the inflows, outflows and the number of recipients broken down by age and gender during the same period.

The main objectives for 2012 are:

• Improve the quality of existent data;
• Use reference time series to compute relevant indicators;
• Gather 2009 and 2010 information and include them in the database.

Non-member countries involved in the activity:

Bulgaria, Cyprus, Latvia, Lithuania, Malta, Romania.

Main Developments for 2012

General aspects:

No major changes regarding the objectives and deliverables.

The questionnaire asking for 2009 and 2010 data, to be sent in 2012, has been improved and simplified with respect to the one sent in 2011.

Data collection:

No major changes are planned.

Social Expenditure

Purpose

The database has been developed to monitor trends in aggregate social expenditure as well as changes in its composition. SOCX includes historical series from 1980 on public and mandatory private social expenditure at programme level classified under the major social policy areas. See www.oecd.org/els/social/expenditure.

Objectives and outputs

Social Expenditure Database: data collection (in co-operation with Eurostat for EU countries) and dissemination on the internet www.oecd.org/els/social/expenditure of expenditure data, programme by programme, grouped in the main expenditure categories, since 1980.

Working Paper #124 "Is the European welfare state really more expensive? Indicators on social spending, 1980-2012 and a manual to the OECD Social Expenditure database (SOCX)" came out in Novermber 2011, including net (after taxes) and voluntary social spending.

Databases

Social expenditures

Main Developments for 2012

General aspects:

No major changes.

Data collection:

Data update every other year. 2008 and 2009 will be collected in first semester of 2012.
We will compute some short term spending projections till 2012 or 2013.



3. Environment and multi-domain statistics (OECD)
1.1 Population and migration (OECD)
International Migration

Purpose

To produce consistent and annual international migration data for OECD member countries and some non-member countries and ensure methodological soundness and comparability of international migration data.

Objectives and outputs

Updating and extending the International Migration Database available via OECD.Stat and publishing an extensive statistical annex in the annual report "International Migration Outlook" (IMO), which contains the most recent available data on migration flows, foreign and immigrant populations, foreign workers, naturalisations and foreign students.

• Producing and improving standardised long-term and temporary inflows series by category and publishing in the IMO and OECD.Stat. Categories for long-term flows include work, family, humanitarian, free circulation; Categories for temporary workers include students, trainees, seasonal workers, working holiday makers, intra-company transfers.

• Updating the Database on Immigrants in OECD Countries (DIOC) for the years 2005/06.

Publication of the OECD SEM Working Paper "Are Recent Immigrants Different? A New Profile of Immigrants in the OECD (DIOC 2005/06)".

• The current version of DIOC-E (release 3.0) covers information on 32 OECD and 68 non-OECD destination countries, including country of birth, sex, educational attainment level, age, labour force status and occupation. Dissemination of DIOC-E (release 3.0) and publication of the OECD Working Paper "International Migrants in Developed, Emerging and Developing Countries: An Extended Profile" (see www.oecd.org/migration/dioc/extended).

Publication "Global Profile of Diasporas. How to better mobilise migrant skills" (forthcoming)

• Collection of thematic indicators of integration of immigrants and their children for a publication.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela.

Databases

Database on Immigrants in OECD Countries (DIOC)
Database on international migration statistics
Standardised migration flows

Main Developments for 2012

General aspects:

Project to disseminate quarterly statistics on labour market outcomes of imigrants.

Develop mechanims to improve and streamline the production of the harmonised statistics.

Release of the update of DIOC 2005/06.

Publication on the indicators of integration of immigrants and their children.

Data collection:

Development of Sicremi network.

Data collection:

In 2012, a new data collection will be launched (DIOC 2010/11) in collaboration with STD. National Institutes for Statistics in OECD countries and other main destination countries will be contacted to update DIOC with population register data and 2010/11 census data.

Data collection:

Development of the dataset with subcategories inside the main work/family/study/humanitarian and others.

Development of the dataset by country of origin and gender.

Data collection:

Project to disseminate these statistics quarterly.

Data collection:

Plan to implement a network of correspondents to collect data on migration in Asia on a regular basis.

Population Projections

Purpose

Maintain a population projections database to achieve transparency in the use of population projections within OECD.

Objectives and outputs

Expanision of the database.

Non-member countries involved in the activity:

Brazil, Bulgaria, China, Cyprus, India, Indonesia, Latvia, Lithuania, Malta, Romania, Russian Federation, South Africa, World.

Databases

MEI SQL

Main Developments for 2012

General aspects:

Update the database with UN revised data for the non-member countries data and national statistical sites for members countries data.


1.2 Labour (OECD)
Annual Labour Force Statistics

Purpose

To provide relevant, reliable annual labour force statistics covering long time series for internal OECD users (in particular, the Economics Department), member country government agencies and other external users in academic institutions and private enterprise.

Objectives and outputs

The main objective is to provide long time series for key annual statistics on population, labour force, employment and unemployment. This database contains annual statistics for OECD member countries comprising: population, total employment, unemployment, civilian employment by sectors, part-time employment, duration of unemployment. Published output also includes participation and unemployment rates by gender and detailed age groups as well as comparative tables for the main components of the labour force.

Data are available for all OECD member countries and for OECD-Total, Euro area and European Union. Time series cover 20 years for most countries. The long time-series for the data presented facilitate identification of structural changes in labour force over time.

Published output are also accompanied by target OECD and ILO international statistical standards (definitions, etc) and summary methodological information (national definitions, coverage, collection, calculation, series breaks, sources) used by individual OECD member countries in the compilation of the statistics published in the ALFS.

Databases

Annual Labour Force Statistics

Main Developments for 2012

Data collection:

Targeted countries slow at responding to the annual questionnaire will be requested to speed up their response.

Infra-annual Labour Force Statistics

Purpose

To provide relevant, reliable key infra-annual labour force statistics such as employment and unemployment (levels, rates) for internal OECD users, member country government agencies and other external users in academic institutions and private enterprise.

Objectives and outputs

The main objective is to provide long time series for key infra-annual labour statistics as well as timely short-term indicators on the labour force such as employment and unemployment. Data are disseminated in the OECD Main Economic Indicators (MEI) database, a monthly press release on harmonised unemployment and on OECD.Stat.

The MEI database contains monthly, quarterly and annual indicators on employment, unemployment, labour compensation and for some countries indicators on vacancies, hours worked, labour disputes, etc.

Data are available for all OECD member countries and for key series (employment, unemployment, hourly earnings) aggregates for OECD-Total, Major seven, OECD-Europe, EU27 and Euro area and for selected non-member countries.

In the MEI series are accompanied by summary metadata outlining key concepts, coverage, etc. Published output are also accompanied by target OECD and ILO international statistical standards (definitions, etc) and summary methodological information (national definitions, coverage, collection, calculation, series breaks, sources) used by individual OECD member countries in data compilation.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

ALFS_POP_VITAL ALFS_POP_LABOUR ALFS_EMP ALFS_SUMTAB

Main Developments for 2012

General aspects:

Quarterly News Release on Employment.

Data collection:

Small number of countries slow at responding to the annual questionnaire will be requested to speed up their response. The collection of further data and metadata for NMEs, in particular, China and India.

Labour Market Statistics

Purpose

To produce a comprehensive set of statistics to monitor labour market developments in OECD countries, while enhancing their international comparability.

To monitor the current jobs crisis and subsequent jobs recovery.

To provide statistical information to undertake labour market analyses and policy formulation to be discussed at international meetings on labour policies.

To provide background information for preparatory work for international statistical guidelines.

Objectives and outputs

Regular collection, production and dissemination of labour statistics on labour market outcomes and performance (i.e. earnings levels, earnings distribution, etc.) and institutional variables (i.e. minimum wages, stock of participants and expenditure on labour market programmes - LMP data, EPL index, trade union membership, collective bargaining coverage, etc.) to serve as an analytical basis for labour market analysis.

Data are used to produce the statistical annex of the Employment Outlook and the internal and external on-line Labour Force Statistics database stored on OECD.Stat (Key Employment Statistics and www.oecd.org/els/employment/data).

Some of the data series are reported in the OECD Main Economic Indicators database (http://stats.oecd.org/index.aspx) and in the OECD Annual Labour Force Statistics publication.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Labour Market Statistics

Main Developments for 2012

General aspects:

The expansion of the LFS database will gain momentum to improve country coverage and comparibility regarding job tenure, hours worked, minimum wages and wage earnings data and to compile data in the area of youth and workforce ageing, broader measures of unemployment, etc.

Time permitting a closer look at statistics to characterise informal employment will be attempted based on existing international guidelines on this subject.

Work underway to consolidate earnings related statistics and to improve their comparability.

Continuation of the assessment of annual working time statistics to improve their international comparability with the aim of publishing of comparable estimates on annual hours actually worked per employed person in the statistical annex of the Employment Outlook.

Continuous migration of data and metadata that are relevant for labour market statistics to OECD.Stat for internal and external web based dissemination.

Data collection:

Given the analytical capacity of working with indiivual records for policy formulation, it is felt important, where possible, to develop the capability for direct access to labour force survey (public use) microdatasets in OECD Member States with a particular focus on non-EU countries.

So far, we have been able to access to labour force survey public use files of 9 OECD countries.

Besides, in the two-year period of 2009-2010, public use files of household survey microdatasets were collected for Brazil, India, Indonesia and South Africa as well as for Mexico and Turkey.

Further exploration on the availability of labour force and income surveys will be pursued in 2011 to include micro-datasets for Chile, the Russian Federation, and other OECD countries.

In 2011, micro-datasets stored currently are expected to be updated.

Data management:

Migration of the remaining parts of Earnings distribution database in 2012.

Unit Labour Costs

Purpose

To maintain and expand the OECD System of Unit Labour Cost and Related Indicators, which brings together a wide range of data sources for all OECD member countries. A set of internationally comparable quarterly unit labour cost (ULC) indexes for eight economic activities (ULC) indexes are produced together with annual series for ULC, Labour productivity, Labour Compensation (including PPP adjusted), Labour Income shares and Exchange rate adjusted ULC.

In addition, early estimates of quarterly ULCs are produced at t+75 (as a target) and disseminated via a media releease.

At the same time, labour compensation statistics are updated an on-going basis every month, as an input to the MEI publications.

The quarterly ULCs provide the inputs to the Economics Department for production of their real effective exchange rates competitiveness indicators.

Objectives and outputs

The key objectives of 2011 were to review the quality and comparability of established production system. Early estimates of quarterly (EEQ) ULCs were developed which improve the timeliness, comparability with those produced by ECB, and analytical capacity of the existing ULCs. The EEQ ULCs are compiled indirect method which means that seasonally adjusted (SA) ULCs are compiled from SA compenent series collected from NSOs as much as possible. At the same time, ULC media release is revised. In addition, annual data was prepared for publication in the OECD Factbook. Joint ULC project between STD and ECB was continued.

Non-member countries involved in the activity:

Brazil, Bulgaria, China, Cyprus, Lithuania, Malta, Russian Federation, South Africa.

Main Developments for 2012

General aspects:

Major tasks in 2012 will be integrate estimates of ULC within the Productivity database. Early ULC estimates for Total economy will continue being updated with continued co-operation from ECB. At the same time, compilation of new ULCs for G20 countries will be pursued.

Data collection:

Major task will be the incorporation of the very large number of new series into the on-going MEI data collection processes.


1.3 Education (OECD)
AHELO (Assesment of Higher Education Learning Outcomes) Feasibility Study

Purpose

The purpose of the AHELO feasibility study is to assess whether it is possible to measure what undergraduate degree students know and can do at the international level, in order to provide better information to higher education institutions, governments and other stakeholders, including students and employers. This will entail an evaluation of the scientific feasibility of undertaking an international assessment of higher education learning outcomes (in generic and subject-specific skills) at the end of a Bachelor's degree programme, as well as gauging the feasibility of its practical implementation.

Objectives and outputs

In 2011, assessment instruments have been developed, translated, adapted and pilot-tested in all 3 strands of work (generic skills, economics and engineering) in participating countries. Likewise, context survey instruments have been developed, translated, adapted and pilot-tested.

Non-member countries involved in the activity:

Colombia, Egypt, Other, Russian Federation.

Main Developments for 2012

General aspects:

Work in 2012 will involve:

• The international implementation of instruments in participating countries and institutions;
• The analysis of the data collected;
• The preparation of the final report;
• Its discussion at a final conference of the feasibility study to be held on 10-11 December in the Netherlands.

Education (INES activities)

Purpose

To produce and publish indicators and analysis on the operation, evolution and impact of education, from early childhood through formal education to learning and training throughout life. The collected data cover the outputs of educational institutions, the policy levers that shape educational outputs, the human and financial resources invested in education, structural characteristics of education systems, and the economic and social outcomes of education.

Objectives and outputs

Production of indicators on the financing of education, participation in and graduation from education. Indicators on educational attainment of the adult population and associated labour market outcomes, teacher salaries and work conditions, and instruction time are provided by INES Networks LSO (Labour Market, Economic and Social Outcomes of Learnong) and NESLI (Collection and Adjudication of System-level descriptive Information on Educational Structures, Policies and Practices).

The main publication is "Education at a Glance".

Main achievements in 2011 include the consolidation of the technical documentation of the education data collection, the development of indicators on the net present value of education, the relative earnings according to the level of educational attainment and the social outcomes of education as well as on how efficiently are resources used in education, on how do education systems monitor school performance. It also includes PISA 2009 results, the new indicators on school accountability, upper secondary and tertiary studies by field of education, upper secondary completion rates and the development of trend data on access and graduation to education and on financial aid to students. Ongoing methodological work includes: students' mobility and graduation comparability study, conceptual framework for the measurement of knowledge and skills, development of efficiency measures, consolidation of tertiary indicators and improvement of the quality of ISCED implementation.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Russian Federation.

Databases

Education database

Main Developments for 2012

General aspects:

Education database will benefit from the OECD.Stat and MetaStore developments. Trend data will be reviewed. Data and indicator development will include improving the quality and relevance of the tertiary indicators on entry, graduation, tuition fees and student mobility, further developing the indicators on educational efficiency and on upper secondary completion rates . A programme of work will also continue to review comparability issues with the international education classification (ISCED) and to develop solutions to tackle these.

Data collection:

New quality and timeliness standards for data collection and indicator compilation will be introduced.

Inclusion of a new questionnaire on non-teaching staff.

Data management:

None.

Education and Social Progress

Purpose

Education and Social Progress (ESP) project will:

• Analyse the role cognitive and non-cognitive skills play in fostering measures of well-being and social progress in OECD countries; and
• Identify how skills that matter can be better developed in formal, non-formal and informal learning environments including family, school and the community.

Objectives and outputs

The long-term objective of ESP project is to translate our findings into instruments that can be used by education stakeholders. One instrument is a set of policy recommendations, which provides decision-makers with ideas and policy orientations that can be adapted to country specific contexts. Another is a set of toolkits that policy-makers, school administrators and teachers can use to explore ways to identify groups that are at-risk, skills that might be reinforced and concrete action plans to follow. The third instrument is a critical review of existing competency frameworks, which aims at assessing whether or not the conceptual thinking and practices related to key competencies are evidence-based.

Indicators on Skills, Mobility and Job Quality

Purpose

To provide OECD members with a statistical tool for better understanding the relationship between skills mobility and job quality at the local level. This activity is contributing to the OECD Skills Srategy.

Objectives and outputs

LEED has developed a new statistical diagnostic tool to better understand the balance between skills supply and demand at sub-regional level. In 2011-12 this tool is being applied in a broad set of countries, drawing on available data at TL3 level to produce composite indicators of supply and demand. Data is being collected for a number of indicators including qualification levels, productivity, occupational structure, wages and unemployment at sub-regional level and analysed by the Secretariat. The work is an input to the OECD Skills Strategy and the results will be made available at the Skills@OECD website.

Main Developments for 2012

General aspects:

A new methodology to establish benchmarking groups has been developed.

Programme for International Student Assessment (PISA)

Purpose

The Programme for International Student Assessment (PISA) was created by the OECD member countries in 1997 to produce direct assessments of student performance, on a regular basis in an efficient, timely and cost-effective manner; and to provide more relevant and powerful indicators of human capital. PISA produces assessments of reading literacy, mathematical literacy, scientific literacy and a growing range of cross-curricular competencies among 15-year-olds in school.

Objectives and outputs

In 2012, following the release of the initial report of 2009 data in December 2010, there will be further thematic reports produced on learning gains (based on the Canadian PISA cohort study), children of immigrants, private schooling and parental involvement. The results from the 9 additional countries who implemneted PISA 2009 one year later were published in December 2011. In addition, a new product 'PISA in Focus' will be published each month featuring short notes on specific topics including "The gender gap in digital reading", "What makes a country a strong performer in PISA?" and "Gender differences in career expectations."

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Dominican Republic, Ecuador, Egypt, El Salvador, Europe, Georgia, Guatemala, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.

Databases

PISA 2009 international database

Main Developments for 2012

General aspects:

The field trial for PISA 2012 was successfully condicted in 2011, thus preparing for the main study in 2012, which will be conducted among the 67 participating countries and economies. In addition, preparation is already underway for PISA 2015 and the first operational meetings will take place in 2012.

Data collection:

The field trial for the PISA 2012 data collection will be conducted in 2011. As well as data collection in the core subjects of mathematics, reading and science (with mathematics the major domain), there will be data collection from the assessment of problem solving skills (entirely electronic assessment and data collection) and the optional assessment of financial literacy.

Programme for the International Assessment of Adult Competencies (PIAAC)

Purpose

To identify and measure differences between individuals and across countries in key competencies and other economic and social outcomes believed to underpin both personal and societal success; assess their impact on economic and social outcomes; assess the performance of education and training systems in generating the required competencies at the levels required by social and economic demands; and identify key policy levers that lead to enhancing competencies and their effective utilisation.

Objectives and outputs

The objective for 2012 is to complete the data collection and to prepare for the first international report that will be published in 2013.

Non-member countries involved in the activity:

Cyprus, Russian Federation.

Main Developments for 2012

General aspects:

The project will complete the data collection phase and start to create database for the first international report.

Data collection:

It should be completed by March 2012.

Teaching and Learning International Survey (TALIS)

Purpose

To provide data and indicators on the learning environment in schools and about the work environment of teachers, as part of the OECD education indicator work.

Objectives and outputs

The further development of indicators and analysis of teachers, teaching and learning through further analysis of the first round of TALIS (thematic reports on the working experience of new teachers and on teaching practices and innovation) and preparation of a second round, for which data collection is scheduled to take place in 2012 and 2013.

TALIS focusses on the learning environment in schools, sampling teachers and school principals and aims to provide cross-country data, indicators and analysis on factors influencing effective teaching and learning and the working environment of teachers. The focus for the core survey of second round is lower secondary (ISCED Level 2), though countries also have the option to survey elementary (ISCED Level 1) and upper secondary (ISECD Level 3) schools and to perform a school-level linkage with PISA 2012.

Non-member countries involved in the activity:

Brazil, Bulgaria, Croatia, Latvia, Malaysia, Other, Republic of Serbia, Romania, Singapore.

Main Developments for 2012

General aspects:

The first round of TALIS was completed in 2009 with the first results reported in "Creating effective teaching and learning environments: First results from TALIS", published in June 2009. A selection of indicators were also published in Education at a Glance 2009 and in a thematic report by the European Commission "Teachers's professional development".

The work in 2012 will focus on further exploitation of the data from the first round of TALIS, including through the publication of thematic reports on the working experience of new teachers and on teaching practices and innovation in education. The work during 2012 will also focus on the second round of data collection, particularly on the Field Trial in all 33 participating countries as well as the Main Study data collection in the Southern Hemisphere countries.


1.4 Health (OECD)
Health Care Quality Indicators

Purpose

The purpose of the Health Care Quality Indicators (HCQI) Project is to develop a set of indicators that can be used to raise questions regarding quality of care across countries. They have been reported regularly in a chapter in Health at a Glance publication since 2007.

Objectives and outputs

The entire HCQI database was made available at the OECD.Stat for the first time in 2011. The comparability and quality of data were improved and the database was also expanded, covering patient safety indicators.

Non-member countries involved in the activity:

Cyprus, Latvia, Malta, Singapore.

Databases

HCQI Data Collection

Main Developments for 2012

General aspects:

The HCQI Project goals in 2012 are: to review and refine existing quality of care indicators in prepration for the 2012-13 HCQI Data Collection to commence in November 2012; and to undertake data analysis to support research work in relation to the ongoing priorities of the HCQI Project.

The HCQI project is embarking on further development work with respect to indicator improvement and interpretation of cross country variations.

The main focus is on:

• the development of patient safety and patient experience indicators, and
• the inclusion of data from additional countries.

The HCQI project will also expand work in the construction of more direct measures of primary care quality for understanding observed differences and the cross-national analysis of the quality of primary care performance.

Data management:

Development of data collection tool more appropriate for StatWorks.

Health Data

Purpose

To provide policy makers and health researchers with a wide range of statistics on health and health systems to allow comparative analysis of different aspects of the performance of health systems. The database includes data on health status and risk factors to health, health care resources and activities, long-term care resources and activities, pharmaceutical consumption, health expenditure and financing, and health care quality. The data come from four questionnaires: 1) the OECD Health Data questionnaire; 2) the joint OECD/Eurostat/WHO (Europe) questionnaire on non-monetary health care statistics; 3) the joint OECD/Eurostat/WHO health accounts questionnaire; and 4) the OECD Health Care Quality Indicators questionnaire.

Objectives and outputs

Progress was achieved in 2011 in improving the availability and comparability of data on different categories of doctors and nurses that are collected throuth the joint OECD/Eurostat/WHO (Europe) questionnaire. The OECD Secretariat has also shared this joint questionnaire with the WHO Western Pacific Regional Office (WPRO) with a view to encourage the use of the same definition of variables for any data collection in that region to promote greater comparability.

Progress has also been achieved in improving the comparability of data on surgical procedures, based on a proposed new standard methodology to count procedures and a better specification of coverage of health care facilities.

A new edition of "Health at a Glance" was released in November 2011, including a new special chapter on long-term care, and data for large emerging economies where possible.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

OECD Health Data 2012

Main Developments for 2012

General aspects:

Improving the availability and comparability of data on health status (morbidity), health inequalities, health care interventions (surgical procedures), and pharmaceutical consumption.

Working towards the extension of the joint OECD/Eurostat/WHO (Europe) questionnaire on non-monetary health care statistics to include health care activities (in addition to health care resources).

Health Expenditure and Financing

Purpose

To provide policy relevant, comparative data and analysis on health expenditure and financing, and to facilitate harmonisation across national health accounting practices. To provide data sources for research and to make country-specific health accounts data and analysis more widely available.

Objectives and outputs

The sixth Joint OECD, Eurostat and WHO System Health Accounts (SHA) data collection was successfully implemented in 2011. It has improved the availability and comparability of health expenditure data and also contributed to the improvement in health expenditure data published in OECD Health Data. A System of Health Accounts database has been developed as a component of the OECD Statistical Information System. National Health Accounts Experts and others interested in accessing health accounts data can now do so using OECD.Stat and SourceOECD.

Methodological developmental work has continued over recent years on a number of projects: Improving the Comparability and Availability of Private Health Expenditure; Development of Output based Health-Specific Purchasing Power Parities; Estimating Expenditure by Disease, Age and Gender; and Improving Estimates of Imports and Exports of Health Goods and Services.

Since 2006 OECD, EUROSTAT and WHO collaborated to revise the System of Health Accounts methodology. This process was concluded in October 2011 with the publication of the new manual A System of Health Accounts 2011. Pilot studies are currently undertaken to test the implementation of the new manual.

Non-member countries involved in the activity:

Albania, Bosnia and Herzegovina, Brazil, Bulgaria, China, Croatia, Cyprus, India, Indonesia, Latvia, Lithuania, Macedonia, Malta, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Slovenia, South Africa

Databases

OECD Health Expenditure and Financing

Main Developments for 2012

General aspects:

In 2012, the seventh Joint OECD-Eurostat-WHO health accounts (SHA) data collection will take place. Previous improvements to the validation tools used both by the national compilers and the international organisations will continue to provide efficiency gains in the validation exercise and ultimately feed through to improved timeliness in dissemination of the data.

Data collection:

No changes in questionnaire.

Mental Health, Disability and Work

Purpose

In the late 2000s, the OECD Review "Sickness, Disability and Work: Breaking the Barriers" concluded that policy has changed very much in many countries but not enough in most cases; by and large policies remain too passive in nature. The review identified two big questions to be addressed more fervently: First, why so many people take leave of absence or apply for a disability benefit on the grounds of mental illness; and secondly, how people with mental health conditions could be better integrated into the labour market. The new OECD Review "Disability and Work: Challenges for Labour Market Inclusion of People with Mental Illness" aims to address these two questions, by drawing lessons from policies and outcomes in ten member countries (Australia, Austria, Belgium, Denmark, Netherlands, Norway, Sweden, Switzerland, United Kingdom, United States). See www.oecd.org/els/disability.

Objectives and outputs

A data questionnaire was sent to ten member countries (Australia, Austria, Belgium, Denmark, Netherlands, Norway, Sweden, Switzerland, United Kingdom, United States) participating in the new OECD Review "Disability and Work: Challenges for Labour Market Inclusion of People with Mental Illness".

The first report "Sick on the Job? Myths and Realities about Mental Health and Work" was released on 12 December 2011, with a dissemination seminar at the OECD headquarters in Paris. It served as a basis for the next phase of the project which will look in depth into the challenges and policies of selected OECD countries. See www.oecd.org/els/disability.

Main Developments for 2012

General aspects:

Development Preparation of comparative indicators and analysis on the relationship between mental health conditions, work and benefit recipiency; based on data received from ten OECD countries. The reports and the indicators will inform the second phase of the project which aims to provide evidence-based policy conclusions for the countries participating in the project.


1.5 Income and consumption (OECD)
Expert group on Income, Consumption and Wealth

Purpose

Establishing guidelines for the join measurement of income, consumption and wealth at the household level.

Objectives and outputs

To produce two handbooks on methodological guidelines.

Main Developments for 2012

General aspects:

Finalisation of the handbooks.


1.6 Social protection (OECD)
Social Benefit Recipients

Purpose

Detailed data on benefit recipiency in a comparative framework are needed to assess how effective social safety nets are at reaching their objectives.

For instance, they show who benefits from social safety nets, and what share of a targeted population is actually covered. In a longitudinal perspective, these recipiency data help identify the role of safety nets across the economic cycle, and how recipients adjust to changes in programme rules. These questions are essential in the perspective of adapting social systems to future economic and demographic challenges.

Currently, comprehensive data on benefit recipiency is not easily available, and is sometime difficult to obtain even at country level. Furthermore, very little information is usually provided on beneficiary characteristics, almost no information is available on programme entries and exits except in some cases.

The database should ideally cover income replacement benefits and their main supplements paid to the working age population.

Objectives and outputs

In December 2011, a first partial and preliminary version of the database has been made available. The access to the database is restricted to the (OECD and European Commission) people directly involved in the project. In a further step of the project, the database will be made public. This first version includes annual caseloads for 2007 and 2008 and, depending on data availability on each country, the inflows, outflows and the number of recipients broken down by age and gender during the same period.

The main objectives for 2012 are:

• Improve the quality of existent data;
• Use reference time series to compute relevant indicators;
• Gather 2009 and 2010 information and include them in the database.

Non-member countries involved in the activity:

Bulgaria, Cyprus, Latvia, Lithuania, Malta, Romania.

Main Developments for 2012

General aspects:

No major changes regarding the objectives and deliverables.

The questionnaire asking for 2009 and 2010 data, to be sent in 2012, has been improved and simplified with respect to the one sent in 2011.

Data collection:

No major changes are planned.

Social Expenditure

Purpose

The database has been developed to monitor trends in aggregate social expenditure as well as changes in its composition. SOCX includes historical series from 1980 on public and mandatory private social expenditure at programme level classified under the major social policy areas. See www.oecd.org/els/social/expenditure.

Objectives and outputs

Social Expenditure Database: data collection (in co-operation with Eurostat for EU countries) and dissemination on the internet www.oecd.org/els/social/expenditure of expenditure data, programme by programme, grouped in the main expenditure categories, since 1980.

Working Paper #124 "Is the European welfare state really more expensive? Indicators on social spending, 1980-2012 and a manual to the OECD Social Expenditure database (SOCX)" came out in Novermber 2011, including net (after taxes) and voluntary social spending.

Databases

Social expenditures

Main Developments for 2012

General aspects:

No major changes.

Data collection:

Data update every other year. 2008 and 2009 will be collected in first semester of 2012.
We will compute some short term spending projections till 2012 or 2013.



4. Methodology of data collection, processing, dissemination and analysis (OECD)
1.1 Population and migration (OECD)
International Migration

Purpose

To produce consistent and annual international migration data for OECD member countries and some non-member countries and ensure methodological soundness and comparability of international migration data.

Objectives and outputs

Updating and extending the International Migration Database available via OECD.Stat and publishing an extensive statistical annex in the annual report "International Migration Outlook" (IMO), which contains the most recent available data on migration flows, foreign and immigrant populations, foreign workers, naturalisations and foreign students.

• Producing and improving standardised long-term and temporary inflows series by category and publishing in the IMO and OECD.Stat. Categories for long-term flows include work, family, humanitarian, free circulation; Categories for temporary workers include students, trainees, seasonal workers, working holiday makers, intra-company transfers.

• Updating the Database on Immigrants in OECD Countries (DIOC) for the years 2005/06.

Publication of the OECD SEM Working Paper "Are Recent Immigrants Different? A New Profile of Immigrants in the OECD (DIOC 2005/06)".

• The current version of DIOC-E (release 3.0) covers information on 32 OECD and 68 non-OECD destination countries, including country of birth, sex, educational attainment level, age, labour force status and occupation. Dissemination of DIOC-E (release 3.0) and publication of the OECD Working Paper "International Migrants in Developed, Emerging and Developing Countries: An Extended Profile" (see www.oecd.org/migration/dioc/extended).

Publication "Global Profile of Diasporas. How to better mobilise migrant skills" (forthcoming)

• Collection of thematic indicators of integration of immigrants and their children for a publication.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela.

Databases

Database on Immigrants in OECD Countries (DIOC)
Database on international migration statistics
Standardised migration flows

Main Developments for 2012

General aspects:

Project to disseminate quarterly statistics on labour market outcomes of imigrants.

Develop mechanims to improve and streamline the production of the harmonised statistics.

Release of the update of DIOC 2005/06.

Publication on the indicators of integration of immigrants and their children.

Data collection:

Development of Sicremi network.

Data collection:

In 2012, a new data collection will be launched (DIOC 2010/11) in collaboration with STD. National Institutes for Statistics in OECD countries and other main destination countries will be contacted to update DIOC with population register data and 2010/11 census data.

Data collection:

Development of the dataset with subcategories inside the main work/family/study/humanitarian and others.

Development of the dataset by country of origin and gender.

Data collection:

Project to disseminate these statistics quarterly.

Data collection:

Plan to implement a network of correspondents to collect data on migration in Asia on a regular basis.

Population Projections

Purpose

Maintain a population projections database to achieve transparency in the use of population projections within OECD.

Objectives and outputs

Expanision of the database.

Non-member countries involved in the activity:

Brazil, Bulgaria, China, Cyprus, India, Indonesia, Latvia, Lithuania, Malta, Romania, Russian Federation, South Africa, World.

Databases

MEI SQL

Main Developments for 2012

General aspects:

Update the database with UN revised data for the non-member countries data and national statistical sites for members countries data.


1.2 Labour (OECD)
Annual Labour Force Statistics

Purpose

To provide relevant, reliable annual labour force statistics covering long time series for internal OECD users (in particular, the Economics Department), member country government agencies and other external users in academic institutions and private enterprise.

Objectives and outputs

The main objective is to provide long time series for key annual statistics on population, labour force, employment and unemployment. This database contains annual statistics for OECD member countries comprising: population, total employment, unemployment, civilian employment by sectors, part-time employment, duration of unemployment. Published output also includes participation and unemployment rates by gender and detailed age groups as well as comparative tables for the main components of the labour force.

Data are available for all OECD member countries and for OECD-Total, Euro area and European Union. Time series cover 20 years for most countries. The long time-series for the data presented facilitate identification of structural changes in labour force over time.

Published output are also accompanied by target OECD and ILO international statistical standards (definitions, etc) and summary methodological information (national definitions, coverage, collection, calculation, series breaks, sources) used by individual OECD member countries in the compilation of the statistics published in the ALFS.

Databases

Annual Labour Force Statistics

Main Developments for 2012

Data collection:

Targeted countries slow at responding to the annual questionnaire will be requested to speed up their response.

Infra-annual Labour Force Statistics

Purpose

To provide relevant, reliable key infra-annual labour force statistics such as employment and unemployment (levels, rates) for internal OECD users, member country government agencies and other external users in academic institutions and private enterprise.

Objectives and outputs

The main objective is to provide long time series for key infra-annual labour statistics as well as timely short-term indicators on the labour force such as employment and unemployment. Data are disseminated in the OECD Main Economic Indicators (MEI) database, a monthly press release on harmonised unemployment and on OECD.Stat.

The MEI database contains monthly, quarterly and annual indicators on employment, unemployment, labour compensation and for some countries indicators on vacancies, hours worked, labour disputes, etc.

Data are available for all OECD member countries and for key series (employment, unemployment, hourly earnings) aggregates for OECD-Total, Major seven, OECD-Europe, EU27 and Euro area and for selected non-member countries.

In the MEI series are accompanied by summary metadata outlining key concepts, coverage, etc. Published output are also accompanied by target OECD and ILO international statistical standards (definitions, etc) and summary methodological information (national definitions, coverage, collection, calculation, series breaks, sources) used by individual OECD member countries in data compilation.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

ALFS_POP_VITAL ALFS_POP_LABOUR ALFS_EMP ALFS_SUMTAB

Main Developments for 2012

General aspects:

Quarterly News Release on Employment.

Data collection:

Small number of countries slow at responding to the annual questionnaire will be requested to speed up their response. The collection of further data and metadata for NMEs, in particular, China and India.

Labour Market Statistics

Purpose

To produce a comprehensive set of statistics to monitor labour market developments in OECD countries, while enhancing their international comparability.

To monitor the current jobs crisis and subsequent jobs recovery.

To provide statistical information to undertake labour market analyses and policy formulation to be discussed at international meetings on labour policies.

To provide background information for preparatory work for international statistical guidelines.

Objectives and outputs

Regular collection, production and dissemination of labour statistics on labour market outcomes and performance (i.e. earnings levels, earnings distribution, etc.) and institutional variables (i.e. minimum wages, stock of participants and expenditure on labour market programmes - LMP data, EPL index, trade union membership, collective bargaining coverage, etc.) to serve as an analytical basis for labour market analysis.

Data are used to produce the statistical annex of the Employment Outlook and the internal and external on-line Labour Force Statistics database stored on OECD.Stat (Key Employment Statistics and www.oecd.org/els/employment/data).

Some of the data series are reported in the OECD Main Economic Indicators database (http://stats.oecd.org/index.aspx) and in the OECD Annual Labour Force Statistics publication.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Labour Market Statistics

Main Developments for 2012

General aspects:

The expansion of the LFS database will gain momentum to improve country coverage and comparibility regarding job tenure, hours worked, minimum wages and wage earnings data and to compile data in the area of youth and workforce ageing, broader measures of unemployment, etc.

Time permitting a closer look at statistics to characterise informal employment will be attempted based on existing international guidelines on this subject.

Work underway to consolidate earnings related statistics and to improve their comparability.

Continuation of the assessment of annual working time statistics to improve their international comparability with the aim of publishing of comparable estimates on annual hours actually worked per employed person in the statistical annex of the Employment Outlook.

Continuous migration of data and metadata that are relevant for labour market statistics to OECD.Stat for internal and external web based dissemination.

Data collection:

Given the analytical capacity of working with indiivual records for policy formulation, it is felt important, where possible, to develop the capability for direct access to labour force survey (public use) microdatasets in OECD Member States with a particular focus on non-EU countries.

So far, we have been able to access to labour force survey public use files of 9 OECD countries.

Besides, in the two-year period of 2009-2010, public use files of household survey microdatasets were collected for Brazil, India, Indonesia and South Africa as well as for Mexico and Turkey.

Further exploration on the availability of labour force and income surveys will be pursued in 2011 to include micro-datasets for Chile, the Russian Federation, and other OECD countries.

In 2011, micro-datasets stored currently are expected to be updated.

Data management:

Migration of the remaining parts of Earnings distribution database in 2012.

Unit Labour Costs

Purpose

To maintain and expand the OECD System of Unit Labour Cost and Related Indicators, which brings together a wide range of data sources for all OECD member countries. A set of internationally comparable quarterly unit labour cost (ULC) indexes for eight economic activities (ULC) indexes are produced together with annual series for ULC, Labour productivity, Labour Compensation (including PPP adjusted), Labour Income shares and Exchange rate adjusted ULC.

In addition, early estimates of quarterly ULCs are produced at t+75 (as a target) and disseminated via a media releease.

At the same time, labour compensation statistics are updated an on-going basis every month, as an input to the MEI publications.

The quarterly ULCs provide the inputs to the Economics Department for production of their real effective exchange rates competitiveness indicators.

Objectives and outputs

The key objectives of 2011 were to review the quality and comparability of established production system. Early estimates of quarterly (EEQ) ULCs were developed which improve the timeliness, comparability with those produced by ECB, and analytical capacity of the existing ULCs. The EEQ ULCs are compiled indirect method which means that seasonally adjusted (SA) ULCs are compiled from SA compenent series collected from NSOs as much as possible. At the same time, ULC media release is revised. In addition, annual data was prepared for publication in the OECD Factbook. Joint ULC project between STD and ECB was continued.

Non-member countries involved in the activity:

Brazil, Bulgaria, China, Cyprus, Lithuania, Malta, Russian Federation, South Africa.

Main Developments for 2012

General aspects:

Major tasks in 2012 will be integrate estimates of ULC within the Productivity database. Early ULC estimates for Total economy will continue being updated with continued co-operation from ECB. At the same time, compilation of new ULCs for G20 countries will be pursued.

Data collection:

Major task will be the incorporation of the very large number of new series into the on-going MEI data collection processes.


1.3 Education (OECD)
AHELO (Assesment of Higher Education Learning Outcomes) Feasibility Study

Purpose

The purpose of the AHELO feasibility study is to assess whether it is possible to measure what undergraduate degree students know and can do at the international level, in order to provide better information to higher education institutions, governments and other stakeholders, including students and employers. This will entail an evaluation of the scientific feasibility of undertaking an international assessment of higher education learning outcomes (in generic and subject-specific skills) at the end of a Bachelor's degree programme, as well as gauging the feasibility of its practical implementation.

Objectives and outputs

In 2011, assessment instruments have been developed, translated, adapted and pilot-tested in all 3 strands of work (generic skills, economics and engineering) in participating countries. Likewise, context survey instruments have been developed, translated, adapted and pilot-tested.

Non-member countries involved in the activity:

Colombia, Egypt, Other, Russian Federation.

Main Developments for 2012

General aspects:

Work in 2012 will involve:

• The international implementation of instruments in participating countries and institutions;
• The analysis of the data collected;
• The preparation of the final report;
• Its discussion at a final conference of the feasibility study to be held on 10-11 December in the Netherlands.

Education (INES activities)

Purpose

To produce and publish indicators and analysis on the operation, evolution and impact of education, from early childhood through formal education to learning and training throughout life. The collected data cover the outputs of educational institutions, the policy levers that shape educational outputs, the human and financial resources invested in education, structural characteristics of education systems, and the economic and social outcomes of education.

Objectives and outputs

Production of indicators on the financing of education, participation in and graduation from education. Indicators on educational attainment of the adult population and associated labour market outcomes, teacher salaries and work conditions, and instruction time are provided by INES Networks LSO (Labour Market, Economic and Social Outcomes of Learnong) and NESLI (Collection and Adjudication of System-level descriptive Information on Educational Structures, Policies and Practices).

The main publication is "Education at a Glance".

Main achievements in 2011 include the consolidation of the technical documentation of the education data collection, the development of indicators on the net present value of education, the relative earnings according to the level of educational attainment and the social outcomes of education as well as on how efficiently are resources used in education, on how do education systems monitor school performance. It also includes PISA 2009 results, the new indicators on school accountability, upper secondary and tertiary studies by field of education, upper secondary completion rates and the development of trend data on access and graduation to education and on financial aid to students. Ongoing methodological work includes: students' mobility and graduation comparability study, conceptual framework for the measurement of knowledge and skills, development of efficiency measures, consolidation of tertiary indicators and improvement of the quality of ISCED implementation.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Russian Federation.

Databases

Education database

Main Developments for 2012

General aspects:

Education database will benefit from the OECD.Stat and MetaStore developments. Trend data will be reviewed. Data and indicator development will include improving the quality and relevance of the tertiary indicators on entry, graduation, tuition fees and student mobility, further developing the indicators on educational efficiency and on upper secondary completion rates . A programme of work will also continue to review comparability issues with the international education classification (ISCED) and to develop solutions to tackle these.

Data collection:

New quality and timeliness standards for data collection and indicator compilation will be introduced.

Inclusion of a new questionnaire on non-teaching staff.

Data management:

None.

Education and Social Progress

Purpose

Education and Social Progress (ESP) project will:

• Analyse the role cognitive and non-cognitive skills play in fostering measures of well-being and social progress in OECD countries; and
• Identify how skills that matter can be better developed in formal, non-formal and informal learning environments including family, school and the community.

Objectives and outputs

The long-term objective of ESP project is to translate our findings into instruments that can be used by education stakeholders. One instrument is a set of policy recommendations, which provides decision-makers with ideas and policy orientations that can be adapted to country specific contexts. Another is a set of toolkits that policy-makers, school administrators and teachers can use to explore ways to identify groups that are at-risk, skills that might be reinforced and concrete action plans to follow. The third instrument is a critical review of existing competency frameworks, which aims at assessing whether or not the conceptual thinking and practices related to key competencies are evidence-based.

Indicators on Skills, Mobility and Job Quality

Purpose

To provide OECD members with a statistical tool for better understanding the relationship between skills mobility and job quality at the local level. This activity is contributing to the OECD Skills Srategy.

Objectives and outputs

LEED has developed a new statistical diagnostic tool to better understand the balance between skills supply and demand at sub-regional level. In 2011-12 this tool is being applied in a broad set of countries, drawing on available data at TL3 level to produce composite indicators of supply and demand. Data is being collected for a number of indicators including qualification levels, productivity, occupational structure, wages and unemployment at sub-regional level and analysed by the Secretariat. The work is an input to the OECD Skills Strategy and the results will be made available at the Skills@OECD website.

Main Developments for 2012

General aspects:

A new methodology to establish benchmarking groups has been developed.

Programme for International Student Assessment (PISA)

Purpose

The Programme for International Student Assessment (PISA) was created by the OECD member countries in 1997 to produce direct assessments of student performance, on a regular basis in an efficient, timely and cost-effective manner; and to provide more relevant and powerful indicators of human capital. PISA produces assessments of reading literacy, mathematical literacy, scientific literacy and a growing range of cross-curricular competencies among 15-year-olds in school.

Objectives and outputs

In 2012, following the release of the initial report of 2009 data in December 2010, there will be further thematic reports produced on learning gains (based on the Canadian PISA cohort study), children of immigrants, private schooling and parental involvement. The results from the 9 additional countries who implemneted PISA 2009 one year later were published in December 2011. In addition, a new product 'PISA in Focus' will be published each month featuring short notes on specific topics including "The gender gap in digital reading", "What makes a country a strong performer in PISA?" and "Gender differences in career expectations."

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Dominican Republic, Ecuador, Egypt, El Salvador, Europe, Georgia, Guatemala, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.

Databases

PISA 2009 international database

Main Developments for 2012

General aspects:

The field trial for PISA 2012 was successfully condicted in 2011, thus preparing for the main study in 2012, which will be conducted among the 67 participating countries and economies. In addition, preparation is already underway for PISA 2015 and the first operational meetings will take place in 2012.

Data collection:

The field trial for the PISA 2012 data collection will be conducted in 2011. As well as data collection in the core subjects of mathematics, reading and science (with mathematics the major domain), there will be data collection from the assessment of problem solving skills (entirely electronic assessment and data collection) and the optional assessment of financial literacy.

Programme for the International Assessment of Adult Competencies (PIAAC)

Purpose

To identify and measure differences between individuals and across countries in key competencies and other economic and social outcomes believed to underpin both personal and societal success; assess their impact on economic and social outcomes; assess the performance of education and training systems in generating the required competencies at the levels required by social and economic demands; and identify key policy levers that lead to enhancing competencies and their effective utilisation.

Objectives and outputs

The objective for 2012 is to complete the data collection and to prepare for the first international report that will be published in 2013.

Non-member countries involved in the activity:

Cyprus, Russian Federation.

Main Developments for 2012

General aspects:

The project will complete the data collection phase and start to create database for the first international report.

Data collection:

It should be completed by March 2012.

Teaching and Learning International Survey (TALIS)

Purpose

To provide data and indicators on the learning environment in schools and about the work environment of teachers, as part of the OECD education indicator work.

Objectives and outputs

The further development of indicators and analysis of teachers, teaching and learning through further analysis of the first round of TALIS (thematic reports on the working experience of new teachers and on teaching practices and innovation) and preparation of a second round, for which data collection is scheduled to take place in 2012 and 2013.

TALIS focusses on the learning environment in schools, sampling teachers and school principals and aims to provide cross-country data, indicators and analysis on factors influencing effective teaching and learning and the working environment of teachers. The focus for the core survey of second round is lower secondary (ISCED Level 2), though countries also have the option to survey elementary (ISCED Level 1) and upper secondary (ISECD Level 3) schools and to perform a school-level linkage with PISA 2012.

Non-member countries involved in the activity:

Brazil, Bulgaria, Croatia, Latvia, Malaysia, Other, Republic of Serbia, Romania, Singapore.

Main Developments for 2012

General aspects:

The first round of TALIS was completed in 2009 with the first results reported in "Creating effective teaching and learning environments: First results from TALIS", published in June 2009. A selection of indicators were also published in Education at a Glance 2009 and in a thematic report by the European Commission "Teachers's professional development".

The work in 2012 will focus on further exploitation of the data from the first round of TALIS, including through the publication of thematic reports on the working experience of new teachers and on teaching practices and innovation in education. The work during 2012 will also focus on the second round of data collection, particularly on the Field Trial in all 33 participating countries as well as the Main Study data collection in the Southern Hemisphere countries.


1.4 Health (OECD)
Health Care Quality Indicators

Purpose

The purpose of the Health Care Quality Indicators (HCQI) Project is to develop a set of indicators that can be used to raise questions regarding quality of care across countries. They have been reported regularly in a chapter in Health at a Glance publication since 2007.

Objectives and outputs

The entire HCQI database was made available at the OECD.Stat for the first time in 2011. The comparability and quality of data were improved and the database was also expanded, covering patient safety indicators.

Non-member countries involved in the activity:

Cyprus, Latvia, Malta, Singapore.

Databases

HCQI Data Collection

Main Developments for 2012

General aspects:

The HCQI Project goals in 2012 are: to review and refine existing quality of care indicators in prepration for the 2012-13 HCQI Data Collection to commence in November 2012; and to undertake data analysis to support research work in relation to the ongoing priorities of the HCQI Project.

The HCQI project is embarking on further development work with respect to indicator improvement and interpretation of cross country variations.

The main focus is on:

• the development of patient safety and patient experience indicators, and
• the inclusion of data from additional countries.

The HCQI project will also expand work in the construction of more direct measures of primary care quality for understanding observed differences and the cross-national analysis of the quality of primary care performance.

Data management:

Development of data collection tool more appropriate for StatWorks.

Health Data

Purpose

To provide policy makers and health researchers with a wide range of statistics on health and health systems to allow comparative analysis of different aspects of the performance of health systems. The database includes data on health status and risk factors to health, health care resources and activities, long-term care resources and activities, pharmaceutical consumption, health expenditure and financing, and health care quality. The data come from four questionnaires: 1) the OECD Health Data questionnaire; 2) the joint OECD/Eurostat/WHO (Europe) questionnaire on non-monetary health care statistics; 3) the joint OECD/Eurostat/WHO health accounts questionnaire; and 4) the OECD Health Care Quality Indicators questionnaire.

Objectives and outputs

Progress was achieved in 2011 in improving the availability and comparability of data on different categories of doctors and nurses that are collected throuth the joint OECD/Eurostat/WHO (Europe) questionnaire. The OECD Secretariat has also shared this joint questionnaire with the WHO Western Pacific Regional Office (WPRO) with a view to encourage the use of the same definition of variables for any data collection in that region to promote greater comparability.

Progress has also been achieved in improving the comparability of data on surgical procedures, based on a proposed new standard methodology to count procedures and a better specification of coverage of health care facilities.

A new edition of "Health at a Glance" was released in November 2011, including a new special chapter on long-term care, and data for large emerging economies where possible.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

OECD Health Data 2012

Main Developments for 2012

General aspects:

Improving the availability and comparability of data on health status (morbidity), health inequalities, health care interventions (surgical procedures), and pharmaceutical consumption.

Working towards the extension of the joint OECD/Eurostat/WHO (Europe) questionnaire on non-monetary health care statistics to include health care activities (in addition to health care resources).

Health Expenditure and Financing

Purpose

To provide policy relevant, comparative data and analysis on health expenditure and financing, and to facilitate harmonisation across national health accounting practices. To provide data sources for research and to make country-specific health accounts data and analysis more widely available.

Objectives and outputs

The sixth Joint OECD, Eurostat and WHO System Health Accounts (SHA) data collection was successfully implemented in 2011. It has improved the availability and comparability of health expenditure data and also contributed to the improvement in health expenditure data published in OECD Health Data. A System of Health Accounts database has been developed as a component of the OECD Statistical Information System. National Health Accounts Experts and others interested in accessing health accounts data can now do so using OECD.Stat and SourceOECD.

Methodological developmental work has continued over recent years on a number of projects: Improving the Comparability and Availability of Private Health Expenditure; Development of Output based Health-Specific Purchasing Power Parities; Estimating Expenditure by Disease, Age and Gender; and Improving Estimates of Imports and Exports of Health Goods and Services.

Since 2006 OECD, EUROSTAT and WHO collaborated to revise the System of Health Accounts methodology. This process was concluded in October 2011 with the publication of the new manual A System of Health Accounts 2011. Pilot studies are currently undertaken to test the implementation of the new manual.

Non-member countries involved in the activity:

Albania, Bosnia and Herzegovina, Brazil, Bulgaria, China, Croatia, Cyprus, India, Indonesia, Latvia, Lithuania, Macedonia, Malta, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Slovenia, South Africa

Databases

OECD Health Expenditure and Financing

Main Developments for 2012

General aspects:

In 2012, the seventh Joint OECD-Eurostat-WHO health accounts (SHA) data collection will take place. Previous improvements to the validation tools used both by the national compilers and the international organisations will continue to provide efficiency gains in the validation exercise and ultimately feed through to improved timeliness in dissemination of the data.

Data collection:

No changes in questionnaire.

Mental Health, Disability and Work

Purpose

In the late 2000s, the OECD Review "Sickness, Disability and Work: Breaking the Barriers" concluded that policy has changed very much in many countries but not enough in most cases; by and large policies remain too passive in nature. The review identified two big questions to be addressed more fervently: First, why so many people take leave of absence or apply for a disability benefit on the grounds of mental illness; and secondly, how people with mental health conditions could be better integrated into the labour market. The new OECD Review "Disability and Work: Challenges for Labour Market Inclusion of People with Mental Illness" aims to address these two questions, by drawing lessons from policies and outcomes in ten member countries (Australia, Austria, Belgium, Denmark, Netherlands, Norway, Sweden, Switzerland, United Kingdom, United States). See www.oecd.org/els/disability.

Objectives and outputs

A data questionnaire was sent to ten member countries (Australia, Austria, Belgium, Denmark, Netherlands, Norway, Sweden, Switzerland, United Kingdom, United States) participating in the new OECD Review "Disability and Work: Challenges for Labour Market Inclusion of People with Mental Illness".

The first report "Sick on the Job? Myths and Realities about Mental Health and Work" was released on 12 December 2011, with a dissemination seminar at the OECD headquarters in Paris. It served as a basis for the next phase of the project which will look in depth into the challenges and policies of selected OECD countries. See www.oecd.org/els/disability.

Main Developments for 2012

General aspects:

Development Preparation of comparative indicators and analysis on the relationship between mental health conditions, work and benefit recipiency; based on data received from ten OECD countries. The reports and the indicators will inform the second phase of the project which aims to provide evidence-based policy conclusions for the countries participating in the project.


1.5 Income and consumption (OECD)
Expert group on Income, Consumption and Wealth

Purpose

Establishing guidelines for the join measurement of income, consumption and wealth at the household level.

Objectives and outputs

To produce two handbooks on methodological guidelines.

Main Developments for 2012

General aspects:

Finalisation of the handbooks.


1.6 Social protection (OECD)
Social Benefit Recipients

Purpose

Detailed data on benefit recipiency in a comparative framework are needed to assess how effective social safety nets are at reaching their objectives.

For instance, they show who benefits from social safety nets, and what share of a targeted population is actually covered. In a longitudinal perspective, these recipiency data help identify the role of safety nets across the economic cycle, and how recipients adjust to changes in programme rules. These questions are essential in the perspective of adapting social systems to future economic and demographic challenges.

Currently, comprehensive data on benefit recipiency is not easily available, and is sometime difficult to obtain even at country level. Furthermore, very little information is usually provided on beneficiary characteristics, almost no information is available on programme entries and exits except in some cases.

The database should ideally cover income replacement benefits and their main supplements paid to the working age population.

Objectives and outputs

In December 2011, a first partial and preliminary version of the database has been made available. The access to the database is restricted to the (OECD and European Commission) people directly involved in the project. In a further step of the project, the database will be made public. This first version includes annual caseloads for 2007 and 2008 and, depending on data availability on each country, the inflows, outflows and the number of recipients broken down by age and gender during the same period.

The main objectives for 2012 are:

• Improve the quality of existent data;
• Use reference time series to compute relevant indicators;
• Gather 2009 and 2010 information and include them in the database.

Non-member countries involved in the activity:

Bulgaria, Cyprus, Latvia, Lithuania, Malta, Romania.

Main Developments for 2012

General aspects:

No major changes regarding the objectives and deliverables.

The questionnaire asking for 2009 and 2010 data, to be sent in 2012, has been improved and simplified with respect to the one sent in 2011.

Data collection:

No major changes are planned.

Social Expenditure

Purpose

The database has been developed to monitor trends in aggregate social expenditure as well as changes in its composition. SOCX includes historical series from 1980 on public and mandatory private social expenditure at programme level classified under the major social policy areas. See www.oecd.org/els/social/expenditure.

Objectives and outputs

Social Expenditure Database: data collection (in co-operation with Eurostat for EU countries) and dissemination on the internet www.oecd.org/els/social/expenditure of expenditure data, programme by programme, grouped in the main expenditure categories, since 1980.

Working Paper #124 "Is the European welfare state really more expensive? Indicators on social spending, 1980-2012 and a manual to the OECD Social Expenditure database (SOCX)" came out in Novermber 2011, including net (after taxes) and voluntary social spending.

Databases

Social expenditures

Main Developments for 2012

General aspects:

No major changes.

Data collection:

Data update every other year. 2008 and 2009 will be collected in first semester of 2012.
We will compute some short term spending projections till 2012 or 2013.



5. Strategic and managerial issues of official statistics (OECD)
1.1 Population and migration (OECD)
International Migration

Purpose

To produce consistent and annual international migration data for OECD member countries and some non-member countries and ensure methodological soundness and comparability of international migration data.

Objectives and outputs

Updating and extending the International Migration Database available via OECD.Stat and publishing an extensive statistical annex in the annual report "International Migration Outlook" (IMO), which contains the most recent available data on migration flows, foreign and immigrant populations, foreign workers, naturalisations and foreign students.

• Producing and improving standardised long-term and temporary inflows series by category and publishing in the IMO and OECD.Stat. Categories for long-term flows include work, family, humanitarian, free circulation; Categories for temporary workers include students, trainees, seasonal workers, working holiday makers, intra-company transfers.

• Updating the Database on Immigrants in OECD Countries (DIOC) for the years 2005/06.

Publication of the OECD SEM Working Paper "Are Recent Immigrants Different? A New Profile of Immigrants in the OECD (DIOC 2005/06)".

• The current version of DIOC-E (release 3.0) covers information on 32 OECD and 68 non-OECD destination countries, including country of birth, sex, educational attainment level, age, labour force status and occupation. Dissemination of DIOC-E (release 3.0) and publication of the OECD Working Paper "International Migrants in Developed, Emerging and Developing Countries: An Extended Profile" (see www.oecd.org/migration/dioc/extended).

Publication "Global Profile of Diasporas. How to better mobilise migrant skills" (forthcoming)

• Collection of thematic indicators of integration of immigrants and their children for a publication.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela.

Databases

Database on Immigrants in OECD Countries (DIOC)
Database on international migration statistics
Standardised migration flows

Main Developments for 2012

General aspects:

Project to disseminate quarterly statistics on labour market outcomes of imigrants.

Develop mechanims to improve and streamline the production of the harmonised statistics.

Release of the update of DIOC 2005/06.

Publication on the indicators of integration of immigrants and their children.

Data collection:

Development of Sicremi network.

Data collection:

In 2012, a new data collection will be launched (DIOC 2010/11) in collaboration with STD. National Institutes for Statistics in OECD countries and other main destination countries will be contacted to update DIOC with population register data and 2010/11 census data.

Data collection:

Development of the dataset with subcategories inside the main work/family/study/humanitarian and others.

Development of the dataset by country of origin and gender.

Data collection:

Project to disseminate these statistics quarterly.

Data collection:

Plan to implement a network of correspondents to collect data on migration in Asia on a regular basis.

Population Projections

Purpose

Maintain a population projections database to achieve transparency in the use of population projections within OECD.

Objectives and outputs

Expanision of the database.

Non-member countries involved in the activity:

Brazil, Bulgaria, China, Cyprus, India, Indonesia, Latvia, Lithuania, Malta, Romania, Russian Federation, South Africa, World.

Databases

MEI SQL

Main Developments for 2012

General aspects:

Update the database with UN revised data for the non-member countries data and national statistical sites for members countries data.


1.2 Labour (OECD)
Annual Labour Force Statistics

Purpose

To provide relevant, reliable annual labour force statistics covering long time series for internal OECD users (in particular, the Economics Department), member country government agencies and other external users in academic institutions and private enterprise.

Objectives and outputs

The main objective is to provide long time series for key annual statistics on population, labour force, employment and unemployment. This database contains annual statistics for OECD member countries comprising: population, total employment, unemployment, civilian employment by sectors, part-time employment, duration of unemployment. Published output also includes participation and unemployment rates by gender and detailed age groups as well as comparative tables for the main components of the labour force.

Data are available for all OECD member countries and for OECD-Total, Euro area and European Union. Time series cover 20 years for most countries. The long time-series for the data presented facilitate identification of structural changes in labour force over time.

Published output are also accompanied by target OECD and ILO international statistical standards (definitions, etc) and summary methodological information (national definitions, coverage, collection, calculation, series breaks, sources) used by individual OECD member countries in the compilation of the statistics published in the ALFS.

Databases

Annual Labour Force Statistics

Main Developments for 2012

Data collection:

Targeted countries slow at responding to the annual questionnaire will be requested to speed up their response.

Infra-annual Labour Force Statistics

Purpose

To provide relevant, reliable key infra-annual labour force statistics such as employment and unemployment (levels, rates) for internal OECD users, member country government agencies and other external users in academic institutions and private enterprise.

Objectives and outputs

The main objective is to provide long time series for key infra-annual labour statistics as well as timely short-term indicators on the labour force such as employment and unemployment. Data are disseminated in the OECD Main Economic Indicators (MEI) database, a monthly press release on harmonised unemployment and on OECD.Stat.

The MEI database contains monthly, quarterly and annual indicators on employment, unemployment, labour compensation and for some countries indicators on vacancies, hours worked, labour disputes, etc.

Data are available for all OECD member countries and for key series (employment, unemployment, hourly earnings) aggregates for OECD-Total, Major seven, OECD-Europe, EU27 and Euro area and for selected non-member countries.

In the MEI series are accompanied by summary metadata outlining key concepts, coverage, etc. Published output are also accompanied by target OECD and ILO international statistical standards (definitions, etc) and summary methodological information (national definitions, coverage, collection, calculation, series breaks, sources) used by individual OECD member countries in data compilation.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

ALFS_POP_VITAL ALFS_POP_LABOUR ALFS_EMP ALFS_SUMTAB

Main Developments for 2012

General aspects:

Quarterly News Release on Employment.

Data collection:

Small number of countries slow at responding to the annual questionnaire will be requested to speed up their response. The collection of further data and metadata for NMEs, in particular, China and India.

Labour Market Statistics

Purpose

To produce a comprehensive set of statistics to monitor labour market developments in OECD countries, while enhancing their international comparability.

To monitor the current jobs crisis and subsequent jobs recovery.

To provide statistical information to undertake labour market analyses and policy formulation to be discussed at international meetings on labour policies.

To provide background information for preparatory work for international statistical guidelines.

Objectives and outputs

Regular collection, production and dissemination of labour statistics on labour market outcomes and performance (i.e. earnings levels, earnings distribution, etc.) and institutional variables (i.e. minimum wages, stock of participants and expenditure on labour market programmes - LMP data, EPL index, trade union membership, collective bargaining coverage, etc.) to serve as an analytical basis for labour market analysis.

Data are used to produce the statistical annex of the Employment Outlook and the internal and external on-line Labour Force Statistics database stored on OECD.Stat (Key Employment Statistics and www.oecd.org/els/employment/data).

Some of the data series are reported in the OECD Main Economic Indicators database (http://stats.oecd.org/index.aspx) and in the OECD Annual Labour Force Statistics publication.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Labour Market Statistics

Main Developments for 2012

General aspects:

The expansion of the LFS database will gain momentum to improve country coverage and comparibility regarding job tenure, hours worked, minimum wages and wage earnings data and to compile data in the area of youth and workforce ageing, broader measures of unemployment, etc.

Time permitting a closer look at statistics to characterise informal employment will be attempted based on existing international guidelines on this subject.

Work underway to consolidate earnings related statistics and to improve their comparability.

Continuation of the assessment of annual working time statistics to improve their international comparability with the aim of publishing of comparable estimates on annual hours actually worked per employed person in the statistical annex of the Employment Outlook.

Continuous migration of data and metadata that are relevant for labour market statistics to OECD.Stat for internal and external web based dissemination.

Data collection:

Given the analytical capacity of working with indiivual records for policy formulation, it is felt important, where possible, to develop the capability for direct access to labour force survey (public use) microdatasets in OECD Member States with a particular focus on non-EU countries.

So far, we have been able to access to labour force survey public use files of 9 OECD countries.

Besides, in the two-year period of 2009-2010, public use files of household survey microdatasets were collected for Brazil, India, Indonesia and South Africa as well as for Mexico and Turkey.

Further exploration on the availability of labour force and income surveys will be pursued in 2011 to include micro-datasets for Chile, the Russian Federation, and other OECD countries.

In 2011, micro-datasets stored currently are expected to be updated.

Data management:

Migration of the remaining parts of Earnings distribution database in 2012.

Unit Labour Costs

Purpose

To maintain and expand the OECD System of Unit Labour Cost and Related Indicators, which brings together a wide range of data sources for all OECD member countries. A set of internationally comparable quarterly unit labour cost (ULC) indexes for eight economic activities (ULC) indexes are produced together with annual series for ULC, Labour productivity, Labour Compensation (including PPP adjusted), Labour Income shares and Exchange rate adjusted ULC.

In addition, early estimates of quarterly ULCs are produced at t+75 (as a target) and disseminated via a media releease.

At the same time, labour compensation statistics are updated an on-going basis every month, as an input to the MEI publications.

The quarterly ULCs provide the inputs to the Economics Department for production of their real effective exchange rates competitiveness indicators.

Objectives and outputs

The key objectives of 2011 were to review the quality and comparability of established production system. Early estimates of quarterly (EEQ) ULCs were developed which improve the timeliness, comparability with those produced by ECB, and analytical capacity of the existing ULCs. The EEQ ULCs are compiled indirect method which means that seasonally adjusted (SA) ULCs are compiled from SA compenent series collected from NSOs as much as possible. At the same time, ULC media release is revised. In addition, annual data was prepared for publication in the OECD Factbook. Joint ULC project between STD and ECB was continued.

Non-member countries involved in the activity:

Brazil, Bulgaria, China, Cyprus, Lithuania, Malta, Russian Federation, South Africa.

Main Developments for 2012

General aspects:

Major tasks in 2012 will be integrate estimates of ULC within the Productivity database. Early ULC estimates for Total economy will continue being updated with continued co-operation from ECB. At the same time, compilation of new ULCs for G20 countries will be pursued.

Data collection:

Major task will be the incorporation of the very large number of new series into the on-going MEI data collection processes.


1.3 Education (OECD)
AHELO (Assesment of Higher Education Learning Outcomes) Feasibility Study

Purpose

The purpose of the AHELO feasibility study is to assess whether it is possible to measure what undergraduate degree students know and can do at the international level, in order to provide better information to higher education institutions, governments and other stakeholders, including students and employers. This will entail an evaluation of the scientific feasibility of undertaking an international assessment of higher education learning outcomes (in generic and subject-specific skills) at the end of a Bachelor's degree programme, as well as gauging the feasibility of its practical implementation.

Objectives and outputs

In 2011, assessment instruments have been developed, translated, adapted and pilot-tested in all 3 strands of work (generic skills, economics and engineering) in participating countries. Likewise, context survey instruments have been developed, translated, adapted and pilot-tested.

Non-member countries involved in the activity:

Colombia, Egypt, Other, Russian Federation.

Main Developments for 2012

General aspects:

Work in 2012 will involve:

• The international implementation of instruments in participating countries and institutions;
• The analysis of the data collected;
• The preparation of the final report;
• Its discussion at a final conference of the feasibility study to be held on 10-11 December in the Netherlands.

Education (INES activities)

Purpose

To produce and publish indicators and analysis on the operation, evolution and impact of education, from early childhood through formal education to learning and training throughout life. The collected data cover the outputs of educational institutions, the policy levers that shape educational outputs, the human and financial resources invested in education, structural characteristics of education systems, and the economic and social outcomes of education.

Objectives and outputs

Production of indicators on the financing of education, participation in and graduation from education. Indicators on educational attainment of the adult population and associated labour market outcomes, teacher salaries and work conditions, and instruction time are provided by INES Networks LSO (Labour Market, Economic and Social Outcomes of Learnong) and NESLI (Collection and Adjudication of System-level descriptive Information on Educational Structures, Policies and Practices).

The main publication is "Education at a Glance".

Main achievements in 2011 include the consolidation of the technical documentation of the education data collection, the development of indicators on the net present value of education, the relative earnings according to the level of educational attainment and the social outcomes of education as well as on how efficiently are resources used in education, on how do education systems monitor school performance. It also includes PISA 2009 results, the new indicators on school accountability, upper secondary and tertiary studies by field of education, upper secondary completion rates and the development of trend data on access and graduation to education and on financial aid to students. Ongoing methodological work includes: students' mobility and graduation comparability study, conceptual framework for the measurement of knowledge and skills, development of efficiency measures, consolidation of tertiary indicators and improvement of the quality of ISCED implementation.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Russian Federation.

Databases

Education database

Main Developments for 2012

General aspects:

Education database will benefit from the OECD.Stat and MetaStore developments. Trend data will be reviewed. Data and indicator development will include improving the quality and relevance of the tertiary indicators on entry, graduation, tuition fees and student mobility, further developing the indicators on educational efficiency and on upper secondary completion rates . A programme of work will also continue to review comparability issues with the international education classification (ISCED) and to develop solutions to tackle these.

Data collection:

New quality and timeliness standards for data collection and indicator compilation will be introduced.

Inclusion of a new questionnaire on non-teaching staff.

Data management:

None.

Education and Social Progress

Purpose

Education and Social Progress (ESP) project will:

• Analyse the role cognitive and non-cognitive skills play in fostering measures of well-being and social progress in OECD countries; and
• Identify how skills that matter can be better developed in formal, non-formal and informal learning environments including family, school and the community.

Objectives and outputs

The long-term objective of ESP project is to translate our findings into instruments that can be used by education stakeholders. One instrument is a set of policy recommendations, which provides decision-makers with ideas and policy orientations that can be adapted to country specific contexts. Another is a set of toolkits that policy-makers, school administrators and teachers can use to explore ways to identify groups that are at-risk, skills that might be reinforced and concrete action plans to follow. The third instrument is a critical review of existing competency frameworks, which aims at assessing whether or not the conceptual thinking and practices related to key competencies are evidence-based.

Indicators on Skills, Mobility and Job Quality

Purpose

To provide OECD members with a statistical tool for better understanding the relationship between skills mobility and job quality at the local level. This activity is contributing to the OECD Skills Srategy.

Objectives and outputs

LEED has developed a new statistical diagnostic tool to better understand the balance between skills supply and demand at sub-regional level. In 2011-12 this tool is being applied in a broad set of countries, drawing on available data at TL3 level to produce composite indicators of supply and demand. Data is being collected for a number of indicators including qualification levels, productivity, occupational structure, wages and unemployment at sub-regional level and analysed by the Secretariat. The work is an input to the OECD Skills Strategy and the results will be made available at the Skills@OECD website.

Main Developments for 2012

General aspects:

A new methodology to establish benchmarking groups has been developed.

Programme for International Student Assessment (PISA)

Purpose

The Programme for International Student Assessment (PISA) was created by the OECD member countries in 1997 to produce direct assessments of student performance, on a regular basis in an efficient, timely and cost-effective manner; and to provide more relevant and powerful indicators of human capital. PISA produces assessments of reading literacy, mathematical literacy, scientific literacy and a growing range of cross-curricular competencies among 15-year-olds in school.

Objectives and outputs

In 2012, following the release of the initial report of 2009 data in December 2010, there will be further thematic reports produced on learning gains (based on the Canadian PISA cohort study), children of immigrants, private schooling and parental involvement. The results from the 9 additional countries who implemneted PISA 2009 one year later were published in December 2011. In addition, a new product 'PISA in Focus' will be published each month featuring short notes on specific topics including "The gender gap in digital reading", "What makes a country a strong performer in PISA?" and "Gender differences in career expectations."

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Dominican Republic, Ecuador, Egypt, El Salvador, Europe, Georgia, Guatemala, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.

Databases

PISA 2009 international database

Main Developments for 2012

General aspects:

The field trial for PISA 2012 was successfully condicted in 2011, thus preparing for the main study in 2012, which will be conducted among the 67 participating countries and economies. In addition, preparation is already underway for PISA 2015 and the first operational meetings will take place in 2012.

Data collection:

The field trial for the PISA 2012 data collection will be conducted in 2011. As well as data collection in the core subjects of mathematics, reading and science (with mathematics the major domain), there will be data collection from the assessment of problem solving skills (entirely electronic assessment and data collection) and the optional assessment of financial literacy.

Programme for the International Assessment of Adult Competencies (PIAAC)

Purpose

To identify and measure differences between individuals and across countries in key competencies and other economic and social outcomes believed to underpin both personal and societal success; assess their impact on economic and social outcomes; assess the performance of education and training systems in generating the required competencies at the levels required by social and economic demands; and identify key policy levers that lead to enhancing competencies and their effective utilisation.

Objectives and outputs

The objective for 2012 is to complete the data collection and to prepare for the first international report that will be published in 2013.

Non-member countries involved in the activity:

Cyprus, Russian Federation.

Main Developments for 2012

General aspects:

The project will complete the data collection phase and start to create database for the first international report.

Data collection:

It should be completed by March 2012.

Teaching and Learning International Survey (TALIS)

Purpose

To provide data and indicators on the learning environment in schools and about the work environment of teachers, as part of the OECD education indicator work.

Objectives and outputs

The further development of indicators and analysis of teachers, teaching and learning through further analysis of the first round of TALIS (thematic reports on the working experience of new teachers and on teaching practices and innovation) and preparation of a second round, for which data collection is scheduled to take place in 2012 and 2013.

TALIS focusses on the learning environment in schools, sampling teachers and school principals and aims to provide cross-country data, indicators and analysis on factors influencing effective teaching and learning and the working environment of teachers. The focus for the core survey of second round is lower secondary (ISCED Level 2), though countries also have the option to survey elementary (ISCED Level 1) and upper secondary (ISECD Level 3) schools and to perform a school-level linkage with PISA 2012.

Non-member countries involved in the activity:

Brazil, Bulgaria, Croatia, Latvia, Malaysia, Other, Republic of Serbia, Romania, Singapore.

Main Developments for 2012

General aspects:

The first round of TALIS was completed in 2009 with the first results reported in "Creating effective teaching and learning environments: First results from TALIS", published in June 2009. A selection of indicators were also published in Education at a Glance 2009 and in a thematic report by the European Commission "Teachers's professional development".

The work in 2012 will focus on further exploitation of the data from the first round of TALIS, including through the publication of thematic reports on the working experience of new teachers and on teaching practices and innovation in education. The work during 2012 will also focus on the second round of data collection, particularly on the Field Trial in all 33 participating countries as well as the Main Study data collection in the Southern Hemisphere countries.


1.4 Health (OECD)
Health Care Quality Indicators

Purpose

The purpose of the Health Care Quality Indicators (HCQI) Project is to develop a set of indicators that can be used to raise questions regarding quality of care across countries. They have been reported regularly in a chapter in Health at a Glance publication since 2007.

Objectives and outputs

The entire HCQI database was made available at the OECD.Stat for the first time in 2011. The comparability and quality of data were improved and the database was also expanded, covering patient safety indicators.

Non-member countries involved in the activity:

Cyprus, Latvia, Malta, Singapore.

Databases

HCQI Data Collection

Main Developments for 2012

General aspects:

The HCQI Project goals in 2012 are: to review and refine existing quality of care indicators in prepration for the 2012-13 HCQI Data Collection to commence in November 2012; and to undertake data analysis to support research work in relation to the ongoing priorities of the HCQI Project.

The HCQI project is embarking on further development work with respect to indicator improvement and interpretation of cross country variations.

The main focus is on:

• the development of patient safety and patient experience indicators, and
• the inclusion of data from additional countries.

The HCQI project will also expand work in the construction of more direct measures of primary care quality for understanding observed differences and the cross-national analysis of the quality of primary care performance.

Data management:

Development of data collection tool more appropriate for StatWorks.

Health Data

Purpose

To provide policy makers and health researchers with a wide range of statistics on health and health systems to allow comparative analysis of different aspects of the performance of health systems. The database includes data on health status and risk factors to health, health care resources and activities, long-term care resources and activities, pharmaceutical consumption, health expenditure and financing, and health care quality. The data come from four questionnaires: 1) the OECD Health Data questionnaire; 2) the joint OECD/Eurostat/WHO (Europe) questionnaire on non-monetary health care statistics; 3) the joint OECD/Eurostat/WHO health accounts questionnaire; and 4) the OECD Health Care Quality Indicators questionnaire.

Objectives and outputs

Progress was achieved in 2011 in improving the availability and comparability of data on different categories of doctors and nurses that are collected throuth the joint OECD/Eurostat/WHO (Europe) questionnaire. The OECD Secretariat has also shared this joint questionnaire with the WHO Western Pacific Regional Office (WPRO) with a view to encourage the use of the same definition of variables for any data collection in that region to promote greater comparability.

Progress has also been achieved in improving the comparability of data on surgical procedures, based on a proposed new standard methodology to count procedures and a better specification of coverage of health care facilities.

A new edition of "Health at a Glance" was released in November 2011, including a new special chapter on long-term care, and data for large emerging economies where possible.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

OECD Health Data 2012

Main Developments for 2012

General aspects:

Improving the availability and comparability of data on health status (morbidity), health inequalities, health care interventions (surgical procedures), and pharmaceutical consumption.

Working towards the extension of the joint OECD/Eurostat/WHO (Europe) questionnaire on non-monetary health care statistics to include health care activities (in addition to health care resources).

Health Expenditure and Financing

Purpose

To provide policy relevant, comparative data and analysis on health expenditure and financing, and to facilitate harmonisation across national health accounting practices. To provide data sources for research and to make country-specific health accounts data and analysis more widely available.

Objectives and outputs

The sixth Joint OECD, Eurostat and WHO System Health Accounts (SHA) data collection was successfully implemented in 2011. It has improved the availability and comparability of health expenditure data and also contributed to the improvement in health expenditure data published in OECD Health Data. A System of Health Accounts database has been developed as a component of the OECD Statistical Information System. National Health Accounts Experts and others interested in accessing health accounts data can now do so using OECD.Stat and SourceOECD.

Methodological developmental work has continued over recent years on a number of projects: Improving the Comparability and Availability of Private Health Expenditure; Development of Output based Health-Specific Purchasing Power Parities; Estimating Expenditure by Disease, Age and Gender; and Improving Estimates of Imports and Exports of Health Goods and Services.

Since 2006 OECD, EUROSTAT and WHO collaborated to revise the System of Health Accounts methodology. This process was concluded in October 2011 with the publication of the new manual A System of Health Accounts 2011. Pilot studies are currently undertaken to test the implementation of the new manual.

Non-member countries involved in the activity:

Albania, Bosnia and Herzegovina, Brazil, Bulgaria, China, Croatia, Cyprus, India, Indonesia, Latvia, Lithuania, Macedonia, Malta, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Slovenia, South Africa

Databases

OECD Health Expenditure and Financing

Main Developments for 2012

General aspects:

In 2012, the seventh Joint OECD-Eurostat-WHO health accounts (SHA) data collection will take place. Previous improvements to the validation tools used both by the national compilers and the international organisations will continue to provide efficiency gains in the validation exercise and ultimately feed through to improved timeliness in dissemination of the data.

Data collection:

No changes in questionnaire.

Mental Health, Disability and Work

Purpose

In the late 2000s, the OECD Review "Sickness, Disability and Work: Breaking the Barriers" concluded that policy has changed very much in many countries but not enough in most cases; by and large policies remain too passive in nature. The review identified two big questions to be addressed more fervently: First, why so many people take leave of absence or apply for a disability benefit on the grounds of mental illness; and secondly, how people with mental health conditions could be better integrated into the labour market. The new OECD Review "Disability and Work: Challenges for Labour Market Inclusion of People with Mental Illness" aims to address these two questions, by drawing lessons from policies and outcomes in ten member countries (Australia, Austria, Belgium, Denmark, Netherlands, Norway, Sweden, Switzerland, United Kingdom, United States). See www.oecd.org/els/disability.

Objectives and outputs

A data questionnaire was sent to ten member countries (Australia, Austria, Belgium, Denmark, Netherlands, Norway, Sweden, Switzerland, United Kingdom, United States) participating in the new OECD Review "Disability and Work: Challenges for Labour Market Inclusion of People with Mental Illness".

The first report "Sick on the Job? Myths and Realities about Mental Health and Work" was released on 12 December 2011, with a dissemination seminar at the OECD headquarters in Paris. It served as a basis for the next phase of the project which will look in depth into the challenges and policies of selected OECD countries. See www.oecd.org/els/disability.

Main Developments for 2012

General aspects:

Development Preparation of comparative indicators and analysis on the relationship between mental health conditions, work and benefit recipiency; based on data received from ten OECD countries. The reports and the indicators will inform the second phase of the project which aims to provide evidence-based policy conclusions for the countries participating in the project.


1.5 Income and consumption (OECD)
Expert group on Income, Consumption and Wealth

Purpose

Establishing guidelines for the join measurement of income, consumption and wealth at the household level.

Objectives and outputs

To produce two handbooks on methodological guidelines.

Main Developments for 2012

General aspects:

Finalisation of the handbooks.


1.6 Social protection (OECD)
Social Benefit Recipients

Purpose

Detailed data on benefit recipiency in a comparative framework are needed to assess how effective social safety nets are at reaching their objectives.

For instance, they show who benefits from social safety nets, and what share of a targeted population is actually covered. In a longitudinal perspective, these recipiency data help identify the role of safety nets across the economic cycle, and how recipients adjust to changes in programme rules. These questions are essential in the perspective of adapting social systems to future economic and demographic challenges.

Currently, comprehensive data on benefit recipiency is not easily available, and is sometime difficult to obtain even at country level. Furthermore, very little information is usually provided on beneficiary characteristics, almost no information is available on programme entries and exits except in some cases.

The database should ideally cover income replacement benefits and their main supplements paid to the working age population.

Objectives and outputs

In December 2011, a first partial and preliminary version of the database has been made available. The access to the database is restricted to the (OECD and European Commission) people directly involved in the project. In a further step of the project, the database will be made public. This first version includes annual caseloads for 2007 and 2008 and, depending on data availability on each country, the inflows, outflows and the number of recipients broken down by age and gender during the same period.

The main objectives for 2012 are:

• Improve the quality of existent data;
• Use reference time series to compute relevant indicators;
• Gather 2009 and 2010 information and include them in the database.

Non-member countries involved in the activity:

Bulgaria, Cyprus, Latvia, Lithuania, Malta, Romania.

Main Developments for 2012

General aspects:

No major changes regarding the objectives and deliverables.

The questionnaire asking for 2009 and 2010 data, to be sent in 2012, has been improved and simplified with respect to the one sent in 2011.

Data collection:

No major changes are planned.

Social Expenditure

Purpose

The database has been developed to monitor trends in aggregate social expenditure as well as changes in its composition. SOCX includes historical series from 1980 on public and mandatory private social expenditure at programme level classified under the major social policy areas. See www.oecd.org/els/social/expenditure.

Objectives and outputs

Social Expenditure Database: data collection (in co-operation with Eurostat for EU countries) and dissemination on the internet www.oecd.org/els/social/expenditure of expenditure data, programme by programme, grouped in the main expenditure categories, since 1980.

Working Paper #124 "Is the European welfare state really more expensive? Indicators on social spending, 1980-2012 and a manual to the OECD Social Expenditure database (SOCX)" came out in Novermber 2011, including net (after taxes) and voluntary social spending.

Databases

Social expenditures

Main Developments for 2012

General aspects:

No major changes.

Data collection:

Data update every other year. 2008 and 2009 will be collected in first semester of 2012.
We will compute some short term spending projections till 2012 or 2013.




2. Economic Statistics (OECD)
1. Demographic and social statistics (OECD)
2.1 Macroeconomic statistics (OECD)
STAN Database for Industrial Analysis

Purpose

To provide a comprehensive database tool for cross-country analyses of industrial performance (competitiveness, productivity etc.) and structural change at a relatively detailed level of activity.

Objectives and outputs

The STAN database for industrial analysis provides analysts and researchers with a comprehensive tool for analysing industrial performance at a relatively detailed level of activity across countries. It includes annual measures of output, labour input, investment and international trade which allow users to construct a wide range of indicators to focus on areas such as productivity growth, competitiveness and general structural change. The industry list provides sufficient detail to enable users to highlight high-technology sectors and is compatible with those used in related OECD databases.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

STAN Database for industrial Analysis

Main Developments for 2012

General aspects:

Development and production of a new version of STAN based on ISIC Rev. 4. with statistics to 2010. Inclusion of non-Member countries, where possible. Closer cooperation with EU KLEMS project in particular and World KLEMS project in general. Comprehensive STAN documentation in form of STI Working Paper.

Business Tendency and Consumer Opinion Surveys

Purpose

To collect and disseminate business tendency and consumer opinion survey data for OECD member countries and selected non-member economies. To promote wider use of business tendency and consumer opinion surveys in OECD member countries and selected non-member economies.

To develop international statistical standards and to encourage scientific research in this field of statistics.

Objectives and outputs

This activity involves the ongoing collection and publication of an extensive range of business tendency and consumer opinion survey data and related metadata from OECD member countries and the BRIICS.

The survey data are published in the OECD's monthly Main Economic Indicators (MEI). Data collection is co-ordinated with the European Commission, with the OECD taking primary responsibility for data collection from national sources only for non-EU OECD member countries and the BRIICS.

During the year 2010 the OECD evaluated the possibility to renew its existing international guidelines and recommendations. In co-operation with UNSD, the European Commission and CIRET it surveyed current availability of tendency sureveys internationally and the level of harmonization and adherence to existing guidelines. For 2011 the OECD will start the review of its Business Tendency Surveys handbook last revised in 2003.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

MEI_BTS_COS

Main Developments for 2012

General aspects:

A review of the code structure in the production database, and a consequent update of production flows.

Composite Leading Indicators

Purpose

To compile and disseminate the OECD composite leading indicators for OECD member countries and for the BRICS NMEs + Indonesia, which help analysts to assess the cyclical phase of the OECD economies and forecast its future development.

To do methodological development work and carry out scientific research in this field.

Objectives and outputs

OECD Composite Leading Indicators (CLI) are published in the monthly Main Economic Indicators publication and in a monthly press release.

The quality of existing CLIs is monitored and enhanced on an on-going basis, including the expansion of country coverage for both OECD member and non-member countries, and the development of new tools in the research software for cyclical analysis and composite indicators.

Main achievements in 2010 were the finalization of a distributable package of the production system (CACISd), setting up the dissemnination website in Clearspace, with the goal of reinforcing transparency.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

MEI_CLI

Main Developments for 2012

General aspects:

Update CLIs for selected OECD member countries.

A pilot project testing the multivariate direct filter approach for CLI caluclation in co-operation with prof. Marc Wildi.

Changing the reference series at the core of the CLI from IIP to GDP.

Data collection:

Inclusion of additional series required for the compilation of CLIs for Brazil, China, India, Russian Federation and South Africa and for OECD member as a result of on-going review of CLI component series for each country.

Data management:

Incorporation of more detailed metadata on CLI compilation methodology in MetaStore.

Main Economic Indicators

Purpose

The OECD's Main Economic Indicator (MEI) database provides a wide range of short-term economic indicators (and associated methodological information) for OECD member and non-countries to meet the on-going requirements of a number of internal OECD users.

Objectives and outputs

Maintaining the Main Economic Indicators (MEI) database, which contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member and for all Enhanced Engagement economies on a wide variety of economic indicators for use by economic analysts, policy makers and business.

Indicators in the MEI database include: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.

There is an on-going process of review to revise the contents of the database in order to maximise the relevance of the database for short-term economic analysis, for example, through the inclusion of new indicators reflecting new areas of analysis and policy making. Enlarging coverage also entails working with other international organisations such as IMF, ILO, ECB and Eurostat in the development of effective international standards for the presentation of statistical methodological information (metadata), and increasing the coverage and quality of statistical metadata, whilst at the same time minimising the reporting burden of member countries.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

Main Economic Indicators (MEI)

Main Developments for 2012

General aspects:

The ongoing implementation of a MEI Review undertaken in 2010 at the request of the Director.

Data collection:

On-going processes to improve the efficiency and timeliness of data capture processes.

There will also be expanded use of data from Eurostats NewCronos database and the IMF's IFS. Greater efforts will also be made to implement data and metadata exchange standards developed under the SDMX initiative.

Real-time and Revisions Database

Purpose

To make freely available on the OECD website a "real-time" database with associated revisions analysis of key short-term economic statistics derived from historically published monthly snapshots of the OECD Main Economic Indicators database.

Objectives and outputs

The concept of a real time database is to provide an information set of short-term economic statistics that would have been available to analysts at a specific point in time for the purpose of testing the likely effectiveness of econometric models in real-time. It also provides the opportunity to perform revisions analysis - i.e. to study the magnitude and direction of subsequent revisions to published statistics. A database containing MEI vintage from 1999 was developed and published on the OECD website in 2006.

The portal also provides a broader context on the issue of revisions. This primarily take the form of the revisions framework (outlining the reasons for data revision) formulated by the IMF and of the recommendations published in the OECD "Data and Metadata Reporting and Presentation Handbook".

Updated revisions analysis of GDP and a comparision of revisions between seasonally adjusted and raw series were performed in 2007 and presented at the STESWP and National Accounts working parties, and also at a number of international conferences where the database was also promoted.

Main Developments for 2012

General aspects:

No major changes.

Short-Term Financial and Real Indicators

Purpose

To capture in quantitative terms an important but heterogeneous and fast evolving area in globalisation of the financial markets and increased sophistication of the actors and activities in these markets.

To provide short-term economic indicators of production, sales, orders, work started and in progress and stocks for OECD member countries and selected large emerging non-member economies.

Objectives and outputs

The Financial Indicators dataset contains financial statistics on six separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, Reserve Assets, International Trade, and Share Prices. In all cases considerable effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series' data to aid with analysis.

All the subjects under Real Indicators are classified under the following six top headings: Production, Sales, Orders, Work started, Work in progress, Stocks. Within each heading, indicators are further classified according to economic activities.

Non-member countries involved in the activity:

Brazil, China, Indonesia, Russian Federation, South Africa.

Databases

MEI_FIN


2.2 Economic accounts (OECD)
Institutional Investors' assets

Purpose

This data collection integrated in the framework of the SNA covers detailed assets (including a breakdown of resident/non resident data) for a number of institutional investors (more detailed than in the SNA93). Its aim is to have more detailed information on the activities of the institutional investors (not covered by the SNA) in OECD Member countries.

An additional questionnaire is sent yearly to OECD countries in parallel with the OECD/Eurostat joint questionnaire on Financial Accounts.

Objectives and outputs

The database has been updated up to 2010, for all OECD countries and Russia.

Improvements in the coverage of the database have been achieved.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Institutional Investors' assets

Main Developments for 2012

General aspects:

Update and continuous improvement of the coverage, including an extension to non-member countries (EE5 and other G20).

Depending on resources allocated to the unit, quarterly data will be processed when available and used to calculate indicators.

Data collection:

Improvement of the coverage of the database.
Depending on available resources, quarterly data will be processed.

Data management:

The methodological information currently available in WORD documents might be stored in Metastore using links to these documents, when resources permit.

Human Capital Accounts

Purpose

To develop an agreed methodology for producing monetary estimates of Human Capital for the purposes of international and inter-temporal comparisons.

Objectives and outputs

A working paper that summarises the outcomes of the first phase of the project was released in October 2011 (OECD STATISTICS WORKING PAPER SERIES No. 41).

Non-member countries involved in the activity:

Romania, Russian Federation.

Main Developments for 2012

General aspects:

1. Preparing an in-depth review of country practices in human capital measurement. This review is undertaken under the auspices of the UNECE Conference of European Statisticians (CES) and is being chaired by Geoff Bascand, Statistics New Zealand; as part of this review, we plan to circulate a 'country questionnaire' to document country practices and initiatives.

2. Documenting the OECD methodology and data sources in a technical report.

3. Drafting a working paper based on joint work with the World Bank on national wealth accounting by using direct estimates of human cpaital generated from the OECD project.

4. If available, extending the methodology to additional countries and years.

Annual Financial Accounts

Purpose

To provide unique data sets of harmonised data on annual financial accounts and annual financial balance sheets of OECD countries, according to SNA 1993, to analysts and policy makers.

Objectives and outputs

This activity mainly focuses on the collection of comparable quantitative and qualitative information on annual financial transactions carried out and on annual financial stocks held by institutional sectors of the economy in the OECD member countries.

The main objectives are to improve the quantity and the quality of information on OECD financial accounts (transmission of timely, reliable and consistent data) and to disseminate comparable tables on financial accounts (transactions) and financial balance sheets (stocks).

Russia and EE5 countries' data will be included in the databases when available.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Annual Financial Accounts (ANA)

Main Developments for 2012

General aspects:

The database on annual Financial Accounts and Financial Balance Sheets will continue to be improved. All OECD countries are now covered. For some countries however, the sectoral coverage has still to be extended while for some countries, additional datasets (flows or stocks, consolidated or non-consolidated) will continue to be required.

Data for Russia, for the EE5 countries, and for additional G20 countries (Argentina and Saudi Arabia) will be included when available.

Detailed methodological information relating to Financial accounts and Financial balance sheets should be updated and included in Metastore.

Data collection:

Historical data will be added to the database as soon as countries send them. Data which are still missing for some Member countries will continue to be requested and included in the databases.

Data for Russia will be integrated (if provided) in the OECD databases; depending on resources, data for some non-Member countries (EE5 and G20) will be asked and processed according to their availablity.

Moreover, following conclusions of the 2009 and 2010 WPFS meetings, financial indicators based on financial accounts and balance sheets, and on the two other SNA-related database (on Households and Institutional investors) will be calculted and disseminated.

Data management:

Financial indicators based on these datasets are calculated and are the object of another activity: OECD Financial Indicators.

A new database system now hosts quarterly data: see the new activity Quarterly Sector Accounts (Financial part).

Annual National Accounts

Purpose

To provide, on an internationally comparable basis, a timely update of annual national accounts data to internal and external users for analytical purposes.

To provide a forum of international exchange on national accounts standards, in order to improve the relevance of SNA 93 and enhance international comparability.

Objectives and outputs

The annual national accounts database (SNA) presents a consistent set of data mainly compiled on the basis of the 1993 System of National Accounts. It contains data from 1970 whenever possible for OECD member countries.

Main series of the SNA database are presented using an "indicator" approcah in the publication National accounts at a Glance, focusing on cross-country comparisons. In this publication each indicator is associated to a text which explains in general terms of what is measured and why.

Non-member countries involved in the activity:

China, India, Indonesia, Russian Federation, South Africa.

Databases

Annual National Accounts (ANA)

Main Developments for 2012

General aspects:

Extend the collection of data from EE countries to Brazil.

Economics Department Analytical Data Base (ADB)

Purpose

Management, co-ordination and provision of statistical data sets in support of Economics Department work described under Theme 1 (Economic Growth, Stability and Structural Adjustment). Primarily as input to the Economic Outlook assessment process, ensure timely and consistent updating of the body of largely macroeconomic statistics and calculation of subsidiary concepts necessary for corresponding analytical activities. Checking methodological soundness and consistency of data definitions against the analytical needs of the Department and in particular Country Desks. Development and maintenance of related programmes, definitions and procedures and associated metadata systems in support of analytical users.

Objectives and outputs

Maintains relevant Analytical Data Bank in support of relevant needs of ECO's macro analytical work, notably with respect to the data needs of the OECD Economic Outlook. In conjunction with STD and other statistical groups, co-ordinates, manages and extracts the relevant annual and quarterly data sets from available sources within the OECD (mostly STD), National Administrations and related publications. The primary database covers a range of statistical concepts relevant, in particular, to the assessment of the world's economic situation and developments in member country economies. These include a wide range of national accounts, wage, price and labour force, fiscal and financial accounts, exchange rates, international trade and balance of payments concepts reported on a variety of frequencies. Basic definitions and requirements are those of the economists in the Policy and Country Studies branches. The relevant statistics are used routinely in the analysis incorporated in documents for the Economic Policy and Economic Development Review Committees and are reported as supporting material in the corresponding OECD publications - the twice yearly OECD Economic Outlook and the OECD Country Survey series. The Economic Outlook data set is also disseminated as an OECD data product.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Economics Department Analytical Database

Main Developments for 2012

General aspects:

Main changes in content relate to the progressive inclusion of relevant statistics for the Accession and Enhanced Engagement countries over the coming year. New indicarors to help monitoring analysis will be introduced. Main technical changes in the past and coming year relate to the continuing migration to the ADB to ECO's time series data management system, incorporating direct links to in-house source data bases and the MetaStore system, the integration of Economic Outlook publications data base within the OECD.Stat system and the incorporation of relevant production metadata within MetaStore for internal and external use.

Data management:

Development of metadata link based HELP system within data management system, revisions to control and access rights for users outside of ECO.

General Government National Accounts

Purpose

To provide, on an internationally comparable basis, a timely update of annual national accounts data for the sector of general government and sub-sectors to internal and external users. This covers detailed revenues and detailed expenditures by function of general government and subsectors.

Objectives and outputs

The project on general government national accounts began in September 2003. There are three objectives of the project: (1) improve the transmission to and dissemination by the OECD of timely and detailed data on general government; (2) enhance the comparability of the major aggregate results for general government such as general government deficit/surplus and/or general government debt.

Data are made available to member country government agencies on OLISnet thanks to OECD.Stat and to the public through dissemination in OECD.Stat and tables freely available on Internet.

Non-member countries involved in the activity:

Russian Federation, Slovenia.

Databases

ANA - SNA
Annual National Accounts (ANA)

Main Developments for 2012

General aspects:

Extention the collection of data for EE countries, in particular for Brazil, India.

Household Assets and Liabilities

Purpose

This data collection aims at better knowing the households' behavior vis-à-vis risks and enables studies on the distribution of households' wealth. It refers to the SNA sector S14 - Households.

An additional questionnaire is sent yearly to OECD countries in parallel with the OECD/Eurostat joint questionnaire on Financial Accounts.

Objectives and outputs

The database has been updated up to 2010 for all OECD countries.

A better coverage of financial and non-financial assets and on detailed liabilities currently transmitted by OECD countries has been achieved.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Household Assets and Liabilities

Main Developments for 2012

General aspects:

It is expected to further improve the coverage (assets and liabilities) of the database and to extend the geographical coverage to non-member countries (Russia, EE5 and G20).

When resources permit, quarterly data will be processed and used to calculate financial indicators.

Data collection:

Improvement of the coverage of the database.
Depending on resources allocated to the unit, quarterly data will be processed.

Data management:

The methodological information currently available in WORD documents might be stored in Metastore using links to these documents, when resources permit.

National Accounts for Non-member Economies

Purpose

To cooperate with non-member countries not included in the Quarterly National Accounts database and incorporate these countries into the standard OECD MEI data collection and dissemination program.

Objectives and outputs

Provide users with non-member national accounts data.

Non-member countries involved in the activity:

China, India.

Databases

National accounts and prices for non-member countries

Main Developments for 2012

General aspects:

To remove these countries once they are incorporated into the QNA database. Only Two countries remain: China and India. This activity will finish in 2012.

OECD Financial Dashboard

Purpose

The recent financial and economic crises have underlined the importance of monitoring financial activity and position of the various institutional sectors of national economies.

The OECD Financial Dashboard has been created to respond to users' questions and needs for relevant indicators based on timely, frequent and comparable financial statistics.

Objectives and outputs

The financial indicators are constructed from financial accounts and from financial balance sheets to analyse the behaviour and performance of the various institutional sectors and to carry out cross-country comparisons.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

OECD Financial Dashboard

Main Developments for 2012

General aspects:

New activity.

Data collection:

New activity.

Data management:

New activity.

Productivity/Capital Services

Purpose

Four OECD Directorates have co-operated to produce a data set for productivity measures, a widely-used indicator of economic performance. The purpose of this activity is to bring together, in one place, the results of this work and make available various productivity measures as well as relevant methodological information such as the OECD Manual on Measuring Capital. The series on capital services, multi-factor productivity (MFP) and GDP per hour worked are a standard input into the Economic Department's estimate of potential output. In 2011, the OECD Productivity database by industry has been released and provides regularly updated productivity estimates by industry.

Objectives and outputs

Labour productivity indices for 30 countries and a set of capital services and multi-factor productivity measures for 20 countries are regularly updated and are available on OECD.Stat. Recent methodological developments concerned both the development and the release of multi-factor productivity estimates by industry in the OECD STAN STructural ANalysis Database and research on total economy productivity measures. A major achievement in 2011 was the publication of the OECD Productivity database by Industry (PDBi). PDBi data are updated on a regular basis and allow international comparisons in industry-level MFP measures and are fully compatible with data compiled in the STAN database.

Databases

Productivity by industry
Productivity/capital services database

Main Developments for 2012

General aspects:

In 2012, the productivity database at the whole economy level and the productivity database by industry will continue to be updated regularly with the aim to increase the number of available countries. Methodological developments will concern productivity indicators at the total economy level and productivity estimates by industry.

The Productivity database by industry will move to ISIC Rev.4.

Data management:

Productivity by Industry data where published for the first time in 2011. The move to the International Standard Industrial Classification of All Economic Activities, ISIC Rev.4 is planned for 2012, according to the release of an ISIC Rev.4 version of the OECD STAN database.

Quarterly National Accounts

Purpose

1. To provide a real time update of member and non-member countries' sets of quarterly national accounts to internal users, mainly the OECD Economics Department. Quarterly national accounts constitute a significant input into the OECD's macro-economic modelling and forecasting work.

2. To provide external users a selection of key long time series from countries' quarterly national accounts, some area totals and a consistent and internationally comparable set of data for analytical purposes.

Objectives and outputs

The OECD Quarterly National Accounts (QNA) database presents data collected from countries on the basis of a standardised OECD/Eurostat questionnaire based on SNA 1993/ESA 1995. It contains, as from 1960 whenever possible (and even before for a few countries), a wide selection of the accounts produced by the 34 member countries covering accounts at the level of the overall economy and some institutional sectors accounts.

Work is concentrated on producing relevant, reliable, consistent, comparable and timely quarterly national accounts for member countries and a few non-member economies.

The QNA publications contain a selection of the accounts most widely used for economic analysis: GDP - expenditure and output approaches (current prices and volume estimates), GDP income approach (current prices), Saving and net lending (current prices), Gross fixed capital formation (current prices and volume estimates) broken down separately by type of asset and by institutional sector, Disposable income and Real disposable income components, Population and Employment, Compensation of employees by industry, Employment by industry, Household final consumption expenditure (current prices and volume estimates) by durability and by purpose.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Quarterly National Accounts (QNA)

Main Developments for 2012

General aspects:

Continue to extend the coverage of the database by the inclusion of new accounts/series provided by countries.

Expand the geographical coverage of the QNA database by including more updated data from Enhanced Engagement (EE) countries,

and possibly remaining G20 countries (Argentina and Saudi Arabia).

Data collection:

Extension of the statistical content (new accounts, new sets of chained volume estimates, new seasonally adjusted series) and the time coverage (historical series) to take account of the development of QNA made in countries.

Extension of the country coverage (EE countries and remaining G20 countries).

Encourage non-EU countries to provide QNA data in SDMX format.

Source EU data directly from Eurostat validated data.

 

Quarterly Public Sector Debt

Purpose

This new database has been launched in the framework of a coordinated activity with the World Bank and the IMF to respond to the G20 Data Gap Initiative (Recommendation 18).

Objectives and outputs

Collect detailed and comparable quarterly data on the General Government Debt, the Central Government Debt and more broadly the Public Sector Debt.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Quarterly Public Sector Debt (7PSD)

Main Developments for 2012

General aspects:

New activity.

Data collection:

New activity.

Data management:

Creation of this dataset and updates.

Quarterly Sector Accounts (Financial part)

Purpose

To provide financial quarterly sector accounts data of member and non-member G20 countries for internal and external users.

The G20 Recommendation 15 has identified Sector accounts (annual and quarterly) as essential statistics to monitor economies.

The OECD is responsible for collecting and disseminating detailed quarterly sectoral accounts for OECD member countries and other non-member G20 countries.

Objectives and outputs

Quarterly financial accounts and quarterly financial balance sheets have been collected in 2011 for the first time and stored in the new QASA browser during the 4th quarter of 2011.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Quarterly Financial Accounts and Financial Balance Sheets

Main Developments for 2012

General aspects:

New activity in 2012.

Data collection:

New activity.

Data management:

New activity.

Quarterly Sector Accounts (Non-Financial)

Purpose

To provide non-financial quarterly sector accounts data of member and non-member G20 countries for internal and external users.

The G20 Recommendation 15 required identified Sector accounts (annual and quarterly) as essential statistics to monitor economies.

The OECD is responsible for collecting and disseminating of detailed quarterly sectoral accounts for OECD member countries and other non-member G20 countries.

Objectives and outputs

Continue to collect non-financial Quarterly Sector Accounts (QSA) data for EU countries in close collaboration with Eurostat; Collect non-EU QSA data through questionnaires. Release QSA data on OECD.stat for the countries that give permission to publish the data.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Non-financial Quarterly Sector Accounts

Main Developments for 2012

General aspects:

Collecting QSA data for EU countries that have not given permissions to the Eurostat for transmitting such data to the OECD, such as France and Germany.

Collecting data from non-EU countries that has not transmitted data to the OECD.

Releasing publishable QSA data on OECD.Stat.

Contribute to the IMF for releasing G20 QSA data on PGI-website.

STAN Input-Output database

Purpose

To provide a comprehensive database for cross country analyses of industrial structures, the interrelationships between consumers and producers, and the interactions between countries (e.g. as regards outsourcing and trade flows).

Objectives and outputs

The current OECD input-output database is based on detailed national accounts estimates of economic activity and interrelationships within economies. The database is based on an ISIC Rev.3 and is consistent with the latest system of national accounts (SNA93). Data for 33 OECD countries and 11 non-member countries are currently available, with latest data for many countries referring to 2005 with tables also available for most ountries for 2000 or nearest year and for the mid-1990s.

Non-member countries involved in the activity:
Argentina, Brazil, China, Chinese Taipei, Cyprus, India, Indonesia, Latvia, Lithuania, Malaysia, Malta, Other, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand.

Databases

STAN Input-Output database

Main Developments for 2012

General aspects:

Expand the country coverage (e.g. non-OECD EU countries).

Measuring disparities in a National Accounts framework

Purpose

The aim of the Expert Group on Disparities in a National Accounts framework (EG DNA) is to consider how existing micro data could be used to produce estimates of disparities between groups of households in the framework of National Accounts.

Objectives and outputs

The Expert Group has begun its work in early 2011. Final results are expected by end 2012.

The main focus of the expert group in 2011 has been on assessing the availability of micro and macro information on household income, consumption and wealth, and on analysing similarities and divergences between the two types of sources (step 1).

From January 2012 Expert Group members will aim at generating results based on a simplified methodology matching the two types of sources, and having information on disparities indicators on household income, consumption and saving rates by group of household consistent with National Accounts averages and comparable across countries (step 2).

The Expert Group held two meetings in 2011. A third meeting is planned for August 2012. The final report is expected to be circulated to CSTAT by the end of 2012.

Non-member countries involved in the activity:

India

Main Developments for 2012

General aspects:

The final report of the Expert Group is expected to be circulated to CSTAT by the end of 2012.


2.3 Business statistics (OECD)
Business Statistics and Entrepreneurship

Purpose

i) To provide official annual data for detailed industrial and service sectors (at the 4 digit ISIC level), consistent and relevant for international comparison in order to meet policy makers' and analysts' needs for structural business statistics for detailed economic sectors. Three databases are currently maintained.

ii) To develop a program of internationally-comparable indicators of entrepreneurship, its determinants and its impacts, to inform policy-analysis and policy-making. This activity is called Entrepreneurship Indicators Program (EIP).

Objectives and outputs

i) The databases on structural business statistics (SSIS) and (BSC), updated through a joint questionnaire with UNIDO, contain annual data on core economic variables, relating to both industry and services, at a very detailed level of ISIC revision 3 (up to the 4th digit level). They cover such variables as production, value added, investment, number of enterprises, employment, wages and salaries, and hours worked. Statistics are derived mainly from structural business surveys, censuses and administrative sources.

The BSC database contains this information broken down by enterprise size class.

ii) In the framework of the Entrepreneurship Indicators Programme, Business Demography Indicators are collected formally and include indicators of birth, death and survival rates and numbers of high growth firms - all based on common concepts developped in the Eurostat-OECD Manual on Business Demography Statistics published in 2007.

The main achievement of this activity include the publication Structural and Demographic Business Statistics (March 2010) and the Statistics Brief No. 15 on Measuring Entrepreneurship (November 2010).

The Entrepreneurship Indicators Programme Steering Group held its sixth meeting in December 2010. This was followed by a Workshop jointly organised by the OECD and Eurostat. The Workshop focused on two categories of entrepreneurship determinants: culture and capabilities.

In addition to the Steering Group, the Secretariat has developed an EIP Network so that additional countries and organisations may remain abreast of the Entrepreneurship Indicators Programme work and participate on an ad hoc basis.

The EIP was presented in several official internal meetings and in Workshops and Conferences held outside the Organisation.

Non-member countries involved in the activity:

Brazil, Bulgaria, Latvia, Lithuania, Romania, Slovenia.

Databases

SDBS - Business Demography Indicators
SDBS - Structural Business Statistics

Main Developments for 2012

General aspects:

Expected improvements to SDBS statistics in 2012 include:

• The extension of the country coverage in the collection of comparable business demography statistics;
• The development of indicators by gender;
• The publication of the second issue of Entrepreneurship at a Glance in May 2012.

Data collection:

Extension of the country coverage in the collection of entrepreneurship statistics is expected. It is also expected that other entrepreneurship indicators will be identified and added.

Foreign Affiliates in Services

Purpose

To give detailed data on the role played by multinationals in the services sectors of the OECD countries, which concerns inward and outward foreign direct investment.

Objectives and outputs

The database on Foreign Affiliates Trade in Services covers the following variables: number of enterprises, turnover, value added, employment, personnel costs, investments, exports and imports, R&D expenditure and R&D personnel, for inward and outward activities of multinational firms. Data on the activity of parent companies are also requested.

Databases

Foreign Affiliates Trade in Services Database (FATS)

Main Developments for 2012

General aspects:

This database is going to be merged with the AFA database in a new AMNE database.

The 2010 questionnaire already includes these changes.

The cooperation with EUROSTAT should also become more important in 2011 going towards same definitions and questionnaires, except for the survey on parent companies.

Micro-data on enterprises

Purpose

To develop a large scale database of firm-level information, comparable across countries and industries. The database will contain a broad range of firm-level data, including employment, sales, labor costs, assets, etc., as well as information on the capital structure of firms.

This micro-database aims to complement existing OECD databases on industry and services (SBS, STAN, etc.).

Objectives and outputs

The micro-database is built on the ORBIS database of Bureau Van Dijk covering around 65 million companies across different industries and countries over several years. This database collects information on a broad range of financial and industrial information at the firm-level.

Given that the structure of the original database is not meant to serve research purposes, data is being extracted in a format suitable for analytical work. In addition, a thorough process of data cleaning and double checking is being undertaken to guarantee/increase the quality of the data.

In order to assess the coverage of the original database across industries and countries, existing databases will be used to assess the representativeness of the data.

The database is designed to support the analytical activities of different OECD directorates.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Europe, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela.

Databases

ORBIS

Main Developments for 2012

General aspects:

• Update the OECD Orbis database with a new architecture of the database, covering additional company and financial information, and as well ownership data with high quality;
• Develop more concrete definition of high growth firm and some possible work on Zephyr and micro enterprises;
• Investigate comparability or representativeness of ORBIS data with official micro-data available;
• Further identification of multinationals and business groups;
• Intra-firm trade estimates.

Data collection:

More comparable information is expected on business demography and Entrepreneurship statistics, especially on the basis of the new Eurostat-OECD manual on Business Demography Statistics.

Production and Sales Indicators

Purpose
To provide short-term economic indicators of production, sales, orders, work started and in progress and stocks for OECD member countries and selected large emerging non-member economies.

Objectives and outputs

All the subjects under the Production and sales are classified under the following six top headings: Production, Sales, Orders, Work started, Work in progress, Stocks. Within each heading, indicators are further classified according to economic activities.

A review of core indicators took place in 2010, with an aim of streamlineing the area, and prepare for a less co-ordinated operation between subjects within the MEI database and publications.

Non-member countries involved in the activity:

Brazil, China, Indonesia, Russian Federation, South Africa.

Databases

MEI_REAL

Main Developments for 2012

General aspects:

A review to streamline this area is planned.


2.4 Sectoral statistics (OECD)
1.1 Population and migration (OECD)
International Migration

Purpose

To produce consistent and annual international migration data for OECD member countries and some non-member countries and ensure methodological soundness and comparability of international migration data.

Objectives and outputs

Updating and extending the International Migration Database available via OECD.Stat and publishing an extensive statistical annex in the annual report "International Migration Outlook" (IMO), which contains the most recent available data on migration flows, foreign and immigrant populations, foreign workers, naturalisations and foreign students.

• Producing and improving standardised long-term and temporary inflows series by category and publishing in the IMO and OECD.Stat. Categories for long-term flows include work, family, humanitarian, free circulation; Categories for temporary workers include students, trainees, seasonal workers, working holiday makers, intra-company transfers.

• Updating the Database on Immigrants in OECD Countries (DIOC) for the years 2005/06.

Publication of the OECD SEM Working Paper "Are Recent Immigrants Different? A New Profile of Immigrants in the OECD (DIOC 2005/06)".

• The current version of DIOC-E (release 3.0) covers information on 32 OECD and 68 non-OECD destination countries, including country of birth, sex, educational attainment level, age, labour force status and occupation. Dissemination of DIOC-E (release 3.0) and publication of the OECD Working Paper "International Migrants in Developed, Emerging and Developing Countries: An Extended Profile" (see www.oecd.org/migration/dioc/extended).

Publication "Global Profile of Diasporas. How to better mobilise migrant skills" (forthcoming)

• Collection of thematic indicators of integration of immigrants and their children for a publication.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela.

Databases

Database on Immigrants in OECD Countries (DIOC)
Database on international migration statistics
Standardised migration flows

Main Developments for 2012

General aspects:

Project to disseminate quarterly statistics on labour market outcomes of imigrants.

Develop mechanims to improve and streamline the production of the harmonised statistics.

Release of the update of DIOC 2005/06.

Publication on the indicators of integration of immigrants and their children.

Data collection:

Development of Sicremi network.

Data collection:

In 2012, a new data collection will be launched (DIOC 2010/11) in collaboration with STD. National Institutes for Statistics in OECD countries and other main destination countries will be contacted to update DIOC with population register data and 2010/11 census data.

Data collection:

Development of the dataset with subcategories inside the main work/family/study/humanitarian and others.

Development of the dataset by country of origin and gender.

Data collection:

Project to disseminate these statistics quarterly.

Data collection:

Plan to implement a network of correspondents to collect data on migration in Asia on a regular basis.

Population Projections

Purpose

Maintain a population projections database to achieve transparency in the use of population projections within OECD.

Objectives and outputs

Expanision of the database.

Non-member countries involved in the activity:

Brazil, Bulgaria, China, Cyprus, India, Indonesia, Latvia, Lithuania, Malta, Romania, Russian Federation, South Africa, World.

Databases

MEI SQL

Main Developments for 2012

General aspects:

Update the database with UN revised data for the non-member countries data and national statistical sites for members countries data.1.2 Labour (OECD)
Annual Labour Force Statistics

Purpose

To provide relevant, reliable annual labour force statistics covering long time series for internal OECD users (in particular, the Economics Department), member country government agencies and other external users in academic institutions and private enterprise.

Objectives and outputs

The main objective is to provide long time series for key annual statistics on population, labour force, employment and unemployment. This database contains annual statistics for OECD member countries comprising: population, total employment, unemployment, civilian employment by sectors, part-time employment, duration of unemployment. Published output also includes participation and unemployment rates by gender and detailed age groups as well as comparative tables for the main components of the labour force.

Data are available for all OECD member countries and for OECD-Total, Euro area and European Union. Time series cover 20 years for most countries. The long time-series for the data presented facilitate identification of structural changes in labour force over time.

Published output are also accompanied by target OECD and ILO international statistical standards (definitions, etc) and summary methodological information (national definitions, coverage, collection, calculation, series breaks, sources) used by individual OECD member countries in the compilation of the statistics published in the ALFS.

Databases

Annual Labour Force Statistics

Main Developments for 2012

Data collection:

Targeted countries slow at responding to the annual questionnaire will be requested to speed up their response.

Infra-annual Labour Force Statistics

Purpose

To provide relevant, reliable key infra-annual labour force statistics such as employment and unemployment (levels, rates) for internal OECD users, member country government agencies and other external users in academic institutions and private enterprise.

Objectives and outputs

The main objective is to provide long time series for key infra-annual labour statistics as well as timely short-term indicators on the labour force such as employment and unemployment. Data are disseminated in the OECD Main Economic Indicators (MEI) database, a monthly press release on harmonised unemployment and on OECD.Stat.

The MEI database contains monthly, quarterly and annual indicators on employment, unemployment, labour compensation and for some countries indicators on vacancies, hours worked, labour disputes, etc.

Data are available for all OECD member countries and for key series (employment, unemployment, hourly earnings) aggregates for OECD-Total, Major seven, OECD-Europe, EU27 and Euro area and for selected non-member countries.

In the MEI series are accompanied by summary metadata outlining key concepts, coverage, etc. Published output are also accompanied by target OECD and ILO international statistical standards (definitions, etc) and summary methodological information (national definitions, coverage, collection, calculation, series breaks, sources) used by individual OECD member countries in data compilation.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

ALFS_POP_VITAL ALFS_POP_LABOUR ALFS_EMP ALFS_SUMTAB

Main Developments for 2012

General aspects:

Quarterly News Release on Employment.

Data collection:

Small number of countries slow at responding to the annual questionnaire will be requested to speed up their response. The collection of further data and metadata for NMEs, in particular, China and India.

Labour Market Statistics

Purpose

To produce a comprehensive set of statistics to monitor labour market developments in OECD countries, while enhancing their international comparability.

To monitor the current jobs crisis and subsequent jobs recovery.

To provide statistical information to undertake labour market analyses and policy formulation to be discussed at international meetings on labour policies.

To provide background information for preparatory work for international statistical guidelines.

Objectives and outputs

Regular collection, production and dissemination of labour statistics on labour market outcomes and performance (i.e. earnings levels, earnings distribution, etc.) and institutional variables (i.e. minimum wages, stock of participants and expenditure on labour market programmes - LMP data, EPL index, trade union membership, collective bargaining coverage, etc.) to serve as an analytical basis for labour market analysis.

Data are used to produce the statistical annex of the Employment Outlook and the internal and external on-line Labour Force Statistics database stored on OECD.Stat (Key Employment Statistics and www.oecd.org/els/employment/data).

Some of the data series are reported in the OECD Main Economic Indicators database (http://stats.oecd.org/index.aspx) and in the OECD Annual Labour Force Statistics publication.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Labour Market Statistics

Main Developments for 2012

General aspects:

The expansion of the LFS database will gain momentum to improve country coverage and comparibility regarding job tenure, hours worked, minimum wages and wage earnings data and to compile data in the area of youth and workforce ageing, broader measures of unemployment, etc.

Time permitting a closer look at statistics to characterise informal employment will be attempted based on existing international guidelines on this subject.

Work underway to consolidate earnings related statistics and to improve their comparability.

Continuation of the assessment of annual working time statistics to improve their international comparability with the aim of publishing of comparable estimates on annual hours actually worked per employed person in the statistical annex of the Employment Outlook.

Continuous migration of data and metadata that are relevant for labour market statistics to OECD.Stat for internal and external web based dissemination.

Data collection:

Given the analytical capacity of working with indiivual records for policy formulation, it is felt important, where possible, to develop the capability for direct access to labour force survey (public use) microdatasets in OECD Member States with a particular focus on non-EU countries.

So far, we have been able to access to labour force survey public use files of 9 OECD countries.

Besides, in the two-year period of 2009-2010, public use files of household survey microdatasets were collected for Brazil, India, Indonesia and South Africa as well as for Mexico and Turkey.

Further exploration on the availability of labour force and income surveys will be pursued in 2011 to include micro-datasets for Chile, the Russian Federation, and other OECD countries.

In 2011, micro-datasets stored currently are expected to be updated.

Data management:

Migration of the remaining parts of Earnings distribution database in 2012.

Unit Labour Costs

Purpose

To maintain and expand the OECD System of Unit Labour Cost and Related Indicators, which brings together a wide range of data sources for all OECD member countries. A set of internationally comparable quarterly unit labour cost (ULC) indexes for eight economic activities (ULC) indexes are produced together with annual series for ULC, Labour productivity, Labour Compensation (including PPP adjusted), Labour Income shares and Exchange rate adjusted ULC.

In addition, early estimates of quarterly ULCs are produced at t+75 (as a target) and disseminated via a media releease.

At the same time, labour compensation statistics are updated an on-going basis every month, as an input to the MEI publications.

The quarterly ULCs provide the inputs to the Economics Department for production of their real effective exchange rates competitiveness indicators.

Objectives and outputs

The key objectives of 2011 were to review the quality and comparability of established production system. Early estimates of quarterly (EEQ) ULCs were developed which improve the timeliness, comparability with those produced by ECB, and analytical capacity of the existing ULCs. The EEQ ULCs are compiled indirect method which means that seasonally adjusted (SA) ULCs are compiled from SA compenent series collected from NSOs as much as possible. At the same time, ULC media release is revised. In addition, annual data was prepared for publication in the OECD Factbook. Joint ULC project between STD and ECB was continued.

Non-member countries involved in the activity:

Brazil, Bulgaria, China, Cyprus, Lithuania, Malta, Russian Federation, South Africa.

Main Developments for 2012

General aspects:

Major tasks in 2012 will be integrate estimates of ULC within the Productivity database. Early ULC estimates for Total economy will continue being updated with continued co-operation from ECB. At the same time, compilation of new ULCs for G20 countries will be pursued.

Data collection:

Major task will be the incorporation of the very large number of new series into the on-going MEI data collection processes.
1.3 Education (OECD)
AHELO (Assesment of Higher Education Learning Outcomes) Feasibility Study

Purpose

The purpose of the AHELO feasibility study is to assess whether it is possible to measure what undergraduate degree students know and can do at the international level, in order to provide better information to higher education institutions, governments and other stakeholders, including students and employers. This will entail an evaluation of the scientific feasibility of undertaking an international assessment of higher education learning outcomes (in generic and subject-specific skills) at the end of a Bachelor's degree programme, as well as gauging the feasibility of its practical implementation.

Objectives and outputs

In 2011, assessment instruments have been developed, translated, adapted and pilot-tested in all 3 strands of work (generic skills, economics and engineering) in participating countries. Likewise, context survey instruments have been developed, translated, adapted and pilot-tested.

Non-member countries involved in the activity:

Colombia, Egypt, Other, Russian Federation.

Main Developments for 2012

General aspects:

Work in 2012 will involve:

• The international implementation of instruments in participating countries and institutions;
• The analysis of the data collected;
• The preparation of the final report;
• Its discussion at a final conference of the feasibility study to be held on 10-11 December in the Netherlands.

Education (INES activities)

Purpose

To produce and publish indicators and analysis on the operation, evolution and impact of education, from early childhood through formal education to learning and training throughout life. The collected data cover the outputs of educational institutions, the policy levers that shape educational outputs, the human and financial resources invested in education, structural characteristics of education systems, and the economic and social outcomes of education.

Objectives and outputs

Production of indicators on the financing of education, participation in and graduation from education. Indicators on educational attainment of the adult population and associated labour market outcomes, teacher salaries and work conditions, and instruction time are provided by INES Networks LSO (Labour Market, Economic and Social Outcomes of Learnong) and NESLI (Collection and Adjudication of System-level descriptive Information on Educational Structures, Policies and Practices).

The main publication is "Education at a Glance".

Main achievements in 2011 include the consolidation of the technical documentation of the education data collection, the development of indicators on the net present value of education, the relative earnings according to the level of educational attainment and the social outcomes of education as well as on how efficiently are resources used in education, on how do education systems monitor school performance. It also includes PISA 2009 results, the new indicators on school accountability, upper secondary and tertiary studies by field of education, upper secondary completion rates and the development of trend data on access and graduation to education and on financial aid to students. Ongoing methodological work includes: students' mobility and graduation comparability study, conceptual framework for the measurement of knowledge and skills, development of efficiency measures, consolidation of tertiary indicators and improvement of the quality of ISCED implementation.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Russian Federation.

Databases

Education database

Main Developments for 2012

General aspects:

Education database will benefit from the OECD.Stat and MetaStore developments. Trend data will be reviewed. Data and indicator development will include improving the quality and relevance of the tertiary indicators on entry, graduation, tuition fees and student mobility, further developing the indicators on educational efficiency and on upper secondary completion rates . A programme of work will also continue to review comparability issues with the international education classification (ISCED) and to develop solutions to tackle these.

Data collection:

New quality and timeliness standards for data collection and indicator compilation will be introduced.

Inclusion of a new questionnaire on non-teaching staff.

Data management:

None.

Education and Social Progress

Purpose

Education and Social Progress (ESP) project will:

• Analyse the role cognitive and non-cognitive skills play in fostering measures of well-being and social progress in OECD countries; and
• Identify how skills that matter can be better developed in formal, non-formal and informal learning environments including family, school and the community.

Objectives and outputs

The long-term objective of ESP project is to translate our findings into instruments that can be used by education stakeholders. One instrument is a set of policy recommendations, which provides decision-makers with ideas and policy orientations that can be adapted to country specific contexts. Another is a set of toolkits that policy-makers, school administrators and teachers can use to explore ways to identify groups that are at-risk, skills that might be reinforced and concrete action plans to follow. The third instrument is a critical review of existing competency frameworks, which aims at assessing whether or not the conceptual thinking and practices related to key competencies are evidence-based.

Indicators on Skills, Mobility and Job Quality

Purpose

To provide OECD members with a statistical tool for better understanding the relationship between skills mobility and job quality at the local level. This activity is contributing to the OECD Skills Srategy.

Objectives and outputs

LEED has developed a new statistical diagnostic tool to better understand the balance between skills supply and demand at sub-regional level. In 2011-12 this tool is being applied in a broad set of countries, drawing on available data at TL3 level to produce composite indicators of supply and demand. Data is being collected for a number of indicators including qualification levels, productivity, occupational structure, wages and unemployment at sub-regional level and analysed by the Secretariat. The work is an input to the OECD Skills Strategy and the results will be made available at the Skills@OECD website.

Main Developments for 2012

General aspects:

A new methodology to establish benchmarking groups has been developed.

Programme for International Student Assessment (PISA)

Purpose

The Programme for International Student Assessment (PISA) was created by the OECD member countries in 1997 to produce direct assessments of student performance, on a regular basis in an efficient, timely and cost-effective manner; and to provide more relevant and powerful indicators of human capital. PISA produces assessments of reading literacy, mathematical literacy, scientific literacy and a growing range of cross-curricular competencies among 15-year-olds in school.

Objectives and outputs

In 2012, following the release of the initial report of 2009 data in December 2010, there will be further thematic reports produced on learning gains (based on the Canadian PISA cohort study), children of immigrants, private schooling and parental involvement. The results from the 9 additional countries who implemneted PISA 2009 one year later were published in December 2011. In addition, a new product 'PISA in Focus' will be published each month featuring short notes on specific topics including "The gender gap in digital reading", "What makes a country a strong performer in PISA?" and "Gender differences in career expectations."

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Dominican Republic, Ecuador, Egypt, El Salvador, Europe, Georgia, Guatemala, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.

Databases

PISA 2009 international database

Main Developments for 2012

General aspects:

The field trial for PISA 2012 was successfully condicted in 2011, thus preparing for the main study in 2012, which will be conducted among the 67 participating countries and economies. In addition, preparation is already underway for PISA 2015 and the first operational meetings will take place in 2012.

Data collection:

The field trial for the PISA 2012 data collection will be conducted in 2011. As well as data collection in the core subjects of mathematics, reading and science (with mathematics the major domain), there will be data collection from the assessment of problem solving skills (entirely electronic assessment and data collection) and the optional assessment of financial literacy.

Programme for the International Assessment of Adult Competencies (PIAAC)

Purpose

To identify and measure differences between individuals and across countries in key competencies and other economic and social outcomes believed to underpin both personal and societal success; assess their impact on economic and social outcomes; assess the performance of education and training systems in generating the required competencies at the levels required by social and economic demands; and identify key policy levers that lead to enhancing competencies and their effective utilisation.

Objectives and outputs

The objective for 2012 is to complete the data collection and to prepare for the first international report that will be published in 2013.

Non-member countries involved in the activity:

Cyprus, Russian Federation.

Main Developments for 2012

General aspects:

The project will complete the data collection phase and start to create database for the first international report.

Data collection:

It should be completed by March 2012.

Teaching and Learning International Survey (TALIS)

Purpose

To provide data and indicators on the learning environment in schools and about the work environment of teachers, as part of the OECD education indicator work.

Objectives and outputs

The further development of indicators and analysis of teachers, teaching and learning through further analysis of the first round of TALIS (thematic reports on the working experience of new teachers and on teaching practices and innovation) and preparation of a second round, for which data collection is scheduled to take place in 2012 and 2013.

TALIS focusses on the learning environment in schools, sampling teachers and school principals and aims to provide cross-country data, indicators and analysis on factors influencing effective teaching and learning and the working environment of teachers. The focus for the core survey of second round is lower secondary (ISCED Level 2), though countries also have the option to survey elementary (ISCED Level 1) and upper secondary (ISECD Level 3) schools and to perform a school-level linkage with PISA 2012.

Non-member countries involved in the activity:

Brazil, Bulgaria, Croatia, Latvia, Malaysia, Other, Republic of Serbia, Romania, Singapore.

Main Developments for 2012

General aspects:

The first round of TALIS was completed in 2009 with the first results reported in "Creating effective teaching and learning environments: First results from TALIS", published in June 2009. A selection of indicators were also published in Education at a Glance 2009 and in a thematic report by the European Commission "Teachers's professional development".

The work in 2012 will focus on further exploitation of the data from the first round of TALIS, including through the publication of thematic reports on the working experience of new teachers and on teaching practices and innovation in education. The work during 2012 will also focus on the second round of data collection, particularly on the Field Trial in all 33 participating countries as well as the Main Study data collection in the Southern Hemisphere countries.
1.4 Health (OECD)
Health Care Quality Indicators

Purpose

The purpose of the Health Care Quality Indicators (HCQI) Project is to develop a set of indicators that can be used to raise questions regarding quality of care across countries. They have been reported regularly in a chapter in Health at a Glance publication since 2007.

Objectives and outputs

The entire HCQI database was made available at the OECD.Stat for the first time in 2011. The comparability and quality of data were improved and the database was also expanded, covering patient safety indicators.

Non-member countries involved in the activity:

Cyprus, Latvia, Malta, Singapore.

Databases

HCQI Data Collection

Main Developments for 2012

General aspects:

The HCQI Project goals in 2012 are: to review and refine existing quality of care indicators in prepration for the 2012-13 HCQI Data Collection to commence in November 2012; and to undertake data analysis to support research work in relation to the ongoing priorities of the HCQI Project.

The HCQI project is embarking on further development work with respect to indicator improvement and interpretation of cross country variations.

The main focus is on:

• the development of patient safety and patient experience indicators, and
• the inclusion of data from additional countries.

The HCQI project will also expand work in the construction of more direct measures of primary care quality for understanding observed differences and the cross-national analysis of the quality of primary care performance.

Data management:

Development of data collection tool more appropriate for StatWorks.

Health Data

Purpose

To provide policy makers and health researchers with a wide range of statistics on health and health systems to allow comparative analysis of different aspects of the performance of health systems. The database includes data on health status and risk factors to health, health care resources and activities, long-term care resources and activities, pharmaceutical consumption, health expenditure and financing, and health care quality. The data come from four questionnaires: 1) the OECD Health Data questionnaire; 2) the joint OECD/Eurostat/WHO (Europe) questionnaire on non-monetary health care statistics; 3) the joint OECD/Eurostat/WHO health accounts questionnaire; and 4) the OECD Health Care Quality Indicators questionnaire.

Objectives and outputs

Progress was achieved in 2011 in improving the availability and comparability of data on different categories of doctors and nurses that are collected throuth the joint OECD/Eurostat/WHO (Europe) questionnaire. The OECD Secretariat has also shared this joint questionnaire with the WHO Western Pacific Regional Office (WPRO) with a view to encourage the use of the same definition of variables for any data collection in that region to promote greater comparability.

Progress has also been achieved in improving the comparability of data on surgical procedures, based on a proposed new standard methodology to count procedures and a better specification of coverage of health care facilities.

A new edition of "Health at a Glance" was released in November 2011, including a new special chapter on long-term care, and data for large emerging economies where possible.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

OECD Health Data 2012

Main Developments for 2012

General aspects:

Improving the availability and comparability of data on health status (morbidity), health inequalities, health care interventions (surgical procedures), and pharmaceutical consumption.

Working towards the extension of the joint OECD/Eurostat/WHO (Europe) questionnaire on non-monetary health care statistics to include health care activities (in addition to health care resources).

Health Expenditure and Financing

Purpose

To provide policy relevant, comparative data and analysis on health expenditure and financing, and to facilitate harmonisation across national health accounting practices. To provide data sources for research and to make country-specific health accounts data and analysis more widely available.

Objectives and outputs

The sixth Joint OECD, Eurostat and WHO System Health Accounts (SHA) data collection was successfully implemented in 2011. It has improved the availability and comparability of health expenditure data and also contributed to the improvement in health expenditure data published in OECD Health Data. A System of Health Accounts database has been developed as a component of the OECD Statistical Information System. National Health Accounts Experts and others interested in accessing health accounts data can now do so using OECD.Stat and SourceOECD.

Methodological developmental work has continued over recent years on a number of projects: Improving the Comparability and Availability of Private Health Expenditure; Development of Output based Health-Specific Purchasing Power Parities; Estimating Expenditure by Disease, Age and Gender; and Improving Estimates of Imports and Exports of Health Goods and Services.

Since 2006 OECD, EUROSTAT and WHO collaborated to revise the System of Health Accounts methodology. This process was concluded in October 2011 with the publication of the new manual A System of Health Accounts 2011. Pilot studies are currently undertaken to test the implementation of the new manual.

Non-member countries involved in the activity:

Albania, Bosnia and Herzegovina, Brazil, Bulgaria, China, Croatia, Cyprus, India, Indonesia, Latvia, Lithuania, Macedonia, Malta, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Slovenia, South Africa

Databases

OECD Health Expenditure and Financing

Main Developments for 2012

General aspects:

In 2012, the seventh Joint OECD-Eurostat-WHO health accounts (SHA) data collection will take place. Previous improvements to the validation tools used both by the national compilers and the international organisations will continue to provide efficiency gains in the validation exercise and ultimately feed through to improved timeliness in dissemination of the data.

Data collection:

No changes in questionnaire.

Mental Health, Disability and Work

Purpose

In the late 2000s, the OECD Review "Sickness, Disability and Work: Breaking the Barriers" concluded that policy has changed very much in many countries but not enough in most cases; by and large policies remain too passive in nature. The review identified two big questions to be addressed more fervently: First, why so many people take leave of absence or apply for a disability benefit on the grounds of mental illness; and secondly, how people with mental health conditions could be better integrated into the labour market. The new OECD Review "Disability and Work: Challenges for Labour Market Inclusion of People with Mental Illness" aims to address these two questions, by drawing lessons from policies and outcomes in ten member countries (Australia, Austria, Belgium, Denmark, Netherlands, Norway, Sweden, Switzerland, United Kingdom, United States). See www.oecd.org/els/disability.

Objectives and outputs

A data questionnaire was sent to ten member countries (Australia, Austria, Belgium, Denmark, Netherlands, Norway, Sweden, Switzerland, United Kingdom, United States) participating in the new OECD Review "Disability and Work: Challenges for Labour Market Inclusion of People with Mental Illness".

The first report "Sick on the Job? Myths and Realities about Mental Health and Work" was released on 12 December 2011, with a dissemination seminar at the OECD headquarters in Paris. It served as a basis for the next phase of the project which will look in depth into the challenges and policies of selected OECD countries. See www.oecd.org/els/disability.

Main Developments for 2012

General aspects:

Development Preparation of comparative indicators and analysis on the relationship between mental health conditions, work and benefit recipiency; based on data received from ten OECD countries. The reports and the indicators will inform the second phase of the project which aims to provide evidence-based policy conclusions for the countries participating in the project.1.5 Income and consumption (OECD)
Expert group on Income, Consumption and Wealth

Purpose

Establishing guidelines for the join measurement of income, consumption and wealth at the household level.

Objectives and outputs

To produce two handbooks on methodological guidelines.

Main Developments for 2012

General aspects:

Finalisation of the handbooks.1.6 Social protection (OECD)
Social Benefit Recipients

Purpose

Detailed data on benefit recipiency in a comparative framework are needed to assess how effective social safety nets are at reaching their objectives.

For instance, they show who benefits from social safety nets, and what share of a targeted population is actually covered. In a longitudinal perspective, these recipiency data help identify the role of safety nets across the economic cycle, and how recipients adjust to changes in programme rules. These questions are essential in the perspective of adapting social systems to future economic and demographic challenges.

Currently, comprehensive data on benefit recipiency is not easily available, and is sometime difficult to obtain even at country level. Furthermore, very little information is usually provided on beneficiary characteristics, almost no information is available on programme entries and exits except in some cases.

The database should ideally cover income replacement benefits and their main supplements paid to the working age population.

Objectives and outputs

In December 2011, a first partial and preliminary version of the database has been made available. The access to the database is restricted to the (OECD and European Commission) people directly involved in the project. In a further step of the project, the database will be made public. This first version includes annual caseloads for 2007 and 2008 and, depending on data availability on each country, the inflows, outflows and the number of recipients broken down by age and gender during the same period.

The main objectives for 2012 are:

• Improve the quality of existent data;
• Use reference time series to compute relevant indicators;
• Gather 2009 and 2010 information and include them in the database.

Non-member countries involved in the activity:

Bulgaria, Cyprus, Latvia, Lithuania, Malta, Romania.

Main Developments for 2012

General aspects:

No major changes regarding the objectives and deliverables.

The questionnaire asking for 2009 and 2010 data, to be sent in 2012, has been improved and simplified with respect to the one sent in 2011.

Data collection:

No major changes are planned.

Social Expenditure

Purpose

The database has been developed to monitor trends in aggregate social expenditure as well as changes in its composition. SOCX includes historical series from 1980 on public and mandatory private social expenditure at programme level classified under the major social policy areas. See www.oecd.org/els/social/expenditure.

Objectives and outputs

Social Expenditure Database: data collection (in co-operation with Eurostat for EU countries) and dissemination on the internet www.oecd.org/els/social/expenditure of expenditure data, programme by programme, grouped in the main expenditure categories, since 1980.

Working Paper #124 "Is the European welfare state really more expensive? Indicators on social spending, 1980-2012 and a manual to the OECD Social Expenditure database (SOCX)" came out in Novermber 2011, including net (after taxes) and voluntary social spending.

Databases

Social expenditures

Main Developments for 2012

General aspects:

No major changes.

Data collection:

Data update every other year. 2008 and 2009 will be collected in first semester of 2012.
We will compute some short term spending projections till 2012 or 2013.


2.5 Government finance, fiscal and public sector statistics (OECD)
Central Government Debt Statistics

Purpose

To provide an analytical tool primarily to government debt managers as well as to financial analysts including policy analysts, security analysts, commercial financial institutions, research analysts, etc. This work is carried out under the auspices of the Working Party on Government Debt Management.

The publication "Central Government Debt - Statistical Yearbook" provides annual statistics on central government debt instruments in the 34 OECD countries. The coverage of the data is limited to central government debt issuance; it excludes state and local government debt and social security funds. The main focus of the statistics is marketable debt instruments as well as duration and average term to maturity of domestic, foreign and total debt.

In addition, the publication provides individual country notes including methodological information such as a description of debt instruments and selling techniques in each country.

Objectives and outputs

In the 2011 edition of the statistical yearbook, 3 new OECD Member countries will be added: Estonia, Israel and Slovenia.

Non-member countries involved in the activity:

World.

Databases

Central Government Debt Statistics

Main Developments for 2012

General aspects:

This data collection is suspended in 2012.

It is replaced by a new data collection launched in January 2012 named "Quarterly Public Sector Debt". Please see the details of this new activity in the 2012 Program of Work.

Data collection:

No data collection is planned in 2012.

Consumption Tax Trends

Purpose

To compile data from OECD member countries on their consumption tax rates, scopes and thresholds and provide comparative tables and analysis of trends. This includes data on VAT/GST, selected excise duties and car taxation. To compile statistics on VAT/GST revenues from internal OECD sources in order to provide an analysis of trends and calculate the VAT Revenue Ratio. To provide information about a number of consumption tax topics.

Objectives and outputs

Objectives: obtain consensus from WP9 delegates on the table of contents (approved in November 2011); Obtain data from member countries (February 2012); Analyse data (February-April 2012); Drafting & special features (April-July 2012); Edition process (July-September 2012); Publication: September 2012.

Non-member countries involved in the activity:

India

Databases

Consumption Tax Trends

Main Developments for 2012

General aspects:

Compared to 2010 Edition, a special chapter will be devoted to application of VAT in federal countries (including Australia, Canada, Brazil and India). New tables will be added on input tax blockings and low consignment reliefs. Methodological amendements will be brought to the calculation of the VAT Revenue Ratio.

Data collection:

None.

Fiscal Relations Across Levels of Government

Purpose

To collect data to support the activities of the Network on Fiscal Relations across Levels of Government. This includes data on sub national governments' discretion over own revenues and expenditures, on the design of local taxes, on intergovernmental transfers, on fiscal equalisation, on indicators of decentralisation, and on macroeconomic management of sub-central finance (fiscal rules).

Objectives and outputs

Collection and user-friendly presentation of revenue and spending shares (sub-central government as a share of general government and GDP).

Databases

Fiscal decentralisation

Main Developments for 2012

General aspects:

More data will be available on OECD.stat. More data will be presented in a user-friendly way on the Fiscal Network's own website.

Monitoring of Private Pension Systems: Global Pension Statistics

Purpose

Launched in 2002 this exercise provides a unique source of comparable statistics and indicators of funded pension plan systems from an international perspective and also facilitates cross-country comparisons of the most up-to-date statistics and indicators on key aspects of funded retirement systems across OECD and non-OECD countries. It aims to provide information about the main trends and features of funded pension plan systems in a clear and concise format.

Objectives and outputs

It aims to provide in a compact manner a comparative overview of the importance and structure of private and funded pension systems across OECD and non-OECD countries using a selected set of statistics and indicators, compiled on an on-going basis together with its companion product dedicated to the description and assessment of countries' statistical methodology following the OECD Classification on pension plans and pension funds.

As far as paper publications are concerned, the newsletter "Pension Markets in Focus" was released in July 2011 and private pension indicators have been included in the flagship publication 'OECD Pensions at a Glance 2011'. Contributions to other OECD publications (e.g. 'OECD in figures', 'OECD Factbook') will continue in 2012 as well as approximately sixty country profiles generated for the IOPS Web site on a yearly basis. In addition, one OECD flagship publication will be published in 2012 including private pension statistics: the 'OECD Pensions Outlook 2012'.

Non-member countries involved in the activity:

Albania, Bolivia, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Hong Kong, India, Indonesia, Kazakhstan, Latvia, Liechtenstein, Lithuania, Macedonia, Peru, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, Slovenia, South Africa, Thailand, Ukraine.

Databases

OECD Global Pension Statistics
Pension indicators

Main Developments for 2012

General aspects:

With respect to quality improvements, the work in 2012 will focus on methodological issues such as valuation methods for assets and liabilities, and review of definitions within the statistical questionnaire.

The geographical scope should be extented to non-member countries, and in particular OECD Accession and Enhanced Engagement countries as well as remaining G20 countries not in the GPS framework yet.

Data collection:

Following discussions within the subgroup of the Task Force on Pension Statistics dealing with quality issues, and after the approval of the Task Force, adjustements will be done to the OECD statistical questionnaire, notably for the definition of variables related to investment income, derivatives and asset allocation.

Data management:

Additional variables should be collected related to asset allocation and derivatives.

OECD Statistical Yearbook on Central Government Debt and Public Debt Policies

Purpose

OECD Statistical Yearbook on Central Government Debt and Public Debt Policies:

The OECD also undertakes the annual collection of data for central government debt according to the specific requirements of the Statistical Yearbook on Central Government Debt which provide detailed breakdowns on public debt management policies and information on related primary and secondary government securities markets. The collection and provision of these additional data can serve as satellite accounts and complementary information. The OECD Statistical Yearbook on Central Government Debt (and Public Debt Policies) is currently being revised partly in response to the G20 Action Plan on Local Currency Bond Markets. To that end, Hans Blommestein, Head of OECD's Public Debt Management and Bond Market Unit, presented papers at the Third International Workshop on Developing Local Bond Markets (hosted by the Bundesbank in Frankfurt on 17-18 November 2011 and organized by the IMF and WBG as part of the implementation of the G20 Action Plan).

Objectives and outputs

Statistics and policy description are published in "Central Government Debt - Statistical and Policy Yearbook" for OECD countries. This publication was issued for the first time in 2000, analysing in detail and country-by-country central government debt in OECD countries. The main focus of the statistics is marketable debt instruments. In addition, the publication provides individual country notes including methodological information as well as a description of debt instruments and selling techniques in each country. The objective is to provide an analytical tool primarily to government debt managers as well as to financial analysts including policy analysts, security analysts, commercial financial institutions, research analysts, etc.

The main objective of provide information on policies is to make available comparable cross-country data on public debt managment strategies, operations and techniques.

Databases

Central Government Debt Statistics

Main Developments for 2012

General aspects:

Preparation of the Central Government: Statistical and Policy Yearbook based on a revised version model of previous annual publications.

Up-date and expand version of the Central Government Debt: Statistical and Policy Yearbook is envisaged. Part of this work constitutes a response to the G20 request on addressing data gaps.

Develop and improve documentation on the sources and methodology of national data as well as debt policies, procedures and techniques.

Data collection:

Prepare the Central Government: Statistical and Policy Yearbook based on a revised version model of previous annual publications.

Revenue Statistics

Purpose

To provide data on tax revenues in OECD countries. These data are widely used within and outside the OECD to analyse tax policy developments in OECD countries.

Objectives and outputs

The annual "Revenue Statistics" publication provides a conceptual framework to define which government receipts should be regarded as taxes and to classify different types of taxes. It presents a set of detailed, internationally comparable tax data in a common format for all OECD countries from 1965 onwards.

Special features dealing with specific areas of interest (e.g. the interpretation of tax-to-GDP ratios; the impact of revised GDP figures on reported tax levels; changes to the rules for attributing revenues by level of government) represent an important component of the annual report.

Databases

Revenue Statistics

Main Developments for 2012

General aspects:

Publish data earlier - by September.

Revenue Statistics in Latin America

Purpose

To provide data on tax revenues for a selection of Latin American countries under an OECD classification system thereby enabling comparisions between LAtin American and OECD countries.

Objectives and outputs

The Revenue Statistics in Latin America" publication provides a conceptual framework to define which government receipts should be regarded as taxes and to classify different types of taxes in 12 selected Latin American and Caribbean countries. It presents a set of detailed, internationally comparable tax data from 1990 onwards in a common format using the same methodology as the OECD Revenue Statistics database. The publication presents detailed cross-country comparisions between individual Latin American economies and also for the first time between them and OECD countries.

Non-member countries involved in the activity:

Argentina.

Databases

Revenue Statistics in Latin America

Main Developments for 2012

General aspects:

Add an additional 3 countries to the 12 countries covered in the first edition of the publication.

Data collection:

Including 3 additional countries to make a total of 15.

Data management:

Coverage extended to 15 countries from 12 previously.

Tax Rates

Purpose

To provide information on tax rates in OECD countries. The taxes covered are personal and corporate income taxes, social security contributions and value added tax. The data are used to analyse tax rate trends and their policy implications.

Objectives and outputs

Data tables showing, for each of the main taxes, the rate and its method of application in each country are disseminated on the OECD website.

Databases

OECD Tax Database.

Taxing Wages

Purpose

To provide annual data for OECD countries on the personal income taxes and social security contributions paid by employees and their employers.

Objectives and outputs

The annual "Taxing Wages" publication details the tax/benefit position of employees, covering personal income tax and social security contributions paid by employees and their employers, and universal cash benefits received by family units. Taxes and benefits are detailed for eight family-types, which differ by income level and household composition. The report also presents the resulting average and marginal tax rates.

Databases

Taxing Wages

Main Developments for 2012

General aspects:

Earlier publication in 2012 compared with May in 2011.

Government at a Glance Indicators

Purpose

To collect comparable data and indicators of good government and efficient public services, and to provide robust empirics with which to assess the impact of public management reforms and progress made in their implementation.

Objectives and outputs

The objective is to presents internationally comparable set of data in order to help decision makers and the public analyse and benchmark government performance. The database includes measures of both the market and non-market activities of government and for selected indicators of government-owned enterprises. Data are based on general government/public sector labor statistics; on detailed information from general government national accounts (investments, public corporations, supply and use tables) and informations collected by GOV surveys on governance as well data collected on government outputs and outcomes by CTP, EDU, ELSA. Government at a Glance indicators are regularly (every second year) published in "OECD Government at a Glance". The last edition (2011) included indicators on public finance and economics, public sector employment; HRM; compensation for key public sector occupations ; regulatory governace; tranparency in governance; service delivery and also output and outcome measures for selected policy sectors and functions.

Non-member countries involved in the activity:

Brazil, China, Egypt, India, Indonesia, Russian Federation, South Africa, Ukraine.

Databases

Government at a Glance Indicators

Main Developments for 2012

General aspects:

In 2012 the main priorities are to consolidate the existing database with the introduction of periodical updates of such database for selected indicators. Moreover, priority is to implement the development of new indicators for Government at a Glance 2013 focusing on service delivery, rule of law and better indicators for the the implementation and results of various public management and governance practices.

Data management:

Planning to introduce periodical updates of the dataset for selected indicators.

Benefits and Wages

Purpose

Monitor reforms of tax and benefits systems and their impact on work incentives and income adequacy. Results are used as the basis of the OECD's "Benefits and Wages" publication and as inputs into a wide range of studies produced within and outside the OECD. In addition, the group develops and maintains tax-benefit models. These computer models allow a wide range of tax and benefit indicators to be produced. Finally, the online "tax-benefit calculator" and tax-benefit models for 32 OECD and an additional 6 EU countries are available on the web-page www.oecd.org/els/social/workincentives and are updated annually.

Objectives and outputs

The Benefits and Wages series addresses the complicated interactions of tax and benefit systems for different family types and labour market situations. The series is a valuable tool used to compare the different benefits made available to those without work and those with different levels of in-work income. The resulting indicators (such as 'net replacement rates') are useful for addressing issues of both work incentives and adequacy of household incomes.

Recent updates include calculations of incomes and work incentives net of childcare costs. Country coverage was recently extended to include Estonia, Israel and Slovenia, and, as part of a grant agreement with the European Commission, the new EU Members States who are not currently members of the OECD: Bulgaria, Cyprus, Latvia, Lithuania, Malta and Romania. Preliminary models have been developed for Russia. Finally, ad-hoc (2009) models were developed jointly with the World Bank for a number of south-eastern European countries: Bosnia and Herzegovina, Former Yugoslav Republic of Macedonia (FYROM), Serbia.

An interface for interactive web access to tax-benefit models has been developed ("tax-benefit calculator") and is available on the web-page www.oecd.org/els/social/workincentives. Also available on this web page are country files and model output for 38 countries.

Non-member countries involved in the activity:

Bosnia and Herzegovina, Bulgaria, Cyprus, Latvia, Lithuania, Macedonia, Malta, Republic of Serbia, Romania, Russian Federation, Slovenia.

Databases

Benefits and Wages

Main Developments for 2012

General aspects:

On-line publication of 2010 tax-benefit models, country files and an expanded range of work incentive and income adequacy indicators for 38 countries. Ad hoc update of policy summary tables. Development of 2011 models for 39 countries (adding Chile). Commence up-date of synthetic earnings distribution data, by gender, to latest post-crisis year available.

Data collection:

Include Chile.


2.6 International trade and balance of payments (OECD)
Creditor Reporting System (CRS) Aid Activity Database

Purpose

Provide Members of the Development Assistance Committee (DAC) and the international aid community a set of readily available basic data that enables analysis on where aid goes, what purposes it serves and what policies it aims to implement. The DAC uses the data for consideration of specific policy issues and for monitoring donors' compliance with various international recommendations in the field of development co-operation. Outside the DAC, the data is mainly used to analyse the sectoral and geographical breakdown of aid for selected years and donors or groups of donors.

Objectives and outputs

Improve consistency, presentation and coverage to reflect current development co-operation priorities and classifications. Continue work on converging DAC and CRS datasets. Improve reporting and timeliness at an activity level.

Since 2008 (reporting on 2007 flows) the CRS includes the Trade capacity Building Database (TCBDB) operated previously by WTO.

Databases

Creditor Reporting System (CRS) Aid Activity Database

Main Developments for 2012

General aspects:

No major changes.

Data collection:

No major changes.


Database on Country Programmable Aid (CPA database)

Purpose

Provide members of the Development Assistance Committee (DAC) and the international aid community a set of readily of available statistics on country programmable aid (CPA) flows. This new measure of aid comes much closer to capturing the flows received and recorded in country aid management systems than measures of total aid (ODA - official development assistance). CPA is estimated on the basis of the standard DAC statistics (DAC and CRS) and defined through exclusion, by subtracting from total gross ODA aid that is: unpredictable by nature (humanitarian aid and debt relief); entails no cross-border flows (administrative costs, imputed student costs, promotion of development awareness, and research and refugees in donor countries); does not form part of co-operation agreements between governments (food aid and aid from local governments); or is not country programmable by the donor (core funding of NGOs). The database provides reference data to DAC and other stakeholders for the analysis of fragmentation and planned forward spending of aid.

Objectives and outputs

To provide timely and comprehensive statistics on country programmable aid (CPA) for all countries and territories on the DAC List of ODA Recipients. To provide reference data for the annual Report of the Survey of Indicative Forward Spending Plans and for the annual Report on Division of Labour and global fragmentation.

Main Developments for 2012

General aspects:

Further strengthening the methodology to derive CPA.

Official and Private Resource Flows from DAC Members to Developing Countries

Purpose

The Development Assistance Committee (DAC) database provides comprehensive data on the volume, origin and types of aid and other resource flows to over 150 aid recipients. The data shows each aid recipient's receipts of official development assistance (ODA), other official flows and private flows from members of the DAC, multilateral agencies and other non-DAC donors.

Objectives and outputs

To provide timely and comprehensive statistics of official and private flows to all countries and territories on the DAC list of ODA recipients. Improve consistency, presentation and coverage to reflect current development co-operation priorities and classifications.

Update reporting guidance to maintain comparable statistics and improve reporting and comparability of statistics on the tying status of aid.

Support work on changing patterns of development finance and the increasing role of private flows.

Databases

Database on official and private resource flows from DAC Members to developing countries.

Main Developments for 2012

General aspects:

Continue with converging DAC data collections (CRS and DAC); propose converged directives for approval; further work on improving access to data, possible sharing of data with developing countries, and continuing help from Secretariat to members in improving statistical quality and timeliness.

Continue work on non-ODA flows which examines types of development financing other than ODA (non-concessional official loans inc. export credits, private flows inc. remittances, guarantee schemes). This analysis will focus on both the volume and developmental relevance of these flows.

DAC interest: DAC members afforded a high priority to this work during discussions of the PWB for 2011-2012, consequently (and based on the progress of work).

Data collection:

Improve types of aid reporting and convergence of DAC data collections (CRS+DAC).

Balance of Payments

Purpose

To collect and publish timely, accurate and internationally comparable Balance of Payments statistics to meet OECD user needs and in support of identified data needs.

Objectives and outputs

To provide timely summary quarterly statistics on Balance of Payments. To improve the efficiency of data collection, timeliness, international comparability and quality of the published balance of payments data on the MEI database. To contribute as appropriate to the OECD Quarterly Trade Press Release. To contribute to methodological work on Balance of Payments. To improve information on remittance flows to meet user needs. Integrate Enhanced Engagement countries.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

Balance of Payments
MEI_BOP

Main Developments for 2012

General aspects:

The SDMX coding for BOP in BPM6 including the extended Balance of Payments in Services classification will be elaborated in coordination with OECD/DAF and other International Organisations.

Data collection:

Improve the efficiency and timeliness of data collection. Find new data for non member countries.

International Coordination of trade in Services Statistics

Purpose

Given the wide variety of activities carried out by national and international organisations related to trade in service statistics, to improve coordination of international development work on trade in services statistics and facilitate a strategic view of priority needs. To provide an overview of these activities and facilitate communication between international expert groups involved. To identify overlaps, links and gaps in international work on methodological issues and data collection.

Objectives and outputs

In cooperation with UNSD, provide a report to the UN Statistics Commission (UNSC) on coordination of trade in services statistics, with proposals on strategy, as requested by UNSC.

Facilitate coordination on service statistics by providing central information point on services statistics developments, gathering information from active groups, and create and maintain web pages on international developments in services statistics.

Non-member countries involved in the activity:

Brazil

Main Developments for 2012

General aspects:

Continue to chair and coordinate the work of the Task Force on Statistics on International Trade in Services (TFSITS).Cooperate on the work related to the Trade in services compiler's guide.

International Trade in Goods

Purpose

To produce consistent and timely international trade data for OECD member countries and ensure methodological soundness and comparability of international trade data. To conduct research to improve the quality of the concepts underlying international trade data and play an active role in the development of international standards.

Objectives and outputs

Collects and maintains two databases for analytical use: (a) monthly data of exports and imports at current prices by partner countries and main categories of commodities, and volume and average value indices for selected countries and main categories; and (b) detailed annual data of exports and imports by commodities and by partner countries using three classifications (SITC, HS, ISIC).

Full implementation of the OECD-UNSD data sharing agreement covering all OECD member countries. A successful completion of the first phase (data collection and transmission to UNSD) of this initiative has already resulted in a reduction of the response burden for member countries and has led in 2006 to identical trade figures published by both the UN and the OECD (processed data). The OECD meeting of experts in international trade will continue to stimulate the exchange of views and research on methodological issues.

OECD continues to participate in and contribute to the Inter-Agency Merchandise Trade Task Force and manages, and moderates together with WTO, the EDG "Tradenet" on methodological and co-ordination issues affecting various national and international organisations.

Non-member countries involved in the activity:

Brazil, China, Chinese Taipei, Russian Federation, Slovenia.

Databases

International trade by Commodity Statistics
Monthly Statistics of International Trade

Main Developments for 2012

General aspects:

In 2012, data quality and timeliness of processed data should be further improved as it is planned to implement "data capture" checks in order to facilitate the upload of data into ITCS.

ITCS in OECD.Stat has continued stabilizing in 2011. For users efficiency results have been gained thanks to the better awareness of the possibility of a direct link to the trade data in the format of SQL tables. Also the architecture of ITCS with a direct link to OECD.stat has proven to function well with better performances and better timeliness.

In the context of the 2011-2012 bienium project of implementation of Unit value Indexes to the annual trade database, research will be continued on an outlier detection method that can fit with the data provided with the different members of the OECD

Data collection:

Concurrent use of the ITCS OECD-UNSD common data collection and processing system and the OECD trade ITCS in OECD.Stat. Full addition of ISIC classification.

International Trade in Services

Purpose

To provide detailed, relevant and internationally comparable data for trade policy and economic analysis. The information needs of international trade negotiations including the General Agreement on Trade in Services and the observed increase in internationalisation of services production are driving new developments.

Objectives and outputs

An annual joint effort publication with Eurostat and database: "OECD Statistics on International Trade in Services - Detailed tables by category of service". This covers the 34 member countries. Data are based on the concepts of the IMF's 5th Balance of Payments Manual (except for Australia that already moved to BPM6) and are broken down according to the detailed EBOPS Classification of Trade in Services with the exception of Australia which has started compiling information according to BPM6. The publication "OECD Statistics on International Trade in Services - Detailed Tables by Partner Country" provides bilateral service trade flows for 33 member countries, Hong Kong SAR and Russian Federation.

Coordinate the work of the Interagency Task Force on Statistics of International Trade in Services. Contribute to the Trade in services compilation Guide. Contribute to organisation of the WP on trade in goods and trade in services statistics.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

International trade in services by category of service (TIS)
OECD Statistics on International Trade in Services by Service Category and by Partner Country

Main Developments for 2012

General aspects:

The SDMX coding for BOP in BPM6 including the extended Balance of Payments in Services classification will be elaborated in coordination with OECD/DAF and other International Organisations.

Facilitate to the extent possible links between the classifications EBOPS and ISIC.

Continue Implementing EBOPS 2010 in Statworks and upload countries that have adopted the new standards.

Improve the timeliness, with rolling updates, and detail of published data. Monitor progress in the implementation of MSITS recommendations.

Contribute to OECD analytical work and in particular work closely with TAD and STI on data needs for the Services Trade Restrictiveness Index. Improve estimates of world trade flows of services.

Cooperate with Eurostat to collect and make available as far as possible partner country data on remittances.

Develop cooperation with UNSD and other agencies on data sharing in trade in services.

Initiate merge of the Trade in Services by category and by partner country in order to save resources to be allocated to the development of databases and metadata related to the new standards.

Cooperate with WTO to elaborate the annual World Matrix of bilateral services flows.

Data collection:

Pursue rolling update of trade in services by partner country data as data become available. Countries that are sent an excel questionnaire will be asked to fill it in. A second best would now be for them to provide us with their data in an SDMX format.

Joint OECD/UNSD Annual Trade System

Purpose

Maintain International Trade Database to manage Annual and Monthly statistics in collaboration with the United Nations Statistics Division.

Objectives and outputs

Technical maintenance and small enhancements to the system.

Main Developments for 2012

General aspects:

Technical maintenance and small enhancements.

Monthly International Trade

Purpose

To produce consistent and timely international trade data for OECD member countries, ensure methodological soundness and comparability of international trade data, conduct research to improve the quality of the concepts underlying international trade data and play an active role in the development of international standards.

Objectives and outputs

Collect data and maintain database for analytical use: monthly data of exports and imports at current prices by partner countries and main categories of commodities, and volume and average value indices for selected countries and main categories. Continuous and close co-operation with key users at OECD. Updating cycles optimised to respond to needs of Economic Outlook. Online availability of OECD's detailed international trade data. OECD continues to actively participate and contribute to the International Trade Task Force (Inter-Agency TF).

Non-member countries involved in the activity:

Slovenia

Databases

Monthly Statistics of International Trade (MSIT)

Main Developments for 2012

General aspects:

No major changes.

Services Trade Restrictiveness Index

Purpose

The STRI database will be a unique resource providing internationally comparable current information on regulatory policies affecting trade in services.

Objectives and outputs

The main achievements for 2011 are:

• Complete refinement of the entire regulatory database;
• Verification of 95% of the OECD member countries and complete verification of 50% of them;
• Extension to 6 new sectors;
• Countries and experts are now convinced of the utility of such a tool.

Non-member countries involved in the activity:

India, Slovenia.

Main Developments for 2012

General aspects:

The regulatory database for the pilot sectors should be finalised during the first half of 2012. A first version of the interface developed by the OECD for dissemination of qualitative information should The coverage of the new sectors has already started for 30% of the countries.

STAN Bilateral Trade Database by Industry and End-use (BTDIxE)

Purpose

The STAN Bilateral Trade Database by industry and end-use (BTDIxE) is a new tool for analysing global production networks. This database presents international trade in goods broken down both by industrial sectors and by end-use categories for the period 1995-2010, allowing, for example, insights into the patterns of trade in intermediate goods between countries to track global production networks and supply chains, and helping to address policy issues such as trade in value added and trade in tasks. In particular, it is designed for linking OECD Input-Output tables to allow development and user of inter-country I-O models.

BTDIxE is an extension of the "traditional" BTD - maintained since the mid-1990s and covering total trade by industry only. The BTDIxE industry list provides sufficient detail to enable users to highlight high-technology sectors and is compatible with those used in related OECD databases. The end-use category list includes the three broad SNA categories: capital goods, intermediate goods and household consumption.

Objectives and outputs

A first version of BTDIxE was released at the end of 2011 together with documentation in the form of STI Working Paper (DSTI/DOC(2011)6. Figures provided for all OECD countries and 30 non-OECD countries. Data to 2010 for 56 out of 64 countries.

To build the data set, 8 conversion keys were developed - from each version of HS (1988, 1996, 2002 and 2007) to both ISIC Rev.3 and End-uses (via BEC).

Non-member countries involved in the activity:

Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Croatia, Cyprus, Hong Kong, India, Indonesia, Latvia, Lithuania, Macedonia, Malaysia, Malta, Moldova, Other, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand.

Databases

STAN Bilateral Trade Database by Industry and End-use (BTDIxE)

Main Developments for 2012

General aspects:

• Complete update to 2010 for all countries;
• Include trade flows adjusted for Hong Kong re-exports;
• Undertake further country specific adjustments as required;
• Add countries / country groups according to demand;
• Embark on development of new trade indicators based on BTDIxE;
• Draft paper based on analytical use of BTDIxE;
• Develop and implement a concordance key for converting HS product data to ISIC Rev. 4.

Trade by enterprise characteristics

Purpose

To measure, on the one hand, the contribution of real economic sectors to international trade, and on the other hand, to complement business data with detailed information on trade, which is traditionally not part of business statistics.

Objectives and outputs

Under guidance of the Business Economic Statistics and Trade (BEST) Steering Group, a first OECD Linkage Table, which is based on Eurostat's Standardisation Document Rev. 2, was sent out to participating Non-EU-OECD member countries. Up to now, OECD has received data collection tables from Canada, Israel, Norway and the United States. In addition, Eurostat provided OECD with the respective (published) data tables of several EU member states for reference years 2005-7. After reclassification of the Eurostat data to OECD standards (ISIC and CPC classifications, USD currency and OECD geo-nomenclature), these were integrated to the Trade by enterprise characteristics (TEC) database of the OECD, available in the globalisation cube of OECD.Stat.

Databases

Trade by Enterprise Characteristics

Main Developments for 2012

General aspects:

In 2012, the data collection will include more recent reference years and more countries, by inviting a wider group of OECD member countries. A close cooperation with Eurostat will be maintained.

The Handbook on Trade Microdata is expected to be completed in 2012 and submited to the BEST Steering Group.


2.7 Prices (OECD)
Price Indicators

Purpose

To provide a set of relevant, reliable, timely, monthly and quarterly price indices (CPI and Producer Price Indices) for internal and external users. To provide methodological information on these price indices.

Objectives and outputs

• The 'Price Indices' dataset in the Main Economic Indicators (MEI) database contains statistics on Consumer prices, Producer prices and Construction costs for 34 OECD member, Russian Federation and 5 B(R)IICS countries. The data series presented within these subjects have been chosen as the most relevant prices statistics in the MEI database for which comparable data across countries is available. In all cases much effort has gone into ensuring international comparability and into the availability of historical time-series for analysis.
• Revision of the Methodological guide for developing producer price indices for services.

Databases

MEI
MEI_PRICE

Main Developments for 2012

General aspects:

• Finalisation of the Methodological guide for developing producer price indices for services with a view to finalising work in 2012.
• Continue to improve the dissemination of price indices.

Data management:

Harmonisation of metadata across countries and introduction of new inflation measures.

Purchasing Power Parities

Purpose

Produce reliable and timely Purchasing Power Parities (PPPs) data for OECD member countries. PPPs are an important tool to compare levels of real income or real output across countries with indicators such as GDP per capita and relative price levels between countries.

Objectives and outputs

• Organisation of the data collection for the 2011 round which started in 2009 and covers 47 countries (30 OECD countries and 17 non-member countries).
• Work closely with Eurostat to further harmonise the methodology employed. Participate in the ad-hoc task forces set up by Eurostat to discuss various issues associated with PPPs 9Revision of the (PPP manual).
• Provide technical input into the 2011 round of the ICP currently being organised by the World Bank.
• Work closely with ELS on devleoping a new methodology for health specific PPPs (publication of a WP on hospital price levels).

Databases

ANA
Purchasing Power Parities

Main Developments for 2012

General aspects:

Finalise the methodology to calculate specific PPPs for health for all countries participating in the Eurostat-OECD PP manual.

Provide technical input into the 2011 round of the ICP currently being organised by the World Bank.

Publication of the revised OECD Eurostat-OECD PPP manual.

Calculation of the preliminary results of the 2011 Round.


2.9 Science and technology (OECD)
Analytical Business Enterprise Research and Development

Purpose

To provide a consistent and comparable data set across countries and over time on industrial R&D expenditures broken down by industry.

Objectives and outputs

The ANBERD (Analytical Business Enterprise Research and Development) database is continually revised to enhance the international comparability of time series on business enterprise R&D expenditure (BERD) by industry.

Non-member countries involved in the activity:

China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Analytical Business Enterprise Research and Development (ANBERD)

Main Developments for 2012

General aspects:

In 2011 the country coverage was expanded and improved data processing and checking routines were implemented. In 2012, the estimation techniques for missing data will continue to be improved and preparations will be made for the forthcoming move to ISIC Rev.4.

Data management:

Adapt the data production system to move from ISIC Rev3. to Rev4.

Biotechnology

Purpose

To establish international standards for the collection of biotechnology data across OECD member countries.

Objectives and outputs

Under the auspices of the National Experts of Science and Technology Indicators (NESTI) group, six Ad hoc Biotechnology Statistics meetings have been held to date. These meetings have achieved: an internationally agreed upon definition of biotechnology, a model survey for the collection of biotechnology data in member countries, and an inventory of biotechnology data collected in member and selected non-member countries.

OECD Biotechnology Statistics was released in 2009.

Key Biotechnology Statistics is updated annually and published online.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa, Thailand.

Main Developments for 2012

General aspects:

Additional countries.

Careers of Doctorate Holders

Purpose

Collect data on the labour market outcome and mobility of doctorate holders.

Objectives and outputs

Collect data and update internal database, use data for analysis at the macro level, launch work using micro-data with interested countries, evaluate data collection and revise methodology accordingly.

Non-member countries involved in the activity:

Bulgaria, Chinese Taipei, Croatia, Latvia, Lithuania, Malta, Romania, Russian Federation.

Databases

Indicators on Careers of Doctorate Holders

Main Developments for 2012

Data management:

New dataset.

Main Science and Technology Indicators

Purpose

To publish biannually the most commonly used indicators on science and technology on an internationally comparable basis. The database and publication are regularly updated with 76 (paper publication) to 140 (electronic publication) data series presenting resources devoted to R&D and measures of output and the impact of S&T activities.

Objectives and outputs

This biannual publication provides a set of indicators that reflect the level and structure of the efforts undertaken by OECD member countries and 7 non-member economies in the field of science and technology. These data include final and provisional results as well as forecasts established by government authorities. The indicators cover the resources devoted to research and development, patent families, technology balance of payments and international trade in highly R&D intensive industries. Also presented are the underlying economic series used to calculate these indicators. Series are presented for a reference year and the last six years for which data are available (paper publication) and beginning 1981 (electronic editions).

Non-member countries involved in the activity:

Argentina, China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Main Science and Technology Indicators

Main Developments for 2012

Data management:

MSTI database production system: migration from StatWorks to SAS software (2010-Q4).

Patent Statistics

Purpose

To develop an international statistical infrastructure for patents (including databases and methodologies), which will provide the conditions for improving the quality and international comparability of patent indicators. Development of policy-relevant indicators from this work. Serves as a basis for policy relevant studies carried out within and outside OECD.

Objectives and outputs

The main objective is to develop patent databases suitable for calculating indicators for statistical and S&T/Entrepreneurship policy purposes, covering patent filings to national and regional patent offices across the world.

Currently, the following patent statistics are collected and processed on a regular basis: indicators based on EPO (European Patent Office) patent; indicators based on USPTO (US Patent and Trademark Office) patents; indicators based on patent applications filed under the PCT (Patent Co-operation Treaty) and "triadic" patent families indicators. EPO and PCT data are also broken at the lowest regional level (NUTS3/TL3) for all OECD countries and selected economies.

Patent statistics are published in various publications: Main Science and Technology Indicators; OECD Science, Technology and Industry Scoreboard; OECD Science, Technology and Industry Outlook and in the Statistical compendium of the Innovation Strategy

"Measuring innovation: a new perspective".

The focus of the methodological work is to provide guidelines for compiling patent statistics and indicators, and to provide users with methodological information in a transparent manner. The following issues have been investigated: criteria for counting patent data; triadic patent families' definition; patent data for specific technology area; patent data by industry, patents by region and patent citations. The OECD Patent Statistics Manual 2009 provides further guidelines for analysing and building patent statistics in the framework of S&T indicators.

A matching exercise is currently being performed at the micro-data level, linking the patent data to the firm level databases (e.g. ORBIS database of Bureau van Dijk) using the patent applicant name. A database on harmonised patent applicant's names (HAN) is available to researchers. It is currently being improved and expanded, and is used to build new indicators at the firm level.

Similar work is also conducted for other intellectual property assets such as Trademarks.

Regular conferences on IP-related statistics are jointly organised by OECD, EPO, USPTO, JPO, WIPO and Eurostat.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Europe, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.

Main Developments for 2012

General aspects:

Updating the existing patent database; extending the data coverage (i.e. to include information from more national patent offices); expand the exercise of harmonising patent applicant's names and matching with firm-level databases, development of further patent indicators (reflecting globalisation, specific technologies); development of citations indicators, development of further analytical applications of patent data, patents by industry.

Increased use by other directorates (e.g. ECO, ENV, GOV, STD) expected in 2012.

Further work to develop Trademark data are also expected.

Another matching exercise is experimented to link patent data (with the citations of non-patent literature) to scientific publication data (using Elsevier's SCOPUS database).

Research and Development (R&D) Statistics

Purpose

To provide internal and external users with statistics on R&D expenditures and personnel and to ensure, through appropriate methodological work, the international comparability of corresponding national statistics.

Objectives and outputs

Management and/or development of internationally comparable statistics on resources devoted to R&D in member countries and in seven non-member economies based on the OECD international methodology for R&D survey, the "Frascati Manual". Diffusion of S&T statistics and corresponding metadata via the annual "R&D Statistics" and the biannual "Main S&T Indicators" publications and the on-line "R&D Sources and Methods database". The country coverage of OECD S&T databases and publications is being expanded to include comparable S&T indicators and statistics for non-member economies such as Argentina, China, Romania, Russia, Singapore, South Africa and Chinese Taipei.

Non-member countries involved in the activity:

Argentina, China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Research and Development Statistics (RDS)

Main Developments for 2012

General aspects:

Plan to publish ISIC Rev. 4, depending on the availability of data at the national level.

Sources and Methods for Research and Development (R&D) Statistics

Purpose

To meet demand for country-specific and item-specific methodology, this database relates principally to R&D as reported by the units performing the R&D in line with the standard methodology for R&D statistics recommended by OECD in the Proposed Standard Practice for Surveys of Research and Experimental Development - Frascati Manual (OECD).

Objectives and outputs

The database provides detail on methods used in the member countries and seven non-member economies when compiling the R&D data reported to OECD in the framework of the International Survey of the Resources devoted to R&D by OECD countries, underlining both current and historical national specificities of the data stored in the OECD STI/EAS R&D database. The sources and methods are regularly updated as part of the International Survey of the Resources devoted to R&D by OECD countries. The Secretariat has made this database available on line either through the NESTI-NET: http://webdomino1.oecd.org/COMNET/STI/NESTI-NET.nsf/Welcome?openframeset, or via http://webnet.oecd.org/rd_gbaord_metadata/default.aspx where delegates and the public are able to consult.

Selected metadata are regularly published in "Research and Development Statistics" (annual electronic publication) as well as in "Main Science and Technology Indicators" (paper and electronic publication appearing twice yearly). This information was also used as input to the revision of the "Frascati Manual", the international standard methodology for the measurement of resources devoted to R&D.

Non-member countries involved in the activity:

Argentina, China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

R&D_SM database



2. Economic Statistics (OECD)
2.1 Macroeconomic statistics (OECD)
STAN Database for Industrial Analysis

Purpose

To provide a comprehensive database tool for cross-country analyses of industrial performance (competitiveness, productivity etc.) and structural change at a relatively detailed level of activity.

Objectives and outputs

The STAN database for industrial analysis provides analysts and researchers with a comprehensive tool for analysing industrial performance at a relatively detailed level of activity across countries. It includes annual measures of output, labour input, investment and international trade which allow users to construct a wide range of indicators to focus on areas such as productivity growth, competitiveness and general structural change. The industry list provides sufficient detail to enable users to highlight high-technology sectors and is compatible with those used in related OECD databases.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

STAN Database for industrial Analysis

Main Developments for 2012

General aspects:

Development and production of a new version of STAN based on ISIC Rev. 4. with statistics to 2010. Inclusion of non-Member countries, where possible. Closer cooperation with EU KLEMS project in particular and World KLEMS project in general. Comprehensive STAN documentation in form of STI Working Paper.

Business Tendency and Consumer Opinion Surveys

Purpose

To collect and disseminate business tendency and consumer opinion survey data for OECD member countries and selected non-member economies. To promote wider use of business tendency and consumer opinion surveys in OECD member countries and selected non-member economies.

To develop international statistical standards and to encourage scientific research in this field of statistics.

Objectives and outputs

This activity involves the ongoing collection and publication of an extensive range of business tendency and consumer opinion survey data and related metadata from OECD member countries and the BRIICS.

The survey data are published in the OECD's monthly Main Economic Indicators (MEI). Data collection is co-ordinated with the European Commission, with the OECD taking primary responsibility for data collection from national sources only for non-EU OECD member countries and the BRIICS.

During the year 2010 the OECD evaluated the possibility to renew its existing international guidelines and recommendations. In co-operation with UNSD, the European Commission and CIRET it surveyed current availability of tendency sureveys internationally and the level of harmonization and adherence to existing guidelines. For 2011 the OECD will start the review of its Business Tendency Surveys handbook last revised in 2003.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

MEI_BTS_COS

Main Developments for 2012

General aspects:

A review of the code structure in the production database, and a consequent update of production flows.

Composite Leading Indicators

Purpose

To compile and disseminate the OECD composite leading indicators for OECD member countries and for the BRICS NMEs + Indonesia, which help analysts to assess the cyclical phase of the OECD economies and forecast its future development.

To do methodological development work and carry out scientific research in this field.

Objectives and outputs

OECD Composite Leading Indicators (CLI) are published in the monthly Main Economic Indicators publication and in a monthly press release.

The quality of existing CLIs is monitored and enhanced on an on-going basis, including the expansion of country coverage for both OECD member and non-member countries, and the development of new tools in the research software for cyclical analysis and composite indicators.

Main achievements in 2010 were the finalization of a distributable package of the production system (CACISd), setting up the dissemnination website in Clearspace, with the goal of reinforcing transparency.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

MEI_CLI

Main Developments for 2012

General aspects:

Update CLIs for selected OECD member countries.

A pilot project testing the multivariate direct filter approach for CLI caluclation in co-operation with prof. Marc Wildi.

Changing the reference series at the core of the CLI from IIP to GDP.

Data collection:

Inclusion of additional series required for the compilation of CLIs for Brazil, China, India, Russian Federation and South Africa and for OECD member as a result of on-going review of CLI component series for each country.

Data management:

Incorporation of more detailed metadata on CLI compilation methodology in MetaStore.

Main Economic Indicators

Purpose

The OECD's Main Economic Indicator (MEI) database provides a wide range of short-term economic indicators (and associated methodological information) for OECD member and non-countries to meet the on-going requirements of a number of internal OECD users.

Objectives and outputs

Maintaining the Main Economic Indicators (MEI) database, which contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member and for all Enhanced Engagement economies on a wide variety of economic indicators for use by economic analysts, policy makers and business.

Indicators in the MEI database include: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.

There is an on-going process of review to revise the contents of the database in order to maximise the relevance of the database for short-term economic analysis, for example, through the inclusion of new indicators reflecting new areas of analysis and policy making. Enlarging coverage also entails working with other international organisations such as IMF, ILO, ECB and Eurostat in the development of effective international standards for the presentation of statistical methodological information (metadata), and increasing the coverage and quality of statistical metadata, whilst at the same time minimising the reporting burden of member countries.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

Main Economic Indicators (MEI)

Main Developments for 2012

General aspects:

The ongoing implementation of a MEI Review undertaken in 2010 at the request of the Director.

Data collection:

On-going processes to improve the efficiency and timeliness of data capture processes.

There will also be expanded use of data from Eurostats NewCronos database and the IMF's IFS. Greater efforts will also be made to implement data and metadata exchange standards developed under the SDMX initiative.

Real-time and Revisions Database

Purpose

To make freely available on the OECD website a "real-time" database with associated revisions analysis of key short-term economic statistics derived from historically published monthly snapshots of the OECD Main Economic Indicators database.

Objectives and outputs

The concept of a real time database is to provide an information set of short-term economic statistics that would have been available to analysts at a specific point in time for the purpose of testing the likely effectiveness of econometric models in real-time. It also provides the opportunity to perform revisions analysis - i.e. to study the magnitude and direction of subsequent revisions to published statistics. A database containing MEI vintage from 1999 was developed and published on the OECD website in 2006.

The portal also provides a broader context on the issue of revisions. This primarily take the form of the revisions framework (outlining the reasons for data revision) formulated by the IMF and of the recommendations published in the OECD "Data and Metadata Reporting and Presentation Handbook".

Updated revisions analysis of GDP and a comparision of revisions between seasonally adjusted and raw series were performed in 2007 and presented at the STESWP and National Accounts working parties, and also at a number of international conferences where the database was also promoted.

Main Developments for 2012

General aspects:

No major changes.

Short-Term Financial and Real Indicators

Purpose

To capture in quantitative terms an important but heterogeneous and fast evolving area in globalisation of the financial markets and increased sophistication of the actors and activities in these markets.

To provide short-term economic indicators of production, sales, orders, work started and in progress and stocks for OECD member countries and selected large emerging non-member economies.

Objectives and outputs

The Financial Indicators dataset contains financial statistics on six separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, Reserve Assets, International Trade, and Share Prices. In all cases considerable effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series' data to aid with analysis.

All the subjects under Real Indicators are classified under the following six top headings: Production, Sales, Orders, Work started, Work in progress, Stocks. Within each heading, indicators are further classified according to economic activities.

Non-member countries involved in the activity:

Brazil, China, Indonesia, Russian Federation, South Africa.

Databases

MEI_FIN


2.2 Economic accounts (OECD)
Institutional Investors' assets

Purpose

This data collection integrated in the framework of the SNA covers detailed assets (including a breakdown of resident/non resident data) for a number of institutional investors (more detailed than in the SNA93). Its aim is to have more detailed information on the activities of the institutional investors (not covered by the SNA) in OECD Member countries.

An additional questionnaire is sent yearly to OECD countries in parallel with the OECD/Eurostat joint questionnaire on Financial Accounts.

Objectives and outputs

The database has been updated up to 2010, for all OECD countries and Russia.

Improvements in the coverage of the database have been achieved.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Institutional Investors' assets

Main Developments for 2012

General aspects:

Update and continuous improvement of the coverage, including an extension to non-member countries (EE5 and other G20).

Depending on resources allocated to the unit, quarterly data will be processed when available and used to calculate indicators.

Data collection:

Improvement of the coverage of the database.
Depending on available resources, quarterly data will be processed.

Data management:

The methodological information currently available in WORD documents might be stored in Metastore using links to these documents, when resources permit.

Human Capital Accounts

Purpose

To develop an agreed methodology for producing monetary estimates of Human Capital for the purposes of international and inter-temporal comparisons.

Objectives and outputs

A working paper that summarises the outcomes of the first phase of the project was released in October 2011 (OECD STATISTICS WORKING PAPER SERIES No. 41).

Non-member countries involved in the activity:

Romania, Russian Federation.

Main Developments for 2012

General aspects:

1. Preparing an in-depth review of country practices in human capital measurement. This review is undertaken under the auspices of the UNECE Conference of European Statisticians (CES) and is being chaired by Geoff Bascand, Statistics New Zealand; as part of this review, we plan to circulate a 'country questionnaire' to document country practices and initiatives.

2. Documenting the OECD methodology and data sources in a technical report.

3. Drafting a working paper based on joint work with the World Bank on national wealth accounting by using direct estimates of human cpaital generated from the OECD project.

4. If available, extending the methodology to additional countries and years.

Annual Financial Accounts

Purpose

To provide unique data sets of harmonised data on annual financial accounts and annual financial balance sheets of OECD countries, according to SNA 1993, to analysts and policy makers.

Objectives and outputs

This activity mainly focuses on the collection of comparable quantitative and qualitative information on annual financial transactions carried out and on annual financial stocks held by institutional sectors of the economy in the OECD member countries.

The main objectives are to improve the quantity and the quality of information on OECD financial accounts (transmission of timely, reliable and consistent data) and to disseminate comparable tables on financial accounts (transactions) and financial balance sheets (stocks).

Russia and EE5 countries' data will be included in the databases when available.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Annual Financial Accounts (ANA)

Main Developments for 2012

General aspects:

The database on annual Financial Accounts and Financial Balance Sheets will continue to be improved. All OECD countries are now covered. For some countries however, the sectoral coverage has still to be extended while for some countries, additional datasets (flows or stocks, consolidated or non-consolidated) will continue to be required.

Data for Russia, for the EE5 countries, and for additional G20 countries (Argentina and Saudi Arabia) will be included when available.

Detailed methodological information relating to Financial accounts and Financial balance sheets should be updated and included in Metastore.

Data collection:

Historical data will be added to the database as soon as countries send them. Data which are still missing for some Member countries will continue to be requested and included in the databases.

Data for Russia will be integrated (if provided) in the OECD databases; depending on resources, data for some non-Member countries (EE5 and G20) will be asked and processed according to their availablity.

Moreover, following conclusions of the 2009 and 2010 WPFS meetings, financial indicators based on financial accounts and balance sheets, and on the two other SNA-related database (on Households and Institutional investors) will be calculted and disseminated.

Data management:

Financial indicators based on these datasets are calculated and are the object of another activity: OECD Financial Indicators.

A new database system now hosts quarterly data: see the new activity Quarterly Sector Accounts (Financial part).

Annual National Accounts

Purpose

To provide, on an internationally comparable basis, a timely update of annual national accounts data to internal and external users for analytical purposes.

To provide a forum of international exchange on national accounts standards, in order to improve the relevance of SNA 93 and enhance international comparability.

Objectives and outputs

The annual national accounts database (SNA) presents a consistent set of data mainly compiled on the basis of the 1993 System of National Accounts. It contains data from 1970 whenever possible for OECD member countries.

Main series of the SNA database are presented using an "indicator" approcah in the publication National accounts at a Glance, focusing on cross-country comparisons. In this publication each indicator is associated to a text which explains in general terms of what is measured and why.

Non-member countries involved in the activity:

China, India, Indonesia, Russian Federation, South Africa.

Databases

Annual National Accounts (ANA)

Main Developments for 2012

General aspects:

Extend the collection of data from EE countries to Brazil.

Economics Department Analytical Data Base (ADB)

Purpose

Management, co-ordination and provision of statistical data sets in support of Economics Department work described under Theme 1 (Economic Growth, Stability and Structural Adjustment). Primarily as input to the Economic Outlook assessment process, ensure timely and consistent updating of the body of largely macroeconomic statistics and calculation of subsidiary concepts necessary for corresponding analytical activities. Checking methodological soundness and consistency of data definitions against the analytical needs of the Department and in particular Country Desks. Development and maintenance of related programmes, definitions and procedures and associated metadata systems in support of analytical users.

Objectives and outputs

Maintains relevant Analytical Data Bank in support of relevant needs of ECO's macro analytical work, notably with respect to the data needs of the OECD Economic Outlook. In conjunction with STD and other statistical groups, co-ordinates, manages and extracts the relevant annual and quarterly data sets from available sources within the OECD (mostly STD), National Administrations and related publications. The primary database covers a range of statistical concepts relevant, in particular, to the assessment of the world's economic situation and developments in member country economies. These include a wide range of national accounts, wage, price and labour force, fiscal and financial accounts, exchange rates, international trade and balance of payments concepts reported on a variety of frequencies. Basic definitions and requirements are those of the economists in the Policy and Country Studies branches. The relevant statistics are used routinely in the analysis incorporated in documents for the Economic Policy and Economic Development Review Committees and are reported as supporting material in the corresponding OECD publications - the twice yearly OECD Economic Outlook and the OECD Country Survey series. The Economic Outlook data set is also disseminated as an OECD data product.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Economics Department Analytical Database

Main Developments for 2012

General aspects:

Main changes in content relate to the progressive inclusion of relevant statistics for the Accession and Enhanced Engagement countries over the coming year. New indicarors to help monitoring analysis will be introduced. Main technical changes in the past and coming year relate to the continuing migration to the ADB to ECO's time series data management system, incorporating direct links to in-house source data bases and the MetaStore system, the integration of Economic Outlook publications data base within the OECD.Stat system and the incorporation of relevant production metadata within MetaStore for internal and external use.

Data management:

Development of metadata link based HELP system within data management system, revisions to control and access rights for users outside of ECO.

General Government National Accounts

Purpose

To provide, on an internationally comparable basis, a timely update of annual national accounts data for the sector of general government and sub-sectors to internal and external users. This covers detailed revenues and detailed expenditures by function of general government and subsectors.

Objectives and outputs

The project on general government national accounts began in September 2003. There are three objectives of the project: (1) improve the transmission to and dissemination by the OECD of timely and detailed data on general government; (2) enhance the comparability of the major aggregate results for general government such as general government deficit/surplus and/or general government debt.

Data are made available to member country government agencies on OLISnet thanks to OECD.Stat and to the public through dissemination in OECD.Stat and tables freely available on Internet.

Non-member countries involved in the activity:

Russian Federation, Slovenia.

Databases

ANA - SNA
Annual National Accounts (ANA)

Main Developments for 2012

General aspects:

Extention the collection of data for EE countries, in particular for Brazil, India.

Household Assets and Liabilities

Purpose

This data collection aims at better knowing the households' behavior vis-à-vis risks and enables studies on the distribution of households' wealth. It refers to the SNA sector S14 - Households.

An additional questionnaire is sent yearly to OECD countries in parallel with the OECD/Eurostat joint questionnaire on Financial Accounts.

Objectives and outputs

The database has been updated up to 2010 for all OECD countries.

A better coverage of financial and non-financial assets and on detailed liabilities currently transmitted by OECD countries has been achieved.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Household Assets and Liabilities

Main Developments for 2012

General aspects:

It is expected to further improve the coverage (assets and liabilities) of the database and to extend the geographical coverage to non-member countries (Russia, EE5 and G20).

When resources permit, quarterly data will be processed and used to calculate financial indicators.

Data collection:

Improvement of the coverage of the database.
Depending on resources allocated to the unit, quarterly data will be processed.

Data management:

The methodological information currently available in WORD documents might be stored in Metastore using links to these documents, when resources permit.

National Accounts for Non-member Economies

Purpose

To cooperate with non-member countries not included in the Quarterly National Accounts database and incorporate these countries into the standard OECD MEI data collection and dissemination program.

Objectives and outputs

Provide users with non-member national accounts data.

Non-member countries involved in the activity:

China, India.

Databases

National accounts and prices for non-member countries

Main Developments for 2012

General aspects:

To remove these countries once they are incorporated into the QNA database. Only Two countries remain: China and India. This activity will finish in 2012.

OECD Financial Dashboard

Purpose

The recent financial and economic crises have underlined the importance of monitoring financial activity and position of the various institutional sectors of national economies.

The OECD Financial Dashboard has been created to respond to users' questions and needs for relevant indicators based on timely, frequent and comparable financial statistics.

Objectives and outputs

The financial indicators are constructed from financial accounts and from financial balance sheets to analyse the behaviour and performance of the various institutional sectors and to carry out cross-country comparisons.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

OECD Financial Dashboard

Main Developments for 2012

General aspects:

New activity.

Data collection:

New activity.

Data management:

New activity.

Productivity/Capital Services

Purpose

Four OECD Directorates have co-operated to produce a data set for productivity measures, a widely-used indicator of economic performance. The purpose of this activity is to bring together, in one place, the results of this work and make available various productivity measures as well as relevant methodological information such as the OECD Manual on Measuring Capital. The series on capital services, multi-factor productivity (MFP) and GDP per hour worked are a standard input into the Economic Department's estimate of potential output. In 2011, the OECD Productivity database by industry has been released and provides regularly updated productivity estimates by industry.

Objectives and outputs

Labour productivity indices for 30 countries and a set of capital services and multi-factor productivity measures for 20 countries are regularly updated and are available on OECD.Stat. Recent methodological developments concerned both the development and the release of multi-factor productivity estimates by industry in the OECD STAN STructural ANalysis Database and research on total economy productivity measures. A major achievement in 2011 was the publication of the OECD Productivity database by Industry (PDBi). PDBi data are updated on a regular basis and allow international comparisons in industry-level MFP measures and are fully compatible with data compiled in the STAN database.

Databases

Productivity by industry
Productivity/capital services database

Main Developments for 2012

General aspects:

In 2012, the productivity database at the whole economy level and the productivity database by industry will continue to be updated regularly with the aim to increase the number of available countries. Methodological developments will concern productivity indicators at the total economy level and productivity estimates by industry.

The Productivity database by industry will move to ISIC Rev.4.

Data management:

Productivity by Industry data where published for the first time in 2011. The move to the International Standard Industrial Classification of All Economic Activities, ISIC Rev.4 is planned for 2012, according to the release of an ISIC Rev.4 version of the OECD STAN database.

Quarterly National Accounts

Purpose

1. To provide a real time update of member and non-member countries' sets of quarterly national accounts to internal users, mainly the OECD Economics Department. Quarterly national accounts constitute a significant input into the OECD's macro-economic modelling and forecasting work.

2. To provide external users a selection of key long time series from countries' quarterly national accounts, some area totals and a consistent and internationally comparable set of data for analytical purposes.

Objectives and outputs

The OECD Quarterly National Accounts (QNA) database presents data collected from countries on the basis of a standardised OECD/Eurostat questionnaire based on SNA 1993/ESA 1995. It contains, as from 1960 whenever possible (and even before for a few countries), a wide selection of the accounts produced by the 34 member countries covering accounts at the level of the overall economy and some institutional sectors accounts.

Work is concentrated on producing relevant, reliable, consistent, comparable and timely quarterly national accounts for member countries and a few non-member economies.

The QNA publications contain a selection of the accounts most widely used for economic analysis: GDP - expenditure and output approaches (current prices and volume estimates), GDP income approach (current prices), Saving and net lending (current prices), Gross fixed capital formation (current prices and volume estimates) broken down separately by type of asset and by institutional sector, Disposable income and Real disposable income components, Population and Employment, Compensation of employees by industry, Employment by industry, Household final consumption expenditure (current prices and volume estimates) by durability and by purpose.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Quarterly National Accounts (QNA)

Main Developments for 2012

General aspects:

Continue to extend the coverage of the database by the inclusion of new accounts/series provided by countries.

Expand the geographical coverage of the QNA database by including more updated data from Enhanced Engagement (EE) countries,

and possibly remaining G20 countries (Argentina and Saudi Arabia).

Data collection:

Extension of the statistical content (new accounts, new sets of chained volume estimates, new seasonally adjusted series) and the time coverage (historical series) to take account of the development of QNA made in countries.

Extension of the country coverage (EE countries and remaining G20 countries).

Encourage non-EU countries to provide QNA data in SDMX format.

Source EU data directly from Eurostat validated data.

 

Quarterly Public Sector Debt

Purpose

This new database has been launched in the framework of a coordinated activity with the World Bank and the IMF to respond to the G20 Data Gap Initiative (Recommendation 18).

Objectives and outputs

Collect detailed and comparable quarterly data on the General Government Debt, the Central Government Debt and more broadly the Public Sector Debt.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Quarterly Public Sector Debt (7PSD)

Main Developments for 2012

General aspects:

New activity.

Data collection:

New activity.

Data management:

Creation of this dataset and updates.

Quarterly Sector Accounts (Financial part)

Purpose

To provide financial quarterly sector accounts data of member and non-member G20 countries for internal and external users.

The G20 Recommendation 15 has identified Sector accounts (annual and quarterly) as essential statistics to monitor economies.

The OECD is responsible for collecting and disseminating detailed quarterly sectoral accounts for OECD member countries and other non-member G20 countries.

Objectives and outputs

Quarterly financial accounts and quarterly financial balance sheets have been collected in 2011 for the first time and stored in the new QASA browser during the 4th quarter of 2011.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Quarterly Financial Accounts and Financial Balance Sheets

Main Developments for 2012

General aspects:

New activity in 2012.

Data collection:

New activity.

Data management:

New activity.

Quarterly Sector Accounts (Non-Financial)

Purpose

To provide non-financial quarterly sector accounts data of member and non-member G20 countries for internal and external users.

The G20 Recommendation 15 required identified Sector accounts (annual and quarterly) as essential statistics to monitor economies.

The OECD is responsible for collecting and disseminating of detailed quarterly sectoral accounts for OECD member countries and other non-member G20 countries.

Objectives and outputs

Continue to collect non-financial Quarterly Sector Accounts (QSA) data for EU countries in close collaboration with Eurostat; Collect non-EU QSA data through questionnaires. Release QSA data on OECD.stat for the countries that give permission to publish the data.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Non-financial Quarterly Sector Accounts

Main Developments for 2012

General aspects:

Collecting QSA data for EU countries that have not given permissions to the Eurostat for transmitting such data to the OECD, such as France and Germany.

Collecting data from non-EU countries that has not transmitted data to the OECD.

Releasing publishable QSA data on OECD.Stat.

Contribute to the IMF for releasing G20 QSA data on PGI-website.

STAN Input-Output database

Purpose

To provide a comprehensive database for cross country analyses of industrial structures, the interrelationships between consumers and producers, and the interactions between countries (e.g. as regards outsourcing and trade flows).

Objectives and outputs

The current OECD input-output database is based on detailed national accounts estimates of economic activity and interrelationships within economies. The database is based on an ISIC Rev.3 and is consistent with the latest system of national accounts (SNA93). Data for 33 OECD countries and 11 non-member countries are currently available, with latest data for many countries referring to 2005 with tables also available for most ountries for 2000 or nearest year and for the mid-1990s.

Non-member countries involved in the activity:
Argentina, Brazil, China, Chinese Taipei, Cyprus, India, Indonesia, Latvia, Lithuania, Malaysia, Malta, Other, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand.

Databases

STAN Input-Output database

Main Developments for 2012

General aspects:

Expand the country coverage (e.g. non-OECD EU countries).

Measuring disparities in a National Accounts framework

Purpose

The aim of the Expert Group on Disparities in a National Accounts framework (EG DNA) is to consider how existing micro data could be used to produce estimates of disparities between groups of households in the framework of National Accounts.

Objectives and outputs

The Expert Group has begun its work in early 2011. Final results are expected by end 2012.

The main focus of the expert group in 2011 has been on assessing the availability of micro and macro information on household income, consumption and wealth, and on analysing similarities and divergences between the two types of sources (step 1).

From January 2012 Expert Group members will aim at generating results based on a simplified methodology matching the two types of sources, and having information on disparities indicators on household income, consumption and saving rates by group of household consistent with National Accounts averages and comparable across countries (step 2).

The Expert Group held two meetings in 2011. A third meeting is planned for August 2012. The final report is expected to be circulated to CSTAT by the end of 2012.

Non-member countries involved in the activity:

India

Main Developments for 2012

General aspects:

The final report of the Expert Group is expected to be circulated to CSTAT by the end of 2012.


2.3 Business statistics (OECD)
Business Statistics and Entrepreneurship

Purpose

i) To provide official annual data for detailed industrial and service sectors (at the 4 digit ISIC level), consistent and relevant for international comparison in order to meet policy makers' and analysts' needs for structural business statistics for detailed economic sectors. Three databases are currently maintained.

ii) To develop a program of internationally-comparable indicators of entrepreneurship, its determinants and its impacts, to inform policy-analysis and policy-making. This activity is called Entrepreneurship Indicators Program (EIP).

Objectives and outputs

i) The databases on structural business statistics (SSIS) and (BSC), updated through a joint questionnaire with UNIDO, contain annual data on core economic variables, relating to both industry and services, at a very detailed level of ISIC revision 3 (up to the 4th digit level). They cover such variables as production, value added, investment, number of enterprises, employment, wages and salaries, and hours worked. Statistics are derived mainly from structural business surveys, censuses and administrative sources.

The BSC database contains this information broken down by enterprise size class.

ii) In the framework of the Entrepreneurship Indicators Programme, Business Demography Indicators are collected formally and include indicators of birth, death and survival rates and numbers of high growth firms - all based on common concepts developped in the Eurostat-OECD Manual on Business Demography Statistics published in 2007.

The main achievement of this activity include the publication Structural and Demographic Business Statistics (March 2010) and the Statistics Brief No. 15 on Measuring Entrepreneurship (November 2010).

The Entrepreneurship Indicators Programme Steering Group held its sixth meeting in December 2010. This was followed by a Workshop jointly organised by the OECD and Eurostat. The Workshop focused on two categories of entrepreneurship determinants: culture and capabilities.

In addition to the Steering Group, the Secretariat has developed an EIP Network so that additional countries and organisations may remain abreast of the Entrepreneurship Indicators Programme work and participate on an ad hoc basis.

The EIP was presented in several official internal meetings and in Workshops and Conferences held outside the Organisation.

Non-member countries involved in the activity:

Brazil, Bulgaria, Latvia, Lithuania, Romania, Slovenia.

Databases

SDBS - Business Demography Indicators
SDBS - Structural Business Statistics

Main Developments for 2012

General aspects:

Expected improvements to SDBS statistics in 2012 include:

• The extension of the country coverage in the collection of comparable business demography statistics;
• The development of indicators by gender;
• The publication of the second issue of Entrepreneurship at a Glance in May 2012.

Data collection:

Extension of the country coverage in the collection of entrepreneurship statistics is expected. It is also expected that other entrepreneurship indicators will be identified and added.

Foreign Affiliates in Services

Purpose

To give detailed data on the role played by multinationals in the services sectors of the OECD countries, which concerns inward and outward foreign direct investment.

Objectives and outputs

The database on Foreign Affiliates Trade in Services covers the following variables: number of enterprises, turnover, value added, employment, personnel costs, investments, exports and imports, R&D expenditure and R&D personnel, for inward and outward activities of multinational firms. Data on the activity of parent companies are also requested.

Databases

Foreign Affiliates Trade in Services Database (FATS)

Main Developments for 2012

General aspects:

This database is going to be merged with the AFA database in a new AMNE database.

The 2010 questionnaire already includes these changes.

The cooperation with EUROSTAT should also become more important in 2011 going towards same definitions and questionnaires, except for the survey on parent companies.

Micro-data on enterprises

Purpose

To develop a large scale database of firm-level information, comparable across countries and industries. The database will contain a broad range of firm-level data, including employment, sales, labor costs, assets, etc., as well as information on the capital structure of firms.

This micro-database aims to complement existing OECD databases on industry and services (SBS, STAN, etc.).

Objectives and outputs

The micro-database is built on the ORBIS database of Bureau Van Dijk covering around 65 million companies across different industries and countries over several years. This database collects information on a broad range of financial and industrial information at the firm-level.

Given that the structure of the original database is not meant to serve research purposes, data is being extracted in a format suitable for analytical work. In addition, a thorough process of data cleaning and double checking is being undertaken to guarantee/increase the quality of the data.

In order to assess the coverage of the original database across industries and countries, existing databases will be used to assess the representativeness of the data.

The database is designed to support the analytical activities of different OECD directorates.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Europe, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela.

Databases

ORBIS

Main Developments for 2012

General aspects:

• Update the OECD Orbis database with a new architecture of the database, covering additional company and financial information, and as well ownership data with high quality;
• Develop more concrete definition of high growth firm and some possible work on Zephyr and micro enterprises;
• Investigate comparability or representativeness of ORBIS data with official micro-data available;
• Further identification of multinationals and business groups;
• Intra-firm trade estimates.

Data collection:

More comparable information is expected on business demography and Entrepreneurship statistics, especially on the basis of the new Eurostat-OECD manual on Business Demography Statistics.

Production and Sales Indicators

Purpose
To provide short-term economic indicators of production, sales, orders, work started and in progress and stocks for OECD member countries and selected large emerging non-member economies.

Objectives and outputs

All the subjects under the Production and sales are classified under the following six top headings: Production, Sales, Orders, Work started, Work in progress, Stocks. Within each heading, indicators are further classified according to economic activities.

A review of core indicators took place in 2010, with an aim of streamlineing the area, and prepare for a less co-ordinated operation between subjects within the MEI database and publications.

Non-member countries involved in the activity:

Brazil, China, Indonesia, Russian Federation, South Africa.

Databases

MEI_REAL

Main Developments for 2012

General aspects:

A review to streamline this area is planned.


2.4 Sectoral statistics (OECD)
2.1 Macroeconomic statistics (OECD)
STAN Database for Industrial Analysis

Purpose

To provide a comprehensive database tool for cross-country analyses of industrial performance (competitiveness, productivity etc.) and structural change at a relatively detailed level of activity.

Objectives and outputs

The STAN database for industrial analysis provides analysts and researchers with a comprehensive tool for analysing industrial performance at a relatively detailed level of activity across countries. It includes annual measures of output, labour input, investment and international trade which allow users to construct a wide range of indicators to focus on areas such as productivity growth, competitiveness and general structural change. The industry list provides sufficient detail to enable users to highlight high-technology sectors and is compatible with those used in related OECD databases.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

STAN Database for industrial Analysis

Main Developments for 2012

General aspects:

Development and production of a new version of STAN based on ISIC Rev. 4. with statistics to 2010. Inclusion of non-Member countries, where possible. Closer cooperation with EU KLEMS project in particular and World KLEMS project in general. Comprehensive STAN documentation in form of STI Working Paper.

Business Tendency and Consumer Opinion Surveys

Purpose

To collect and disseminate business tendency and consumer opinion survey data for OECD member countries and selected non-member economies. To promote wider use of business tendency and consumer opinion surveys in OECD member countries and selected non-member economies.

To develop international statistical standards and to encourage scientific research in this field of statistics.

Objectives and outputs

This activity involves the ongoing collection and publication of an extensive range of business tendency and consumer opinion survey data and related metadata from OECD member countries and the BRIICS.

The survey data are published in the OECD's monthly Main Economic Indicators (MEI). Data collection is co-ordinated with the European Commission, with the OECD taking primary responsibility for data collection from national sources only for non-EU OECD member countries and the BRIICS.

During the year 2010 the OECD evaluated the possibility to renew its existing international guidelines and recommendations. In co-operation with UNSD, the European Commission and CIRET it surveyed current availability of tendency sureveys internationally and the level of harmonization and adherence to existing guidelines. For 2011 the OECD will start the review of its Business Tendency Surveys handbook last revised in 2003.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

MEI_BTS_COS

Main Developments for 2012

General aspects:

A review of the code structure in the production database, and a consequent update of production flows.

Composite Leading Indicators

Purpose

To compile and disseminate the OECD composite leading indicators for OECD member countries and for the BRICS NMEs + Indonesia, which help analysts to assess the cyclical phase of the OECD economies and forecast its future development.

To do methodological development work and carry out scientific research in this field.

Objectives and outputs

OECD Composite Leading Indicators (CLI) are published in the monthly Main Economic Indicators publication and in a monthly press release.

The quality of existing CLIs is monitored and enhanced on an on-going basis, including the expansion of country coverage for both OECD member and non-member countries, and the development of new tools in the research software for cyclical analysis and composite indicators.

Main achievements in 2010 were the finalization of a distributable package of the production system (CACISd), setting up the dissemnination website in Clearspace, with the goal of reinforcing transparency.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

MEI_CLI

Main Developments for 2012

General aspects:

Update CLIs for selected OECD member countries.

A pilot project testing the multivariate direct filter approach for CLI caluclation in co-operation with prof. Marc Wildi.

Changing the reference series at the core of the CLI from IIP to GDP.

Data collection:

Inclusion of additional series required for the compilation of CLIs for Brazil, China, India, Russian Federation and South Africa and for OECD member as a result of on-going review of CLI component series for each country.

Data management:

Incorporation of more detailed metadata on CLI compilation methodology in MetaStore.

Main Economic Indicators

Purpose

The OECD's Main Economic Indicator (MEI) database provides a wide range of short-term economic indicators (and associated methodological information) for OECD member and non-countries to meet the on-going requirements of a number of internal OECD users.

Objectives and outputs

Maintaining the Main Economic Indicators (MEI) database, which contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member and for all Enhanced Engagement economies on a wide variety of economic indicators for use by economic analysts, policy makers and business.

Indicators in the MEI database include: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.

There is an on-going process of review to revise the contents of the database in order to maximise the relevance of the database for short-term economic analysis, for example, through the inclusion of new indicators reflecting new areas of analysis and policy making. Enlarging coverage also entails working with other international organisations such as IMF, ILO, ECB and Eurostat in the development of effective international standards for the presentation of statistical methodological information (metadata), and increasing the coverage and quality of statistical metadata, whilst at the same time minimising the reporting burden of member countries.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

Main Economic Indicators (MEI)

Main Developments for 2012

General aspects:

The ongoing implementation of a MEI Review undertaken in 2010 at the request of the Director.

Data collection:

On-going processes to improve the efficiency and timeliness of data capture processes.

There will also be expanded use of data from Eurostats NewCronos database and the IMF's IFS. Greater efforts will also be made to implement data and metadata exchange standards developed under the SDMX initiative.

Real-time and Revisions Database

Purpose

To make freely available on the OECD website a "real-time" database with associated revisions analysis of key short-term economic statistics derived from historically published monthly snapshots of the OECD Main Economic Indicators database.

Objectives and outputs

The concept of a real time database is to provide an information set of short-term economic statistics that would have been available to analysts at a specific point in time for the purpose of testing the likely effectiveness of econometric models in real-time. It also provides the opportunity to perform revisions analysis - i.e. to study the magnitude and direction of subsequent revisions to published statistics. A database containing MEI vintage from 1999 was developed and published on the OECD website in 2006.

The portal also provides a broader context on the issue of revisions. This primarily take the form of the revisions framework (outlining the reasons for data revision) formulated by the IMF and of the recommendations published in the OECD "Data and Metadata Reporting and Presentation Handbook".

Updated revisions analysis of GDP and a comparision of revisions between seasonally adjusted and raw series were performed in 2007 and presented at the STESWP and National Accounts working parties, and also at a number of international conferences where the database was also promoted.

Main Developments for 2012

General aspects:

No major changes.

Short-Term Financial and Real Indicators

Purpose

To capture in quantitative terms an important but heterogeneous and fast evolving area in globalisation of the financial markets and increased sophistication of the actors and activities in these markets.

To provide short-term economic indicators of production, sales, orders, work started and in progress and stocks for OECD member countries and selected large emerging non-member economies.

Objectives and outputs

The Financial Indicators dataset contains financial statistics on six separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, Reserve Assets, International Trade, and Share Prices. In all cases considerable effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series' data to aid with analysis.

All the subjects under Real Indicators are classified under the following six top headings: Production, Sales, Orders, Work started, Work in progress, Stocks. Within each heading, indicators are further classified according to economic activities.

Non-member countries involved in the activity:

Brazil, China, Indonesia, Russian Federation, South Africa.

Databases

MEI_FIN2.2 Economic accounts (OECD)
Institutional Investors' assets

Purpose

This data collection integrated in the framework of the SNA covers detailed assets (including a breakdown of resident/non resident data) for a number of institutional investors (more detailed than in the SNA93). Its aim is to have more detailed information on the activities of the institutional investors (not covered by the SNA) in OECD Member countries.

An additional questionnaire is sent yearly to OECD countries in parallel with the OECD/Eurostat joint questionnaire on Financial Accounts.

Objectives and outputs

The database has been updated up to 2010, for all OECD countries and Russia.

Improvements in the coverage of the database have been achieved.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Institutional Investors' assets

Main Developments for 2012

General aspects:

Update and continuous improvement of the coverage, including an extension to non-member countries (EE5 and other G20).

Depending on resources allocated to the unit, quarterly data will be processed when available and used to calculate indicators.

Data collection:

Improvement of the coverage of the database.
Depending on available resources, quarterly data will be processed.

Data management:

The methodological information currently available in WORD documents might be stored in Metastore using links to these documents, when resources permit.

Human Capital Accounts

Purpose

To develop an agreed methodology for producing monetary estimates of Human Capital for the purposes of international and inter-temporal comparisons.

Objectives and outputs

A working paper that summarises the outcomes of the first phase of the project was released in October 2011 (OECD STATISTICS WORKING PAPER SERIES No. 41).

Non-member countries involved in the activity:

Romania, Russian Federation.

Main Developments for 2012

General aspects:

1. Preparing an in-depth review of country practices in human capital measurement. This review is undertaken under the auspices of the UNECE Conference of European Statisticians (CES) and is being chaired by Geoff Bascand, Statistics New Zealand; as part of this review, we plan to circulate a 'country questionnaire' to document country practices and initiatives.

2. Documenting the OECD methodology and data sources in a technical report.

3. Drafting a working paper based on joint work with the World Bank on national wealth accounting by using direct estimates of human cpaital generated from the OECD project.

4. If available, extending the methodology to additional countries and years.

Annual Financial Accounts

Purpose

To provide unique data sets of harmonised data on annual financial accounts and annual financial balance sheets of OECD countries, according to SNA 1993, to analysts and policy makers.

Objectives and outputs

This activity mainly focuses on the collection of comparable quantitative and qualitative information on annual financial transactions carried out and on annual financial stocks held by institutional sectors of the economy in the OECD member countries.

The main objectives are to improve the quantity and the quality of information on OECD financial accounts (transmission of timely, reliable and consistent data) and to disseminate comparable tables on financial accounts (transactions) and financial balance sheets (stocks).

Russia and EE5 countries' data will be included in the databases when available.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Annual Financial Accounts (ANA)

Main Developments for 2012

General aspects:

The database on annual Financial Accounts and Financial Balance Sheets will continue to be improved. All OECD countries are now covered. For some countries however, the sectoral coverage has still to be extended while for some countries, additional datasets (flows or stocks, consolidated or non-consolidated) will continue to be required.

Data for Russia, for the EE5 countries, and for additional G20 countries (Argentina and Saudi Arabia) will be included when available.

Detailed methodological information relating to Financial accounts and Financial balance sheets should be updated and included in Metastore.

Data collection:

Historical data will be added to the database as soon as countries send them. Data which are still missing for some Member countries will continue to be requested and included in the databases.

Data for Russia will be integrated (if provided) in the OECD databases; depending on resources, data for some non-Member countries (EE5 and G20) will be asked and processed according to their availablity.

Moreover, following conclusions of the 2009 and 2010 WPFS meetings, financial indicators based on financial accounts and balance sheets, and on the two other SNA-related database (on Households and Institutional investors) will be calculted and disseminated.

Data management:

Financial indicators based on these datasets are calculated and are the object of another activity: OECD Financial Indicators.

A new database system now hosts quarterly data: see the new activity Quarterly Sector Accounts (Financial part).

Annual National Accounts

Purpose

To provide, on an internationally comparable basis, a timely update of annual national accounts data to internal and external users for analytical purposes.

To provide a forum of international exchange on national accounts standards, in order to improve the relevance of SNA 93 and enhance international comparability.

Objectives and outputs

The annual national accounts database (SNA) presents a consistent set of data mainly compiled on the basis of the 1993 System of National Accounts. It contains data from 1970 whenever possible for OECD member countries.

Main series of the SNA database are presented using an "indicator" approcah in the publication National accounts at a Glance, focusing on cross-country comparisons. In this publication each indicator is associated to a text which explains in general terms of what is measured and why.

Non-member countries involved in the activity:

China, India, Indonesia, Russian Federation, South Africa.

Databases

Annual National Accounts (ANA)

Main Developments for 2012

General aspects:

Extend the collection of data from EE countries to Brazil.

Economics Department Analytical Data Base (ADB)

Purpose

Management, co-ordination and provision of statistical data sets in support of Economics Department work described under Theme 1 (Economic Growth, Stability and Structural Adjustment). Primarily as input to the Economic Outlook assessment process, ensure timely and consistent updating of the body of largely macroeconomic statistics and calculation of subsidiary concepts necessary for corresponding analytical activities. Checking methodological soundness and consistency of data definitions against the analytical needs of the Department and in particular Country Desks. Development and maintenance of related programmes, definitions and procedures and associated metadata systems in support of analytical users.

Objectives and outputs

Maintains relevant Analytical Data Bank in support of relevant needs of ECO's macro analytical work, notably with respect to the data needs of the OECD Economic Outlook. In conjunction with STD and other statistical groups, co-ordinates, manages and extracts the relevant annual and quarterly data sets from available sources within the OECD (mostly STD), National Administrations and related publications. The primary database covers a range of statistical concepts relevant, in particular, to the assessment of the world's economic situation and developments in member country economies. These include a wide range of national accounts, wage, price and labour force, fiscal and financial accounts, exchange rates, international trade and balance of payments concepts reported on a variety of frequencies. Basic definitions and requirements are those of the economists in the Policy and Country Studies branches. The relevant statistics are used routinely in the analysis incorporated in documents for the Economic Policy and Economic Development Review Committees and are reported as supporting material in the corresponding OECD publications - the twice yearly OECD Economic Outlook and the OECD Country Survey series. The Economic Outlook data set is also disseminated as an OECD data product.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Economics Department Analytical Database

Main Developments for 2012

General aspects:

Main changes in content relate to the progressive inclusion of relevant statistics for the Accession and Enhanced Engagement countries over the coming year. New indicarors to help monitoring analysis will be introduced. Main technical changes in the past and coming year relate to the continuing migration to the ADB to ECO's time series data management system, incorporating direct links to in-house source data bases and the MetaStore system, the integration of Economic Outlook publications data base within the OECD.Stat system and the incorporation of relevant production metadata within MetaStore for internal and external use.

Data management:

Development of metadata link based HELP system within data management system, revisions to control and access rights for users outside of ECO.

General Government National Accounts

Purpose

To provide, on an internationally comparable basis, a timely update of annual national accounts data for the sector of general government and sub-sectors to internal and external users. This covers detailed revenues and detailed expenditures by function of general government and subsectors.

Objectives and outputs

The project on general government national accounts began in September 2003. There are three objectives of the project: (1) improve the transmission to and dissemination by the OECD of timely and detailed data on general government; (2) enhance the comparability of the major aggregate results for general government such as general government deficit/surplus and/or general government debt.

Data are made available to member country government agencies on OLISnet thanks to OECD.Stat and to the public through dissemination in OECD.Stat and tables freely available on Internet.

Non-member countries involved in the activity:

Russian Federation, Slovenia.

Databases

ANA - SNA
Annual National Accounts (ANA)

Main Developments for 2012

General aspects:

Extention the collection of data for EE countries, in particular for Brazil, India.

Household Assets and Liabilities

Purpose

This data collection aims at better knowing the households' behavior vis-à-vis risks and enables studies on the distribution of households' wealth. It refers to the SNA sector S14 - Households.

An additional questionnaire is sent yearly to OECD countries in parallel with the OECD/Eurostat joint questionnaire on Financial Accounts.

Objectives and outputs

The database has been updated up to 2010 for all OECD countries.

A better coverage of financial and non-financial assets and on detailed liabilities currently transmitted by OECD countries has been achieved.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Household Assets and Liabilities

Main Developments for 2012

General aspects:

It is expected to further improve the coverage (assets and liabilities) of the database and to extend the geographical coverage to non-member countries (Russia, EE5 and G20).

When resources permit, quarterly data will be processed and used to calculate financial indicators.

Data collection:

Improvement of the coverage of the database.
Depending on resources allocated to the unit, quarterly data will be processed.

Data management:

The methodological information currently available in WORD documents might be stored in Metastore using links to these documents, when resources permit.

National Accounts for Non-member Economies

Purpose

To cooperate with non-member countries not included in the Quarterly National Accounts database and incorporate these countries into the standard OECD MEI data collection and dissemination program.

Objectives and outputs

Provide users with non-member national accounts data.

Non-member countries involved in the activity:

China, India.

Databases

National accounts and prices for non-member countries

Main Developments for 2012

General aspects:

To remove these countries once they are incorporated into the QNA database. Only Two countries remain: China and India. This activity will finish in 2012.

OECD Financial Dashboard

Purpose

The recent financial and economic crises have underlined the importance of monitoring financial activity and position of the various institutional sectors of national economies.

The OECD Financial Dashboard has been created to respond to users' questions and needs for relevant indicators based on timely, frequent and comparable financial statistics.

Objectives and outputs

The financial indicators are constructed from financial accounts and from financial balance sheets to analyse the behaviour and performance of the various institutional sectors and to carry out cross-country comparisons.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

OECD Financial Dashboard

Main Developments for 2012

General aspects:

New activity.

Data collection:

New activity.

Data management:

New activity.

Productivity/Capital Services

Purpose

Four OECD Directorates have co-operated to produce a data set for productivity measures, a widely-used indicator of economic performance. The purpose of this activity is to bring together, in one place, the results of this work and make available various productivity measures as well as relevant methodological information such as the OECD Manual on Measuring Capital. The series on capital services, multi-factor productivity (MFP) and GDP per hour worked are a standard input into the Economic Department's estimate of potential output. In 2011, the OECD Productivity database by industry has been released and provides regularly updated productivity estimates by industry.

Objectives and outputs

Labour productivity indices for 30 countries and a set of capital services and multi-factor productivity measures for 20 countries are regularly updated and are available on OECD.Stat. Recent methodological developments concerned both the development and the release of multi-factor productivity estimates by industry in the OECD STAN STructural ANalysis Database and research on total economy productivity measures. A major achievement in 2011 was the publication of the OECD Productivity database by Industry (PDBi). PDBi data are updated on a regular basis and allow international comparisons in industry-level MFP measures and are fully compatible with data compiled in the STAN database.

Databases

Productivity by industry
Productivity/capital services database

Main Developments for 2012

General aspects:

In 2012, the productivity database at the whole economy level and the productivity database by industry will continue to be updated regularly with the aim to increase the number of available countries. Methodological developments will concern productivity indicators at the total economy level and productivity estimates by industry.

The Productivity database by industry will move to ISIC Rev.4.

Data management:

Productivity by Industry data where published for the first time in 2011. The move to the International Standard Industrial Classification of All Economic Activities, ISIC Rev.4 is planned for 2012, according to the release of an ISIC Rev.4 version of the OECD STAN database.

Quarterly National Accounts

Purpose

1. To provide a real time update of member and non-member countries' sets of quarterly national accounts to internal users, mainly the OECD Economics Department. Quarterly national accounts constitute a significant input into the OECD's macro-economic modelling and forecasting work.

2. To provide external users a selection of key long time series from countries' quarterly national accounts, some area totals and a consistent and internationally comparable set of data for analytical purposes.

Objectives and outputs

The OECD Quarterly National Accounts (QNA) database presents data collected from countries on the basis of a standardised OECD/Eurostat questionnaire based on SNA 1993/ESA 1995. It contains, as from 1960 whenever possible (and even before for a few countries), a wide selection of the accounts produced by the 34 member countries covering accounts at the level of the overall economy and some institutional sectors accounts.

Work is concentrated on producing relevant, reliable, consistent, comparable and timely quarterly national accounts for member countries and a few non-member economies.

The QNA publications contain a selection of the accounts most widely used for economic analysis: GDP - expenditure and output approaches (current prices and volume estimates), GDP income approach (current prices), Saving and net lending (current prices), Gross fixed capital formation (current prices and volume estimates) broken down separately by type of asset and by institutional sector, Disposable income and Real disposable income components, Population and Employment, Compensation of employees by industry, Employment by industry, Household final consumption expenditure (current prices and volume estimates) by durability and by purpose.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Quarterly National Accounts (QNA)

Main Developments for 2012

General aspects:

Continue to extend the coverage of the database by the inclusion of new accounts/series provided by countries.

Expand the geographical coverage of the QNA database by including more updated data from Enhanced Engagement (EE) countries,

and possibly remaining G20 countries (Argentina and Saudi Arabia).

Data collection:

Extension of the statistical content (new accounts, new sets of chained volume estimates, new seasonally adjusted series) and the time coverage (historical series) to take account of the development of QNA made in countries.

Extension of the country coverage (EE countries and remaining G20 countries).

Encourage non-EU countries to provide QNA data in SDMX format.

Source EU data directly from Eurostat validated data.

 

Quarterly Public Sector Debt

Purpose

This new database has been launched in the framework of a coordinated activity with the World Bank and the IMF to respond to the G20 Data Gap Initiative (Recommendation 18).

Objectives and outputs

Collect detailed and comparable quarterly data on the General Government Debt, the Central Government Debt and more broadly the Public Sector Debt.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Quarterly Public Sector Debt (7PSD)

Main Developments for 2012

General aspects:

New activity.

Data collection:

New activity.

Data management:

Creation of this dataset and updates.

Quarterly Sector Accounts (Financial part)

Purpose

To provide financial quarterly sector accounts data of member and non-member G20 countries for internal and external users.

The G20 Recommendation 15 has identified Sector accounts (annual and quarterly) as essential statistics to monitor economies.

The OECD is responsible for collecting and disseminating detailed quarterly sectoral accounts for OECD member countries and other non-member G20 countries.

Objectives and outputs

Quarterly financial accounts and quarterly financial balance sheets have been collected in 2011 for the first time and stored in the new QASA browser during the 4th quarter of 2011.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Quarterly Financial Accounts and Financial Balance Sheets

Main Developments for 2012

General aspects:

New activity in 2012.

Data collection:

New activity.

Data management:

New activity.

Quarterly Sector Accounts (Non-Financial)

Purpose

To provide non-financial quarterly sector accounts data of member and non-member G20 countries for internal and external users.

The G20 Recommendation 15 required identified Sector accounts (annual and quarterly) as essential statistics to monitor economies.

The OECD is responsible for collecting and disseminating of detailed quarterly sectoral accounts for OECD member countries and other non-member G20 countries.

Objectives and outputs

Continue to collect non-financial Quarterly Sector Accounts (QSA) data for EU countries in close collaboration with Eurostat; Collect non-EU QSA data through questionnaires. Release QSA data on OECD.stat for the countries that give permission to publish the data.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Non-financial Quarterly Sector Accounts

Main Developments for 2012

General aspects:

Collecting QSA data for EU countries that have not given permissions to the Eurostat for transmitting such data to the OECD, such as France and Germany.

Collecting data from non-EU countries that has not transmitted data to the OECD.

Releasing publishable QSA data on OECD.Stat.

Contribute to the IMF for releasing G20 QSA data on PGI-website.

STAN Input-Output database

Purpose

To provide a comprehensive database for cross country analyses of industrial structures, the interrelationships between consumers and producers, and the interactions between countries (e.g. as regards outsourcing and trade flows).

Objectives and outputs

The current OECD input-output database is based on detailed national accounts estimates of economic activity and interrelationships within economies. The database is based on an ISIC Rev.3 and is consistent with the latest system of national accounts (SNA93). Data for 33 OECD countries and 11 non-member countries are currently available, with latest data for many countries referring to 2005 with tables also available for most ountries for 2000 or nearest year and for the mid-1990s.

Non-member countries involved in the activity:
Argentina, Brazil, China, Chinese Taipei, Cyprus, India, Indonesia, Latvia, Lithuania, Malaysia, Malta, Other, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand.

Databases

STAN Input-Output database

Main Developments for 2012

General aspects:

Expand the country coverage (e.g. non-OECD EU countries).

Measuring disparities in a National Accounts framework

Purpose

The aim of the Expert Group on Disparities in a National Accounts framework (EG DNA) is to consider how existing micro data could be used to produce estimates of disparities between groups of households in the framework of National Accounts.

Objectives and outputs

The Expert Group has begun its work in early 2011. Final results are expected by end 2012.

The main focus of the expert group in 2011 has been on assessing the availability of micro and macro information on household income, consumption and wealth, and on analysing similarities and divergences between the two types of sources (step 1).

From January 2012 Expert Group members will aim at generating results based on a simplified methodology matching the two types of sources, and having information on disparities indicators on household income, consumption and saving rates by group of household consistent with National Accounts averages and comparable across countries (step 2).

The Expert Group held two meetings in 2011. A third meeting is planned for August 2012. The final report is expected to be circulated to CSTAT by the end of 2012.

Non-member countries involved in the activity:

India

Main Developments for 2012

General aspects:

The final report of the Expert Group is expected to be circulated to CSTAT by the end of 2012.2.3 Business statistics (OECD)
Business Statistics and Entrepreneurship

Purpose

i) To provide official annual data for detailed industrial and service sectors (at the 4 digit ISIC level), consistent and relevant for international comparison in order to meet policy makers' and analysts' needs for structural business statistics for detailed economic sectors. Three databases are currently maintained.

ii) To develop a program of internationally-comparable indicators of entrepreneurship, its determinants and its impacts, to inform policy-analysis and policy-making. This activity is called Entrepreneurship Indicators Program (EIP).

Objectives and outputs

i) The databases on structural business statistics (SSIS) and (BSC), updated through a joint questionnaire with UNIDO, contain annual data on core economic variables, relating to both industry and services, at a very detailed level of ISIC revision 3 (up to the 4th digit level). They cover such variables as production, value added, investment, number of enterprises, employment, wages and salaries, and hours worked. Statistics are derived mainly from structural business surveys, censuses and administrative sources.

The BSC database contains this information broken down by enterprise size class.

ii) In the framework of the Entrepreneurship Indicators Programme, Business Demography Indicators are collected formally and include indicators of birth, death and survival rates and numbers of high growth firms - all based on common concepts developped in the Eurostat-OECD Manual on Business Demography Statistics published in 2007.

The main achievement of this activity include the publication Structural and Demographic Business Statistics (March 2010) and the Statistics Brief No. 15 on Measuring Entrepreneurship (November 2010).

The Entrepreneurship Indicators Programme Steering Group held its sixth meeting in December 2010. This was followed by a Workshop jointly organised by the OECD and Eurostat. The Workshop focused on two categories of entrepreneurship determinants: culture and capabilities.

In addition to the Steering Group, the Secretariat has developed an EIP Network so that additional countries and organisations may remain abreast of the Entrepreneurship Indicators Programme work and participate on an ad hoc basis.

The EIP was presented in several official internal meetings and in Workshops and Conferences held outside the Organisation.

Non-member countries involved in the activity:

Brazil, Bulgaria, Latvia, Lithuania, Romania, Slovenia.

Databases

SDBS - Business Demography Indicators
SDBS - Structural Business Statistics

Main Developments for 2012

General aspects:

Expected improvements to SDBS statistics in 2012 include:

• The extension of the country coverage in the collection of comparable business demography statistics;
• The development of indicators by gender;
• The publication of the second issue of Entrepreneurship at a Glance in May 2012.

Data collection:

Extension of the country coverage in the collection of entrepreneurship statistics is expected. It is also expected that other entrepreneurship indicators will be identified and added.

Foreign Affiliates in Services

Purpose

To give detailed data on the role played by multinationals in the services sectors of the OECD countries, which concerns inward and outward foreign direct investment.

Objectives and outputs

The database on Foreign Affiliates Trade in Services covers the following variables: number of enterprises, turnover, value added, employment, personnel costs, investments, exports and imports, R&D expenditure and R&D personnel, for inward and outward activities of multinational firms. Data on the activity of parent companies are also requested.

Databases

Foreign Affiliates Trade in Services Database (FATS)

Main Developments for 2012

General aspects:

This database is going to be merged with the AFA database in a new AMNE database.

The 2010 questionnaire already includes these changes.

The cooperation with EUROSTAT should also become more important in 2011 going towards same definitions and questionnaires, except for the survey on parent companies.

Micro-data on enterprises

Purpose

To develop a large scale database of firm-level information, comparable across countries and industries. The database will contain a broad range of firm-level data, including employment, sales, labor costs, assets, etc., as well as information on the capital structure of firms.

This micro-database aims to complement existing OECD databases on industry and services (SBS, STAN, etc.).

Objectives and outputs

The micro-database is built on the ORBIS database of Bureau Van Dijk covering around 65 million companies across different industries and countries over several years. This database collects information on a broad range of financial and industrial information at the firm-level.

Given that the structure of the original database is not meant to serve research purposes, data is being extracted in a format suitable for analytical work. In addition, a thorough process of data cleaning and double checking is being undertaken to guarantee/increase the quality of the data.

In order to assess the coverage of the original database across industries and countries, existing databases will be used to assess the representativeness of the data.

The database is designed to support the analytical activities of different OECD directorates.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Europe, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela.

Databases

ORBIS

Main Developments for 2012

General aspects:

• Update the OECD Orbis database with a new architecture of the database, covering additional company and financial information, and as well ownership data with high quality;
• Develop more concrete definition of high growth firm and some possible work on Zephyr and micro enterprises;
• Investigate comparability or representativeness of ORBIS data with official micro-data available;
• Further identification of multinationals and business groups;
• Intra-firm trade estimates.

Data collection:

More comparable information is expected on business demography and Entrepreneurship statistics, especially on the basis of the new Eurostat-OECD manual on Business Demography Statistics.

Production and Sales Indicators

Purpose
To provide short-term economic indicators of production, sales, orders, work started and in progress and stocks for OECD member countries and selected large emerging non-member economies.

Objectives and outputs

All the subjects under the Production and sales are classified under the following six top headings: Production, Sales, Orders, Work started, Work in progress, Stocks. Within each heading, indicators are further classified according to economic activities.

A review of core indicators took place in 2010, with an aim of streamlineing the area, and prepare for a less co-ordinated operation between subjects within the MEI database and publications.

Non-member countries involved in the activity:

Brazil, China, Indonesia, Russian Federation, South Africa.

Databases

MEI_REAL

Main Developments for 2012

General aspects:

A review to streamline this area is planned.
2.4 Sectoral statistics (OECD)
2.4.1 Agriculture, forestry, fisheries (OECD)
Indonesia: Review of Agricultural Policies

Purpose

Calculate producer supporte estimates for Indonesia. Integrate Indonesia in OECD agricultural databases.

Objectives and outputs

Publication of PSE results for Indonesia. Integration of Indonesia into a regular Monitoring and Evaluation process of agricultural policies.

Non-member countries involved in the activity:

Indonesia

Databases

PSE database for Indonesia

OECD-FAO Agricultural Outlook 2012-2021

Purpose

To provide an annual update of statistical information and projections by country for OECD members, the OECD area, selected non-member countries, other developing and least developed countries and regional and world aggregates, of supply and use balances for cereals, oilseeds, biofuels, sugar, meats, dairy and fish products up to 2021.

Objectives and outputs

To maintain a database with detailed supply and use information for most temperate zone agricultural commodities. The tables provide detailed information for production, consumption, trade, stocks and prices in OECD countries and a large number of other countries including China, Argentina, Brazil, India, South Africa, Russia and other CIS independent states and many smaller countries and regions in Africa, Asia and Latin America. Most series cover the period from 1970 to the most current year and include updated annual projections for up to ten years in the future.

Non-member countries involved in the activity:

South Africa.

Databases

The Agricultural Commodities Database

Main Developments for 2012

General aspects:

Pilot with Prognoz.

Producer and Consumer Support Estimates in OECD Countries and selected economies

Purpose

To collect, process, evaluate and publish data on support to agriculture in OECD countries. The activity also provides staff with a database for various research and analysis activities of the Directorate. This is a joint activity between the "Agricultural Policies and Environment", the "Development" and the "Policies and Trade in Agriculture" Divisions of the Trade and Agriculture Directorate.

Objectives and outputs

To update the Producer and Consumer Support Estimate annual database and to calculate the various indicators of support to agriculture. The data are used to evaluate agricultural and other policies in OECD countries, mainly in the annual Agricultural Policies in OECD Countries Report, which is reviewed and approved by the Working Party on Agricultural Policies and Markets.

The data collected and the method used to calculate the indicators of support are reviewed both internally, and externally by the Working Party on Agricultural Policies and Markets, on an annual basis. These review processes improve the data quality as well as the methodology used in the calculations.

In this context, a new classification of the component parts of the support estimates was implemented from the 2007 Agricultural Policies in OECD countries Monitoring and Evaluation report. The database was extended to cover the new member countries in 2009 and 2010. A user friendly tool is being developed on the website for greater availability of the quantitative and analytical information to the public.

Non-member countries involved in the activity:

Brazil, China, Cyprus, Latvia, Lithuania, Malta, Russian Federation, South Africa.

Main Developments for 2012

General aspects:

The 2012 report covers the OECD countries.

The major innovation will consist in an in-depth chapter on innovation as well as the pursued developments to design the web site for improved dissemination of statistical information.

Review of Fisheries in OECD Countries - 2012

Purpose

To collect and present data for the publication Review of Fisheries. To provide staff, and other potential users, with a database for research and analysis purposes. The latter applies to the Policy Reviews as well as other activities of the Division. To provide other Directorates with data on fisheries resources.

Objectives and outputs

The principal purpose is to collect and make available data on a consistent basis among member countries (and observers) of statistics relevant to fisheries i.e. landings (harvest) and processing, fleet, fishers, employment, trade (via the ITS database), aquaculture and government financial transfers. The data are used nationally, principally for reporting purposes and internationally (e.g. OECD), for analytical purposes. Data also serve as reference for other international organisations and as a means for cross-checking and reconciling information from national sources.

Questionnaires and tables are sent (annually) to national correspondents following discussion and approval by the Committee for Fisheries. Data are collected and disseminated in the Review of Fisheries Statistics. Data published are also accessible via the public fisheries web site and more recent series through the Committee Web Site. At the international level co-ordination takes place among agencies involved in fisheries statistical programmes through the Co-ordinated Working Party (CWP) on Fisheries Statistics. The OECD is in close co-operation with the FAO and EUROSTAT in the collection of fisheries data. This is done, inter alia, with a view to avoid overlapping activities.

The data collected (and the procedures) are reviewed by the Committee for Fisheries on an annual basis. Internationally, improvements are carried out through the CWP.

Non-member countries involved in the activity:

Argentina, Chinese Taipei, Russian Federation, Thailand.

Databases

Review of Fisheries in OECD Countries

Main Developments for 2012

General aspects:

Continued improvements in metadata and comparison possibilities across member countries. The Government Financial Transfer (GFT) data are now included in the database. Data are now available to the public via the fisheries web site. Chinese Taipei and Thailand have been included since 2006. A major overhaul of the database took place in 2005.
2.4.3 Mining, manufacturing, construction (OECD)
Steel

Purpose

To provide the statistical background needed for policy discussions in the Steel Committee. Statistics are also produced for publications on steelmaking capacity in non-OECD economies.

Objectives and outputs

To provide participants of the Steel Committee with a broad range of information on the world steel industry and related raw material markets in order to enhance transparency and facilitate discussion by member and non-member economies on challenging policy issues facing the industry. More specifically, the statistical work includes gathering data on steel supply (capacity, production), demand, prices, trade, employment, and trade policy measures, in addition to market data on raw materials used in steelmaking (iron ore, coal, coke, ferrous scrap, and ferroalloys).

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Dominican Republic, Ecuador, Egypt, El Salvador, Europe, Georgia, Guatemala, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.2.4.4 Transport (OECD)
Annual Transport Statistics

Purpose

To provide annual transport information presenting disagregated statistical data in the transport sector.

Objectives and outputs

Data are collected in a harmonised way to facilitate comparisons between modes of transport and between countries by means of the Common Questionnaire developped jointly between three international organisations: Eurostat, ITF and UNECE.

Data cover topics such as infrastructure, rolling stock, human resources, investment, transport, traffic and energy consumption for different inland transport modes.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Slovenia, Tajikistan, Turkmenistan, Ukraine, Uzbekistan.

Databases

Transport Statistics - Common Questionnaire

Main Developments for 2012

General aspects:

ITF is developping a corporate database to integrate the information collected by means of the Common Questionnaire. The coporate database is planned to be ready towards the end of 2012.

Data collection:

Upgraded version of the WEB questionnaire.

International Database of Taxes and Changes for Road Freight Transport

Purpose

To provide indicators for efficiency and impact on competition of taxes and charges for transport in order to allow international comparisons.

Objectives and outputs

The final report provides a framework for international comparisons and discusses the economic principles for efficient systems of taxation. It provides a basis for addressing the questions "what is the right level for transport taxes" and "what kinds of charges should be used".

Main Developments for 2012

General aspects:

No major changes.

Investment in Transport Infrastructure

Purpose

To provide an annual update of statistical information on transport infrastructure investment, for all ITF countries, on total gross investment and maintenance expenditure.

Objectives and outputs

After processing the data, quality checks were carried out to select reliable time series to be made available on the web site along with a short analysis of trends.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Georgia, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Slovenia, Ukraine.

Databases

Investment in Transport Infrastructure

Main Developments for 2012

General aspects:

Data quality was improved by using more appropriated deflators when available.

Quarterly Transport Statistics

Purpose

To provide harmonised information on selected basic quarterly indicators in order to compare the latest inland transport trends between countries.

Objectives and outputs

To publish results every three months on the ITF web site, on a country by country basis with 4-5 months lag maximum (data for the first quarter is collected in June and published in July). Available series cover good transport in T-km, passenger transport in P-Km, road traffic in V-Km, brand new vehicles registration, car fuel consumption, road fatalities, imports and exports at current prices and industrial production.

Country by country data tables are available, as well as graphs showing trends for both individual countries and selected groups of countries.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Georgia, Latvia, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Slovenia, Ukraine.

Databases

Short-term trends survey

Main Developments for 2012

General aspects:

Starting with the publication of the 2nd quarter of 2009 results, an analytical report based on seaonnaly adjusted data is published each quarter published with the data on the ITF WEB site.

Information on air and maritime transport are integrated in the analysis to provide a global view on the transport activity.

An annual leaflet "key Transport Statistics" based on data for the 4 quarters is published each year in May for the ITF annual Summit in Leipzig.

Transport Sector Trends Analysis

Purpose

To provide a first analysis of both passenger and freight transport trends, as well as road accident trends. A short list of selected indicators are collected for that purpose.

Objectives and outputs

To publish an analysis of the transport situation in different geographical regions. The publication also gives the latest statistics on the situation of the transport market in ITF countries and presents charts which help to show what changes have occurred since 1970.

Because it is published earlier than any other comparable study, this report provides first-hand figures about passenger and freight transport as well as road accidents.

Since 2008 the publication also includes information on investment and maintenance expenses in transport infrastructures.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Georgia, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Slovenia, Ukraine.

Databases

Trends in the Transport Sector - Leaflet

Main Developments for 2012

General aspects:

The publication covers all transport modes including maritime and air as well as investment and maintenance expenses on transport infrastructures.
2.4.5 Tourism (OECD)
Tourism

Purpose

To meet the 2012-2016 Mandate of the Tourism Committee: a) improve the measurement of tourism services in OECD economies by addressing government and industry information needs and promoting the tourism satellite account; b) contribute to the dissemination of data on tourism economics and to a more effective use of such data for business and policy analysis and decision-making processes; and c) work in complementarity with other international organisations.

Objectives and outputs

In 2012, the third edition of "OECD Tourism trends and policies 2012" will be released. For the first time, it will be undertaken in cooperation with the European Committee. It will therefore contain augmented statistical data on member and selected non-member countries (54 countries). These data will be collected by two methods: a questionnaire will be addressed to countries; data extracted from OECD data bases. On the other hand, efforts will be made towards the dissemination of data and analysis on tourism economics at national and local levels. Special efforts will tend to promote the use of Tourism Satellite Account to public and private tourism stakeholders. In 2012, the activity on "Evaluating and Measuring Competitiveness in Tourism" will aim to identify a set of core/key indicators for measuring the overall performance and competitiveness of a country in tourism. At a later stage it will also include a pilot testing with voluntary countries.

Non-member countries involved in the activity:

Albania, Argentina, Brazil, Bulgaria, China, Croatia, Cyprus, Egypt, India, Indonesia, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, South Africa.

Databases

Tourism.
2.4.6 Banking, insurance, financial statistics (OECD)
African Central Government Debt Statistical Yearbook

Purpose

Borrowing requirements by governments in Africa to finance their budget deficits are met, to a large extent, by funds raised on financial markets and by non-marketable debt via bi-lateral, multi-lateral and concessional loans. Debt management techniques and policies can influence substantially the functioning of capital markets and the development of new financial instruments. As a consequence of globalisation, cross-border government borrowings have become more significant. Government debt instruments attract both institutional and retail investors and have an important share in the portfolios of fund managers.

The focus of the African central government debt statistical yearbook is to provide comprehensive quantitative information on African central government debt instruments i.e. marketable debt and to the extent possible the non-marketable debt as well, in all African countries. The coverage of the data is limited to central government debt issuance and all bilateral, multilateral and concessional debt and excludes therefore state and local government debt and social security funds.

Statistics are derived from national sources based on a questionnaire prepared under the auspices of the OECD Project on African Public Debt Management and Bond Markets.

Individual country data are presented in a comprehensive standard framework to facilitate cross-country comparison. Accompanying country methodological notes describe the details of debt instruments in each country and provide information on the institutional and regulatory framework as well as on selling techniques of debt instruments. This publication could not have been accomplished without the active contributions by African debt managers and the generous financial contribution by the Icelandic government.

Countries included are: Angola, Cameroon, Gabon, Kenya Madagascar, Malawi, Mauritius, Morocco, Mozambique, Namibia, Nigeria, Sierra Leone, South Africa, Tanzania, Tunisia, Uganda and Zambia.

Objectives and outputs

The African central government debt statistical yearbook provides greatly improved statistics on African central government debt instruments and debt stocks. The focus of the statistics is to analyse in detail marketable and non-marketable debt instruments in African countries with a view to providing an analytical tool, primarily to government debt managers but also to financial analysts from commercial financial institutions, research institutions, central banks, international financial institutions, government agencies, etc. The intention of the OECD Project on African Public Debt Management and Bond Markets is to disseminate annually revisions and updates in the form of paper and electronic editions.

Non-member countries involved in the activity:

Other.

Databases

African Central Government debt statistical yearbook

Main Developments for 2012

General aspects:

Third edition will contain revisions and updates from previous editions.

Bank Profitability - Financial Statements of Banks

Purpose

To compile comprehensive statistics based on financial statements and balance sheets of banks in order to analyse the developments in the profitability of the banking sector of OECD countries.

To provide detailed methodological country notes on the institutional and geographical coverage, the degree of consolidation, the structure of the banking system, the various activities of the banks covered, specific information on individual items, the sources of the data.

Objectives and outputs

The database and publication "Bank Profitability" provide statistical and methodological information to assess the changes in the state of health of national banking systems of OECD countries. They include data on the income statements and balance sheets of a number of bank groupings as well as on the structure of the national financial systems. The statistics relate to all institutions which conduct ordinary banking business, i.e. institutions which primarily take deposits from the public at large and provide finance for a wide range of purposes.

Banking indicators calculated on the basis of the primary data are also provided.

The database has been updated up to 2009 for all countries which were able to provide these data, which is a great improvement in timeliness.

Methodological notes complementing the data have been revised.

Non-member countries involved in the activity:

Russian Federation.

Databases

Bank Profitability - Financial Statements of Banks

Main Developments for 2012

General aspects:

The management of the Bank Profitability database has been provisory suspended in 2011, due to a lack in resources allocated to the Financial Statistics team and to a reorientation of STD priorities.

Data collection:

No change planned because the management of this database is suspended in 2011.

Data management:

None.

Fast-track data collection from largest pension funds worldwide

Purpose

The main goal of this exercise is to help policymakers gain a better understanding of investment strategies and risk management conducted by some of the world's leading pension funds. Further, the study will attempt to explain the extent to which differences in liability structures and country-specific regulation explain differences in the management style of funds.

Objectives and outputs

The questionnaire intends to collect quantitative and detailed qualitative information on investment rate of return, asset allocation, derivatives and operating costs. It also includes detailed questions on pension funds' investments in infrastructure.

In 2011, 23 pension funds in Australia, Brasil, Canada, Chile, Colombia, Denmark, Italy, Mexico, the Netherlands, Peru, Portugal, South Africa, Spain and the United Kingdom participated in the study.

Non-member countries involved in the activity:

Brazil, Colombia, Peru, South Africa.

Main Developments for 2012

General aspects:

Coordination by pension funds' regulators will be encouraged to increase sample size and geographical coverage.

Financial Literacy Measurement

Purpose

To report the levels of financial literacy amongst the adult population in surveyed countries and be able to compare across countries.

Objectives and outputs

Data collection and processing has been undertaken, and an analytical framework has been created.

Initial data analysis has been undertaken, and various measures of financial literacy have been created. The results will be made available in 2012 through one or more working papers.

Non-member countries involved in the activity:

Albania, Armenia, Malaysia, Peru, South Africa.

Monitoring of Insurance Markets: Global Insurance Statistics

Purpose

The recent financial market turmoil and rapid changes in financial markets and financial systems are creating new challenges for financial statistics. The increased complexity and potential opacity of financial sector operations resulting from globalisation and rapid innovation call for further transparency, better and more comprehensive data, and an enhanced capacity to analyse this data.

With a view to contributing to the development of macro-overview of the insurance market, the current standard questionnaire allows to collect key aggregate statistics relating to premium volume, balance sheet and income statement items (e.g., total assets, shareholder equity, technical provisions, net income), and portfolio investments.

Objectives and outputs

In the new framework of insurance statistics, the questionnaire is divided into two parts. The first part includes data on premium and key variables pertaining to the financial strength and profitability of the insurance sector. Data for this first part are collected during the first half of the year.

The second part includes more detailed information on premiums, claims, commissions and expenses, as well as information on reinsurers. Data for this second part are collected during the second half of the year.

Non-member countries involved in the activity:

Hong Kong, Malaysia, Russian Federation, Singapore, Slovenia.

Databases

Insurance

Main Developments for 2012

General aspects:

Further improvements foreseen within the framework of this project will include:

• Accelerating the collection of statistics to enhance timeliness;
• Expanding the current compact set of core statistics and indicators to include additional indicators;
• Organisation of a Global Seminar on Insurance Statistics in Asia. The participation of selected additional countries in the regions will be sought at this occasion;
• Seeking greater synergy between existing OECD insurance and pension statistical activities;
• To provide economic globalisation indicators of insurance statistics to analyse and measure the market share of foreign companies in the global market;
• Extending the geographical scope.

Monitoring of Private Pension Systems: Fast-track data collection

Purpose

The collection of key infra-annual statistical information is meant to improve the timeliness of the release of the OECD funded pension statistics to the public and to other international organisations.

Objectives and outputs

The fast-track data collection allows to collect recent statistical data on the pension fund sector. Only key variables are collected, such as total assets, investment rates of return and funding/solvency levels for DB pension plans.

Non-member countries involved in the activity:

Albania, Brazil, Bulgaria, Colombia, Costa Rica, Hong Kong, Latvia, Liechtenstein, Lithuania, Other, Peru, Republic of Serbia, Romania, Slovenia, South Africa, Thailand, Ukraine.

Main Developments for 2012

General aspects:

The variable 'Net investment return' is now collected to allow the OECD to calculate the investment rate of return, based on a formula agreed by the Task Force on Pension Statistics.

Data collection:

In 2012, countries will be invited to provide data on the net investment return.

Monitoring of Private Pension Systems: Public Pension Reserve Funds

Purpose

Funding is growing in what have been traditionally exclusively PAYG-financed, social security systems. Funding in these systems takes the form of reserve funds, which in most cases are institutions with their own governing board and look like pension funds in many aspects.

The main goal of the statistical exercise on Public Pension Reserve Funds is to collect in-depth and comparable information on these funds, with a focus on assets, asset allocation, and performance.

Objectives and outputs

Since 2003, the OECD collects statistical information on Public Pension Reserve Funds. Between 2003 and 2008, data were collected through information publicly available on the internet. Since 2009, a statistical questionnaire has been developed and allows to collect more in-depth and comparable information on Public Pension Reserve Funds, which is released on a yearly basis in the newsletter Pension Markets in Focus.

Non-member countries involved in the activity:

Argentina.

Main Developments for 2012

General aspects:

A new database will be created in Statworks to include data collected each year from Public Pension Reserve Funds.

Overview of private pension systems (methodological survey)

Purpose

The yearly review of funded pension system at national level intends to provide a benchmarking tool to develop further the understanding of pension systems and their compliance with the OECD classification for funded pension plans and funds. It also provides information related to the statistical data coverage of the OECD Global Pension Statistics.

Objectives and outputs

This annual survey provides comprehensive detailed metadata for the users of funded pension statistics. The survey, based on a standard template, allows the compilation of comprehensive and detailed metadata individually for all OECD and some non-OECD countries. Standard information allows bilateral comparisons and provides, to a large extent, the underlying differences that explain the cross-country discrepancies in funded pension statistics. The survey also allows the monitoring of methodological improvements over time and provides valuable information on the compliance of systems with the OECD Classification of funded pension plans and funds.

Further reading: OECD (2005), Private Pensions: OECD Classification and Glossary, OECD, Paris.

Non-member countries involved in the activity:

Albania, Brazil, Bulgaria, Colombia, Costa Rica, Hong Kong, Macedonia, Other, Republic of Serbia, Romania, Slovenia, Thailand.

Main Developments for 2012

General aspects:

No major changes.

Retirement Savings Adequacy

Purpose

The main goal of this research is to assess whether people are saving enough for retirement and to examine the role that private pensions play and could play in the retirement readiness of the working age population.

Objectives and outputs

The project consists of three phases:

• Phase 1 assesses how much individuals have to finance retirement, considering all pension sources, mainly state pensions, occupational pensions and personal pensions.
• Phase 2 extends the sources available to finance retirement by incorporating other savings that people can tap into at retirement (e.g. life insurance and housing).
• Phase 3 compares retirement income with a suitable reference income to determine whether people are sufficiently prepared to finance their retirement.

In 2012, calculations will be done for 2-3 countries.

Main Developments for 2012

General aspects:

In 2011, calculations of retirement savings adequacy have begun for Germany and the United States. The analysis will be extended to additional countries for the period 2012-2013.

Financial Indicators

Purpose

To capture in quantitative terms an important but heterogeneous and fast evolving area in globalisation of the financial markets and increased sophistication of the actors and activities in these markets.

Objectives and outputs

The Financial Indicators dataset contains financial statistics on six separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, Reserve Assets, International Trade, and Share Prices. In all cases considerable effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series' data to aid with analysis.

Non-member countries involved in the activity:

Brazil, China, Indonesia, Russian Federation, South Africa.

Databases

MEI_FIN

Main Developments for 2012

General aspects:

None expected.

Pension Monitoring

Purpose

In order to ensure that pension reforms are both financially and socially sustainable, it is essential to monitor the outcomes of changes in pension system parameters and rules. The activity uses a microeconomic approach which is particularly suitable for international comparison of pension policies. Prospective individual benefit entitlements from mandatory pension arrangements are modelled for full-career workers at different earnings levels. The framework uses the same economic assumptions for all countries and thereby abstracts from non-pension factors, which often distort international comparisons of pension systems. See www.oecd.org/els/social/ageing/PAG.

Objectives and outputs

To monitor pension systems and pension policies in OECD countries, to collect, up-date and analyse information on pension system rules and parameters and to model prospective pension entitlements for standard retirement, early retirement and interrupted careers. The output of this activity is published in regularly updated reports.

The second edition of Pensions at a Glance Asia/Pacific will be released in early 2012. The Women and Pensions report will be published in March 2012. Regional reports covering LAC and ECA will be produced during the year and work will commence on an update to Pensions Panorama.

In 2011:

• The main Pensions at a Glance publication was released and is available at www.oecd.org/els/social/pensions/PAG
• Key data were disseminated in OECD.Stat via http://stats.oecd.org/Index.aspx?DataSetCode=ELSPENSIONS
• An on-line Pension calculator was updated, via http://www.oecd.org/document/12/0,3343,en_2649_34757_43024076_1_1_1_1,00.html
• Most indicators related to pensions are available on-line in MS-Excel format via www.oecd.org/els/social/pensions/PAG

The fifth edition of Pensions at a Glance will be published in early 2013. The report will include updates of the models with 2010 parameters.

Non-member countries involved in the activity:

Argentina, Bolivia, Brazil, Bulgaria, China, Colombia, Costa Rica, Cyprus, Ecuador, Hong Kong, India, Indonesia, Latvia, Lithuania, Malaysia, Malta, Peru, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand, Uruguay, Venezuela.

Databases

Pension monitoring database

Main Developments for 2012

General aspects:

The range of countries covered under the Pensions at a Glance umbrella is constantly expanding with the update for PaG Asia being released in early 2012. Additional regional publications are also planned to cover the LAC and ECA regions with an update of Pensions Panorama also beginning later in the year. Further areas of analysis will concentrate on periods of career absense because of unemployment as well as the release of the Women and Pensions report in March 2012.

Data management:

The number of indicators covered in the data will be increased leading to the creation of a pensions database.2.5 Government finance, fiscal and public sector statistics (OECD)
Central Government Debt Statistics

Purpose

To provide an analytical tool primarily to government debt managers as well as to financial analysts including policy analysts, security analysts, commercial financial institutions, research analysts, etc. This work is carried out under the auspices of the Working Party on Government Debt Management.

The publication "Central Government Debt - Statistical Yearbook" provides annual statistics on central government debt instruments in the 34 OECD countries. The coverage of the data is limited to central government debt issuance; it excludes state and local government debt and social security funds. The main focus of the statistics is marketable debt instruments as well as duration and average term to maturity of domestic, foreign and total debt.

In addition, the publication provides individual country notes including methodological information such as a description of debt instruments and selling techniques in each country.

Objectives and outputs

In the 2011 edition of the statistical yearbook, 3 new OECD Member countries will be added: Estonia, Israel and Slovenia.

Non-member countries involved in the activity:

World.

Databases

Central Government Debt Statistics

Main Developments for 2012

General aspects:

This data collection is suspended in 2012.

It is replaced by a new data collection launched in January 2012 named "Quarterly Public Sector Debt". Please see the details of this new activity in the 2012 Program of Work.

Data collection:

No data collection is planned in 2012.

Consumption Tax Trends

Purpose

To compile data from OECD member countries on their consumption tax rates, scopes and thresholds and provide comparative tables and analysis of trends. This includes data on VAT/GST, selected excise duties and car taxation. To compile statistics on VAT/GST revenues from internal OECD sources in order to provide an analysis of trends and calculate the VAT Revenue Ratio. To provide information about a number of consumption tax topics.

Objectives and outputs

Objectives: obtain consensus from WP9 delegates on the table of contents (approved in November 2011); Obtain data from member countries (February 2012); Analyse data (February-April 2012); Drafting & special features (April-July 2012); Edition process (July-September 2012); Publication: September 2012.

Non-member countries involved in the activity:

India

Databases

Consumption Tax Trends

Main Developments for 2012

General aspects:

Compared to 2010 Edition, a special chapter will be devoted to application of VAT in federal countries (including Australia, Canada, Brazil and India). New tables will be added on input tax blockings and low consignment reliefs. Methodological amendements will be brought to the calculation of the VAT Revenue Ratio.

Data collection:

None.

Fiscal Relations Across Levels of Government

Purpose

To collect data to support the activities of the Network on Fiscal Relations across Levels of Government. This includes data on sub national governments' discretion over own revenues and expenditures, on the design of local taxes, on intergovernmental transfers, on fiscal equalisation, on indicators of decentralisation, and on macroeconomic management of sub-central finance (fiscal rules).

Objectives and outputs

Collection and user-friendly presentation of revenue and spending shares (sub-central government as a share of general government and GDP).

Databases

Fiscal decentralisation

Main Developments for 2012

General aspects:

More data will be available on OECD.stat. More data will be presented in a user-friendly way on the Fiscal Network's own website.

Monitoring of Private Pension Systems: Global Pension Statistics

Purpose

Launched in 2002 this exercise provides a unique source of comparable statistics and indicators of funded pension plan systems from an international perspective and also facilitates cross-country comparisons of the most up-to-date statistics and indicators on key aspects of funded retirement systems across OECD and non-OECD countries. It aims to provide information about the main trends and features of funded pension plan systems in a clear and concise format.

Objectives and outputs

It aims to provide in a compact manner a comparative overview of the importance and structure of private and funded pension systems across OECD and non-OECD countries using a selected set of statistics and indicators, compiled on an on-going basis together with its companion product dedicated to the description and assessment of countries' statistical methodology following the OECD Classification on pension plans and pension funds.

As far as paper publications are concerned, the newsletter "Pension Markets in Focus" was released in July 2011 and private pension indicators have been included in the flagship publication 'OECD Pensions at a Glance 2011'. Contributions to other OECD publications (e.g. 'OECD in figures', 'OECD Factbook') will continue in 2012 as well as approximately sixty country profiles generated for the IOPS Web site on a yearly basis. In addition, one OECD flagship publication will be published in 2012 including private pension statistics: the 'OECD Pensions Outlook 2012'.

Non-member countries involved in the activity:

Albania, Bolivia, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Hong Kong, India, Indonesia, Kazakhstan, Latvia, Liechtenstein, Lithuania, Macedonia, Peru, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, Slovenia, South Africa, Thailand, Ukraine.

Databases

OECD Global Pension Statistics
Pension indicators

Main Developments for 2012

General aspects:

With respect to quality improvements, the work in 2012 will focus on methodological issues such as valuation methods for assets and liabilities, and review of definitions within the statistical questionnaire.

The geographical scope should be extented to non-member countries, and in particular OECD Accession and Enhanced Engagement countries as well as remaining G20 countries not in the GPS framework yet.

Data collection:

Following discussions within the subgroup of the Task Force on Pension Statistics dealing with quality issues, and after the approval of the Task Force, adjustements will be done to the OECD statistical questionnaire, notably for the definition of variables related to investment income, derivatives and asset allocation.

Data management:

Additional variables should be collected related to asset allocation and derivatives.

OECD Statistical Yearbook on Central Government Debt and Public Debt Policies

Purpose

OECD Statistical Yearbook on Central Government Debt and Public Debt Policies:

The OECD also undertakes the annual collection of data for central government debt according to the specific requirements of the Statistical Yearbook on Central Government Debt which provide detailed breakdowns on public debt management policies and information on related primary and secondary government securities markets. The collection and provision of these additional data can serve as satellite accounts and complementary information. The OECD Statistical Yearbook on Central Government Debt (and Public Debt Policies) is currently being revised partly in response to the G20 Action Plan on Local Currency Bond Markets. To that end, Hans Blommestein, Head of OECD's Public Debt Management and Bond Market Unit, presented papers at the Third International Workshop on Developing Local Bond Markets (hosted by the Bundesbank in Frankfurt on 17-18 November 2011 and organized by the IMF and WBG as part of the implementation of the G20 Action Plan).

Objectives and outputs

Statistics and policy description are published in "Central Government Debt - Statistical and Policy Yearbook" for OECD countries. This publication was issued for the first time in 2000, analysing in detail and country-by-country central government debt in OECD countries. The main focus of the statistics is marketable debt instruments. In addition, the publication provides individual country notes including methodological information as well as a description of debt instruments and selling techniques in each country. The objective is to provide an analytical tool primarily to government debt managers as well as to financial analysts including policy analysts, security analysts, commercial financial institutions, research analysts, etc.

The main objective of provide information on policies is to make available comparable cross-country data on public debt managment strategies, operations and techniques.

Databases

Central Government Debt Statistics

Main Developments for 2012

General aspects:

Preparation of the Central Government: Statistical and Policy Yearbook based on a revised version model of previous annual publications.

Up-date and expand version of the Central Government Debt: Statistical and Policy Yearbook is envisaged. Part of this work constitutes a response to the G20 request on addressing data gaps.

Develop and improve documentation on the sources and methodology of national data as well as debt policies, procedures and techniques.

Data collection:

Prepare the Central Government: Statistical and Policy Yearbook based on a revised version model of previous annual publications.

Revenue Statistics

Purpose

To provide data on tax revenues in OECD countries. These data are widely used within and outside the OECD to analyse tax policy developments in OECD countries.

Objectives and outputs

The annual "Revenue Statistics" publication provides a conceptual framework to define which government receipts should be regarded as taxes and to classify different types of taxes. It presents a set of detailed, internationally comparable tax data in a common format for all OECD countries from 1965 onwards.

Special features dealing with specific areas of interest (e.g. the interpretation of tax-to-GDP ratios; the impact of revised GDP figures on reported tax levels; changes to the rules for attributing revenues by level of government) represent an important component of the annual report.

Databases

Revenue Statistics

Main Developments for 2012

General aspects:

Publish data earlier - by September.

Revenue Statistics in Latin America

Purpose

To provide data on tax revenues for a selection of Latin American countries under an OECD classification system thereby enabling comparisions between LAtin American and OECD countries.

Objectives and outputs

The Revenue Statistics in Latin America" publication provides a conceptual framework to define which government receipts should be regarded as taxes and to classify different types of taxes in 12 selected Latin American and Caribbean countries. It presents a set of detailed, internationally comparable tax data from 1990 onwards in a common format using the same methodology as the OECD Revenue Statistics database. The publication presents detailed cross-country comparisions between individual Latin American economies and also for the first time between them and OECD countries.

Non-member countries involved in the activity:

Argentina.

Databases

Revenue Statistics in Latin America

Main Developments for 2012

General aspects:

Add an additional 3 countries to the 12 countries covered in the first edition of the publication.

Data collection:

Including 3 additional countries to make a total of 15.

Data management:

Coverage extended to 15 countries from 12 previously.

Tax Rates

Purpose

To provide information on tax rates in OECD countries. The taxes covered are personal and corporate income taxes, social security contributions and value added tax. The data are used to analyse tax rate trends and their policy implications.

Objectives and outputs

Data tables showing, for each of the main taxes, the rate and its method of application in each country are disseminated on the OECD website.

Databases

OECD Tax Database.

Taxing Wages

Purpose

To provide annual data for OECD countries on the personal income taxes and social security contributions paid by employees and their employers.

Objectives and outputs

The annual "Taxing Wages" publication details the tax/benefit position of employees, covering personal income tax and social security contributions paid by employees and their employers, and universal cash benefits received by family units. Taxes and benefits are detailed for eight family-types, which differ by income level and household composition. The report also presents the resulting average and marginal tax rates.

Databases

Taxing Wages

Main Developments for 2012

General aspects:

Earlier publication in 2012 compared with May in 2011.

Government at a Glance Indicators

Purpose

To collect comparable data and indicators of good government and efficient public services, and to provide robust empirics with which to assess the impact of public management reforms and progress made in their implementation.

Objectives and outputs

The objective is to presents internationally comparable set of data in order to help decision makers and the public analyse and benchmark government performance. The database includes measures of both the market and non-market activities of government and for selected indicators of government-owned enterprises. Data are based on general government/public sector labor statistics; on detailed information from general government national accounts (investments, public corporations, supply and use tables) and informations collected by GOV surveys on governance as well data collected on government outputs and outcomes by CTP, EDU, ELSA. Government at a Glance indicators are regularly (every second year) published in "OECD Government at a Glance". The last edition (2011) included indicators on public finance and economics, public sector employment; HRM; compensation for key public sector occupations ; regulatory governace; tranparency in governance; service delivery and also output and outcome measures for selected policy sectors and functions.

Non-member countries involved in the activity:

Brazil, China, Egypt, India, Indonesia, Russian Federation, South Africa, Ukraine.

Databases

Government at a Glance Indicators

Main Developments for 2012

General aspects:

In 2012 the main priorities are to consolidate the existing database with the introduction of periodical updates of such database for selected indicators. Moreover, priority is to implement the development of new indicators for Government at a Glance 2013 focusing on service delivery, rule of law and better indicators for the the implementation and results of various public management and governance practices.

Data management:

Planning to introduce periodical updates of the dataset for selected indicators.

Benefits and Wages

Purpose

Monitor reforms of tax and benefits systems and their impact on work incentives and income adequacy. Results are used as the basis of the OECD's "Benefits and Wages" publication and as inputs into a wide range of studies produced within and outside the OECD. In addition, the group develops and maintains tax-benefit models. These computer models allow a wide range of tax and benefit indicators to be produced. Finally, the online "tax-benefit calculator" and tax-benefit models for 32 OECD and an additional 6 EU countries are available on the web-page www.oecd.org/els/social/workincentives and are updated annually.

Objectives and outputs

The Benefits and Wages series addresses the complicated interactions of tax and benefit systems for different family types and labour market situations. The series is a valuable tool used to compare the different benefits made available to those without work and those with different levels of in-work income. The resulting indicators (such as 'net replacement rates') are useful for addressing issues of both work incentives and adequacy of household incomes.

Recent updates include calculations of incomes and work incentives net of childcare costs. Country coverage was recently extended to include Estonia, Israel and Slovenia, and, as part of a grant agreement with the European Commission, the new EU Members States who are not currently members of the OECD: Bulgaria, Cyprus, Latvia, Lithuania, Malta and Romania. Preliminary models have been developed for Russia. Finally, ad-hoc (2009) models were developed jointly with the World Bank for a number of south-eastern European countries: Bosnia and Herzegovina, Former Yugoslav Republic of Macedonia (FYROM), Serbia.

An interface for interactive web access to tax-benefit models has been developed ("tax-benefit calculator") and is available on the web-page www.oecd.org/els/social/workincentives. Also available on this web page are country files and model output for 38 countries.

Non-member countries involved in the activity:

Bosnia and Herzegovina, Bulgaria, Cyprus, Latvia, Lithuania, Macedonia, Malta, Republic of Serbia, Romania, Russian Federation, Slovenia.

Databases

Benefits and Wages

Main Developments for 2012

General aspects:

On-line publication of 2010 tax-benefit models, country files and an expanded range of work incentive and income adequacy indicators for 38 countries. Ad hoc update of policy summary tables. Development of 2011 models for 39 countries (adding Chile). Commence up-date of synthetic earnings distribution data, by gender, to latest post-crisis year available.

Data collection:

Include Chile.2.6 International trade and balance of payments (OECD)
Creditor Reporting System (CRS) Aid Activity Database

Purpose

Provide Members of the Development Assistance Committee (DAC) and the international aid community a set of readily available basic data that enables analysis on where aid goes, what purposes it serves and what policies it aims to implement. The DAC uses the data for consideration of specific policy issues and for monitoring donors' compliance with various international recommendations in the field of development co-operation. Outside the DAC, the data is mainly used to analyse the sectoral and geographical breakdown of aid for selected years and donors or groups of donors.

Objectives and outputs

Improve consistency, presentation and coverage to reflect current development co-operation priorities and classifications. Continue work on converging DAC and CRS datasets. Improve reporting and timeliness at an activity level.

Since 2008 (reporting on 2007 flows) the CRS includes the Trade capacity Building Database (TCBDB) operated previously by WTO.

Databases

Creditor Reporting System (CRS) Aid Activity Database

Main Developments for 2012

General aspects:

No major changes.

Data collection:

No major changes.


Database on Country Programmable Aid (CPA database)

Purpose

Provide members of the Development Assistance Committee (DAC) and the international aid community a set of readily of available statistics on country programmable aid (CPA) flows. This new measure of aid comes much closer to capturing the flows received and recorded in country aid management systems than measures of total aid (ODA - official development assistance). CPA is estimated on the basis of the standard DAC statistics (DAC and CRS) and defined through exclusion, by subtracting from total gross ODA aid that is: unpredictable by nature (humanitarian aid and debt relief); entails no cross-border flows (administrative costs, imputed student costs, promotion of development awareness, and research and refugees in donor countries); does not form part of co-operation agreements between governments (food aid and aid from local governments); or is not country programmable by the donor (core funding of NGOs). The database provides reference data to DAC and other stakeholders for the analysis of fragmentation and planned forward spending of aid.

Objectives and outputs

To provide timely and comprehensive statistics on country programmable aid (CPA) for all countries and territories on the DAC List of ODA Recipients. To provide reference data for the annual Report of the Survey of Indicative Forward Spending Plans and for the annual Report on Division of Labour and global fragmentation.

Main Developments for 2012

General aspects:

Further strengthening the methodology to derive CPA.

Official and Private Resource Flows from DAC Members to Developing Countries

Purpose

The Development Assistance Committee (DAC) database provides comprehensive data on the volume, origin and types of aid and other resource flows to over 150 aid recipients. The data shows each aid recipient's receipts of official development assistance (ODA), other official flows and private flows from members of the DAC, multilateral agencies and other non-DAC donors.

Objectives and outputs

To provide timely and comprehensive statistics of official and private flows to all countries and territories on the DAC list of ODA recipients. Improve consistency, presentation and coverage to reflect current development co-operation priorities and classifications.

Update reporting guidance to maintain comparable statistics and improve reporting and comparability of statistics on the tying status of aid.

Support work on changing patterns of development finance and the increasing role of private flows.

Databases

Database on official and private resource flows from DAC Members to developing countries.

Main Developments for 2012

General aspects:

Continue with converging DAC data collections (CRS and DAC); propose converged directives for approval; further work on improving access to data, possible sharing of data with developing countries, and continuing help from Secretariat to members in improving statistical quality and timeliness.

Continue work on non-ODA flows which examines types of development financing other than ODA (non-concessional official loans inc. export credits, private flows inc. remittances, guarantee schemes). This analysis will focus on both the volume and developmental relevance of these flows.

DAC interest: DAC members afforded a high priority to this work during discussions of the PWB for 2011-2012, consequently (and based on the progress of work).

Data collection:

Improve types of aid reporting and convergence of DAC data collections (CRS+DAC).

Balance of Payments

Purpose

To collect and publish timely, accurate and internationally comparable Balance of Payments statistics to meet OECD user needs and in support of identified data needs.

Objectives and outputs

To provide timely summary quarterly statistics on Balance of Payments. To improve the efficiency of data collection, timeliness, international comparability and quality of the published balance of payments data on the MEI database. To contribute as appropriate to the OECD Quarterly Trade Press Release. To contribute to methodological work on Balance of Payments. To improve information on remittance flows to meet user needs. Integrate Enhanced Engagement countries.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

Balance of Payments
MEI_BOP

Main Developments for 2012

General aspects:

The SDMX coding for BOP in BPM6 including the extended Balance of Payments in Services classification will be elaborated in coordination with OECD/DAF and other International Organisations.

Data collection:

Improve the efficiency and timeliness of data collection. Find new data for non member countries.

International Coordination of trade in Services Statistics

Purpose

Given the wide variety of activities carried out by national and international organisations related to trade in service statistics, to improve coordination of international development work on trade in services statistics and facilitate a strategic view of priority needs. To provide an overview of these activities and facilitate communication between international expert groups involved. To identify overlaps, links and gaps in international work on methodological issues and data collection.

Objectives and outputs

In cooperation with UNSD, provide a report to the UN Statistics Commission (UNSC) on coordination of trade in services statistics, with proposals on strategy, as requested by UNSC.

Facilitate coordination on service statistics by providing central information point on services statistics developments, gathering information from active groups, and create and maintain web pages on international developments in services statistics.

Non-member countries involved in the activity:

Brazil

Main Developments for 2012

General aspects:

Continue to chair and coordinate the work of the Task Force on Statistics on International Trade in Services (TFSITS).Cooperate on the work related to the Trade in services compiler's guide.

International Trade in Goods

Purpose

To produce consistent and timely international trade data for OECD member countries and ensure methodological soundness and comparability of international trade data. To conduct research to improve the quality of the concepts underlying international trade data and play an active role in the development of international standards.

Objectives and outputs

Collects and maintains two databases for analytical use: (a) monthly data of exports and imports at current prices by partner countries and main categories of commodities, and volume and average value indices for selected countries and main categories; and (b) detailed annual data of exports and imports by commodities and by partner countries using three classifications (SITC, HS, ISIC).

Full implementation of the OECD-UNSD data sharing agreement covering all OECD member countries. A successful completion of the first phase (data collection and transmission to UNSD) of this initiative has already resulted in a reduction of the response burden for member countries and has led in 2006 to identical trade figures published by both the UN and the OECD (processed data). The OECD meeting of experts in international trade will continue to stimulate the exchange of views and research on methodological issues.

OECD continues to participate in and contribute to the Inter-Agency Merchandise Trade Task Force and manages, and moderates together with WTO, the EDG "Tradenet" on methodological and co-ordination issues affecting various national and international organisations.

Non-member countries involved in the activity:

Brazil, China, Chinese Taipei, Russian Federation, Slovenia.

Databases

International trade by Commodity Statistics
Monthly Statistics of International Trade

Main Developments for 2012

General aspects:

In 2012, data quality and timeliness of processed data should be further improved as it is planned to implement "data capture" checks in order to facilitate the upload of data into ITCS.

ITCS in OECD.Stat has continued stabilizing in 2011. For users efficiency results have been gained thanks to the better awareness of the possibility of a direct link to the trade data in the format of SQL tables. Also the architecture of ITCS with a direct link to OECD.stat has proven to function well with better performances and better timeliness.

In the context of the 2011-2012 bienium project of implementation of Unit value Indexes to the annual trade database, research will be continued on an outlier detection method that can fit with the data provided with the different members of the OECD

Data collection:

Concurrent use of the ITCS OECD-UNSD common data collection and processing system and the OECD trade ITCS in OECD.Stat. Full addition of ISIC classification.

International Trade in Services

Purpose

To provide detailed, relevant and internationally comparable data for trade policy and economic analysis. The information needs of international trade negotiations including the General Agreement on Trade in Services and the observed increase in internationalisation of services production are driving new developments.

Objectives and outputs

An annual joint effort publication with Eurostat and database: "OECD Statistics on International Trade in Services - Detailed tables by category of service". This covers the 34 member countries. Data are based on the concepts of the IMF's 5th Balance of Payments Manual (except for Australia that already moved to BPM6) and are broken down according to the detailed EBOPS Classification of Trade in Services with the exception of Australia which has started compiling information according to BPM6. The publication "OECD Statistics on International Trade in Services - Detailed Tables by Partner Country" provides bilateral service trade flows for 33 member countries, Hong Kong SAR and Russian Federation.

Coordinate the work of the Interagency Task Force on Statistics of International Trade in Services. Contribute to the Trade in services compilation Guide. Contribute to organisation of the WP on trade in goods and trade in services statistics.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

International trade in services by category of service (TIS)
OECD Statistics on International Trade in Services by Service Category and by Partner Country

Main Developments for 2012

General aspects:

The SDMX coding for BOP in BPM6 including the extended Balance of Payments in Services classification will be elaborated in coordination with OECD/DAF and other International Organisations.

Facilitate to the extent possible links between the classifications EBOPS and ISIC.

Continue Implementing EBOPS 2010 in Statworks and upload countries that have adopted the new standards.

Improve the timeliness, with rolling updates, and detail of published data. Monitor progress in the implementation of MSITS recommendations.

Contribute to OECD analytical work and in particular work closely with TAD and STI on data needs for the Services Trade Restrictiveness Index. Improve estimates of world trade flows of services.

Cooperate with Eurostat to collect and make available as far as possible partner country data on remittances.

Develop cooperation with UNSD and other agencies on data sharing in trade in services.

Initiate merge of the Trade in Services by category and by partner country in order to save resources to be allocated to the development of databases and metadata related to the new standards.

Cooperate with WTO to elaborate the annual World Matrix of bilateral services flows.

Data collection:

Pursue rolling update of trade in services by partner country data as data become available. Countries that are sent an excel questionnaire will be asked to fill it in. A second best would now be for them to provide us with their data in an SDMX format.

Joint OECD/UNSD Annual Trade System

Purpose

Maintain International Trade Database to manage Annual and Monthly statistics in collaboration with the United Nations Statistics Division.

Objectives and outputs

Technical maintenance and small enhancements to the system.

Main Developments for 2012

General aspects:

Technical maintenance and small enhancements.

Monthly International Trade

Purpose

To produce consistent and timely international trade data for OECD member countries, ensure methodological soundness and comparability of international trade data, conduct research to improve the quality of the concepts underlying international trade data and play an active role in the development of international standards.

Objectives and outputs

Collect data and maintain database for analytical use: monthly data of exports and imports at current prices by partner countries and main categories of commodities, and volume and average value indices for selected countries and main categories. Continuous and close co-operation with key users at OECD. Updating cycles optimised to respond to needs of Economic Outlook. Online availability of OECD's detailed international trade data. OECD continues to actively participate and contribute to the International Trade Task Force (Inter-Agency TF).

Non-member countries involved in the activity:

Slovenia

Databases

Monthly Statistics of International Trade (MSIT)

Main Developments for 2012

General aspects:

No major changes.

Services Trade Restrictiveness Index

Purpose

The STRI database will be a unique resource providing internationally comparable current information on regulatory policies affecting trade in services.

Objectives and outputs

The main achievements for 2011 are:

• Complete refinement of the entire regulatory database;
• Verification of 95% of the OECD member countries and complete verification of 50% of them;
• Extension to 6 new sectors;
• Countries and experts are now convinced of the utility of such a tool.

Non-member countries involved in the activity:

India, Slovenia.

Main Developments for 2012

General aspects:

The regulatory database for the pilot sectors should be finalised during the first half of 2012. A first version of the interface developed by the OECD for dissemination of qualitative information should The coverage of the new sectors has already started for 30% of the countries.

STAN Bilateral Trade Database by Industry and End-use (BTDIxE)

Purpose

The STAN Bilateral Trade Database by industry and end-use (BTDIxE) is a new tool for analysing global production networks. This database presents international trade in goods broken down both by industrial sectors and by end-use categories for the period 1995-2010, allowing, for example, insights into the patterns of trade in intermediate goods between countries to track global production networks and supply chains, and helping to address policy issues such as trade in value added and trade in tasks. In particular, it is designed for linking OECD Input-Output tables to allow development and user of inter-country I-O models.

BTDIxE is an extension of the "traditional" BTD - maintained since the mid-1990s and covering total trade by industry only. The BTDIxE industry list provides sufficient detail to enable users to highlight high-technology sectors and is compatible with those used in related OECD databases. The end-use category list includes the three broad SNA categories: capital goods, intermediate goods and household consumption.

Objectives and outputs

A first version of BTDIxE was released at the end of 2011 together with documentation in the form of STI Working Paper (DSTI/DOC(2011)6. Figures provided for all OECD countries and 30 non-OECD countries. Data to 2010 for 56 out of 64 countries.

To build the data set, 8 conversion keys were developed - from each version of HS (1988, 1996, 2002 and 2007) to both ISIC Rev.3 and End-uses (via BEC).

Non-member countries involved in the activity:

Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Croatia, Cyprus, Hong Kong, India, Indonesia, Latvia, Lithuania, Macedonia, Malaysia, Malta, Moldova, Other, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand.

Databases

STAN Bilateral Trade Database by Industry and End-use (BTDIxE)

Main Developments for 2012

General aspects:

• Complete update to 2010 for all countries;
• Include trade flows adjusted for Hong Kong re-exports;
• Undertake further country specific adjustments as required;
• Add countries / country groups according to demand;
• Embark on development of new trade indicators based on BTDIxE;
• Draft paper based on analytical use of BTDIxE;
• Develop and implement a concordance key for converting HS product data to ISIC Rev. 4.

Trade by enterprise characteristics

Purpose

To measure, on the one hand, the contribution of real economic sectors to international trade, and on the other hand, to complement business data with detailed information on trade, which is traditionally not part of business statistics.

Objectives and outputs

Under guidance of the Business Economic Statistics and Trade (BEST) Steering Group, a first OECD Linkage Table, which is based on Eurostat's Standardisation Document Rev. 2, was sent out to participating Non-EU-OECD member countries. Up to now, OECD has received data collection tables from Canada, Israel, Norway and the United States. In addition, Eurostat provided OECD with the respective (published) data tables of several EU member states for reference years 2005-7. After reclassification of the Eurostat data to OECD standards (ISIC and CPC classifications, USD currency and OECD geo-nomenclature), these were integrated to the Trade by enterprise characteristics (TEC) database of the OECD, available in the globalisation cube of OECD.Stat.

Databases

Trade by Enterprise Characteristics

Main Developments for 2012

General aspects:

In 2012, the data collection will include more recent reference years and more countries, by inviting a wider group of OECD member countries. A close cooperation with Eurostat will be maintained.

The Handbook on Trade Microdata is expected to be completed in 2012 and submited to the BEST Steering Group.2.7 Prices (OECD)
Price Indicators

Purpose

To provide a set of relevant, reliable, timely, monthly and quarterly price indices (CPI and Producer Price Indices) for internal and external users. To provide methodological information on these price indices.

Objectives and outputs

• The 'Price Indices' dataset in the Main Economic Indicators (MEI) database contains statistics on Consumer prices, Producer prices and Construction costs for 34 OECD member, Russian Federation and 5 B(R)IICS countries. The data series presented within these subjects have been chosen as the most relevant prices statistics in the MEI database for which comparable data across countries is available. In all cases much effort has gone into ensuring international comparability and into the availability of historical time-series for analysis.
• Revision of the Methodological guide for developing producer price indices for services.

Databases

MEI
MEI_PRICE

Main Developments for 2012

General aspects:

• Finalisation of the Methodological guide for developing producer price indices for services with a view to finalising work in 2012.
• Continue to improve the dissemination of price indices.

Data management:

Harmonisation of metadata across countries and introduction of new inflation measures.

Purchasing Power Parities

Purpose

Produce reliable and timely Purchasing Power Parities (PPPs) data for OECD member countries. PPPs are an important tool to compare levels of real income or real output across countries with indicators such as GDP per capita and relative price levels between countries.

Objectives and outputs

• Organisation of the data collection for the 2011 round which started in 2009 and covers 47 countries (30 OECD countries and 17 non-member countries).
• Work closely with Eurostat to further harmonise the methodology employed. Participate in the ad-hoc task forces set up by Eurostat to discuss various issues associated with PPPs 9Revision of the (PPP manual).
• Provide technical input into the 2011 round of the ICP currently being organised by the World Bank.
• Work closely with ELS on devleoping a new methodology for health specific PPPs (publication of a WP on hospital price levels).

Databases

ANA
Purchasing Power Parities

Main Developments for 2012

General aspects:

Finalise the methodology to calculate specific PPPs for health for all countries participating in the Eurostat-OECD PP manual.

Provide technical input into the 2011 round of the ICP currently being organised by the World Bank.

Publication of the revised OECD Eurostat-OECD PPP manual.

Calculation of the preliminary results of the 2011 Round.2.9 Science and technology (OECD)
Analytical Business Enterprise Research and Development

Purpose

To provide a consistent and comparable data set across countries and over time on industrial R&D expenditures broken down by industry.

Objectives and outputs

The ANBERD (Analytical Business Enterprise Research and Development) database is continually revised to enhance the international comparability of time series on business enterprise R&D expenditure (BERD) by industry.

Non-member countries involved in the activity:

China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Analytical Business Enterprise Research and Development (ANBERD)

Main Developments for 2012

General aspects:

In 2011 the country coverage was expanded and improved data processing and checking routines were implemented. In 2012, the estimation techniques for missing data will continue to be improved and preparations will be made for the forthcoming move to ISIC Rev.4.

Data management:

Adapt the data production system to move from ISIC Rev3. to Rev4.

Biotechnology

Purpose

To establish international standards for the collection of biotechnology data across OECD member countries.

Objectives and outputs

Under the auspices of the National Experts of Science and Technology Indicators (NESTI) group, six Ad hoc Biotechnology Statistics meetings have been held to date. These meetings have achieved: an internationally agreed upon definition of biotechnology, a model survey for the collection of biotechnology data in member countries, and an inventory of biotechnology data collected in member and selected non-member countries.

OECD Biotechnology Statistics was released in 2009.

Key Biotechnology Statistics is updated annually and published online.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa, Thailand.

Main Developments for 2012

General aspects:

Additional countries.

Careers of Doctorate Holders

Purpose

Collect data on the labour market outcome and mobility of doctorate holders.

Objectives and outputs

Collect data and update internal database, use data for analysis at the macro level, launch work using micro-data with interested countries, evaluate data collection and revise methodology accordingly.

Non-member countries involved in the activity:

Bulgaria, Chinese Taipei, Croatia, Latvia, Lithuania, Malta, Romania, Russian Federation.

Databases

Indicators on Careers of Doctorate Holders

Main Developments for 2012

Data management:

New dataset.

Main Science and Technology Indicators

Purpose

To publish biannually the most commonly used indicators on science and technology on an internationally comparable basis. The database and publication are regularly updated with 76 (paper publication) to 140 (electronic publication) data series presenting resources devoted to R&D and measures of output and the impact of S&T activities.

Objectives and outputs

This biannual publication provides a set of indicators that reflect the level and structure of the efforts undertaken by OECD member countries and 7 non-member economies in the field of science and technology. These data include final and provisional results as well as forecasts established by government authorities. The indicators cover the resources devoted to research and development, patent families, technology balance of payments and international trade in highly R&D intensive industries. Also presented are the underlying economic series used to calculate these indicators. Series are presented for a reference year and the last six years for which data are available (paper publication) and beginning 1981 (electronic editions).

Non-member countries involved in the activity:

Argentina, China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Main Science and Technology Indicators

Main Developments for 2012

Data management:

MSTI database production system: migration from StatWorks to SAS software (2010-Q4).

Patent Statistics

Purpose

To develop an international statistical infrastructure for patents (including databases and methodologies), which will provide the conditions for improving the quality and international comparability of patent indicators. Development of policy-relevant indicators from this work. Serves as a basis for policy relevant studies carried out within and outside OECD.

Objectives and outputs

The main objective is to develop patent databases suitable for calculating indicators for statistical and S&T/Entrepreneurship policy purposes, covering patent filings to national and regional patent offices across the world.

Currently, the following patent statistics are collected and processed on a regular basis: indicators based on EPO (European Patent Office) patent; indicators based on USPTO (US Patent and Trademark Office) patents; indicators based on patent applications filed under the PCT (Patent Co-operation Treaty) and "triadic" patent families indicators. EPO and PCT data are also broken at the lowest regional level (NUTS3/TL3) for all OECD countries and selected economies.

Patent statistics are published in various publications: Main Science and Technology Indicators; OECD Science, Technology and Industry Scoreboard; OECD Science, Technology and Industry Outlook and in the Statistical compendium of the Innovation Strategy

"Measuring innovation: a new perspective".

The focus of the methodological work is to provide guidelines for compiling patent statistics and indicators, and to provide users with methodological information in a transparent manner. The following issues have been investigated: criteria for counting patent data; triadic patent families' definition; patent data for specific technology area; patent data by industry, patents by region and patent citations. The OECD Patent Statistics Manual 2009 provides further guidelines for analysing and building patent statistics in the framework of S&T indicators.

A matching exercise is currently being performed at the micro-data level, linking the patent data to the firm level databases (e.g. ORBIS database of Bureau van Dijk) using the patent applicant name. A database on harmonised patent applicant's names (HAN) is available to researchers. It is currently being improved and expanded, and is used to build new indicators at the firm level.

Similar work is also conducted for other intellectual property assets such as Trademarks.

Regular conferences on IP-related statistics are jointly organised by OECD, EPO, USPTO, JPO, WIPO and Eurostat.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Europe, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.

Main Developments for 2012

General aspects:

Updating the existing patent database; extending the data coverage (i.e. to include information from more national patent offices); expand the exercise of harmonising patent applicant's names and matching with firm-level databases, development of further patent indicators (reflecting globalisation, specific technologies); development of citations indicators, development of further analytical applications of patent data, patents by industry.

Increased use by other directorates (e.g. ECO, ENV, GOV, STD) expected in 2012.

Further work to develop Trademark data are also expected.

Another matching exercise is experimented to link patent data (with the citations of non-patent literature) to scientific publication data (using Elsevier's SCOPUS database).

Research and Development (R&D) Statistics

Purpose

To provide internal and external users with statistics on R&D expenditures and personnel and to ensure, through appropriate methodological work, the international comparability of corresponding national statistics.

Objectives and outputs

Management and/or development of internationally comparable statistics on resources devoted to R&D in member countries and in seven non-member economies based on the OECD international methodology for R&D survey, the "Frascati Manual". Diffusion of S&T statistics and corresponding metadata via the annual "R&D Statistics" and the biannual "Main S&T Indicators" publications and the on-line "R&D Sources and Methods database". The country coverage of OECD S&T databases and publications is being expanded to include comparable S&T indicators and statistics for non-member economies such as Argentina, China, Romania, Russia, Singapore, South Africa and Chinese Taipei.

Non-member countries involved in the activity:

Argentina, China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Research and Development Statistics (RDS)

Main Developments for 2012

General aspects:

Plan to publish ISIC Rev. 4, depending on the availability of data at the national level.

Sources and Methods for Research and Development (R&D) Statistics

Purpose

To meet demand for country-specific and item-specific methodology, this database relates principally to R&D as reported by the units performing the R&D in line with the standard methodology for R&D statistics recommended by OECD in the Proposed Standard Practice for Surveys of Research and Experimental Development - Frascati Manual (OECD).

Objectives and outputs

The database provides detail on methods used in the member countries and seven non-member economies when compiling the R&D data reported to OECD in the framework of the International Survey of the Resources devoted to R&D by OECD countries, underlining both current and historical national specificities of the data stored in the OECD STI/EAS R&D database. The sources and methods are regularly updated as part of the International Survey of the Resources devoted to R&D by OECD countries. The Secretariat has made this database available on line either through the NESTI-NET: http://webdomino1.oecd.org/COMNET/STI/NESTI-NET.nsf/Welcome?openframeset, or via http://webnet.oecd.org/rd_gbaord_metadata/default.aspx where delegates and the public are able to consult.

Selected metadata are regularly published in "Research and Development Statistics" (annual electronic publication) as well as in "Main Science and Technology Indicators" (paper and electronic publication appearing twice yearly). This information was also used as input to the revision of the "Frascati Manual", the international standard methodology for the measurement of resources devoted to R&D.

Non-member countries involved in the activity:

Argentina, China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

R&D_SM database


2.5 Government finance, fiscal and public sector statistics (OECD)
Central Government Debt Statistics

Purpose

To provide an analytical tool primarily to government debt managers as well as to financial analysts including policy analysts, security analysts, commercial financial institutions, research analysts, etc. This work is carried out under the auspices of the Working Party on Government Debt Management.

The publication "Central Government Debt - Statistical Yearbook" provides annual statistics on central government debt instruments in the 34 OECD countries. The coverage of the data is limited to central government debt issuance; it excludes state and local government debt and social security funds. The main focus of the statistics is marketable debt instruments as well as duration and average term to maturity of domestic, foreign and total debt.

In addition, the publication provides individual country notes including methodological information such as a description of debt instruments and selling techniques in each country.

Objectives and outputs

In the 2011 edition of the statistical yearbook, 3 new OECD Member countries will be added: Estonia, Israel and Slovenia.

Non-member countries involved in the activity:

World.

Databases

Central Government Debt Statistics

Main Developments for 2012

General aspects:

This data collection is suspended in 2012.

It is replaced by a new data collection launched in January 2012 named "Quarterly Public Sector Debt". Please see the details of this new activity in the 2012 Program of Work.

Data collection:

No data collection is planned in 2012.

Consumption Tax Trends

Purpose

To compile data from OECD member countries on their consumption tax rates, scopes and thresholds and provide comparative tables and analysis of trends. This includes data on VAT/GST, selected excise duties and car taxation. To compile statistics on VAT/GST revenues from internal OECD sources in order to provide an analysis of trends and calculate the VAT Revenue Ratio. To provide information about a number of consumption tax topics.

Objectives and outputs

Objectives: obtain consensus from WP9 delegates on the table of contents (approved in November 2011); Obtain data from member countries (February 2012); Analyse data (February-April 2012); Drafting & special features (April-July 2012); Edition process (July-September 2012); Publication: September 2012.

Non-member countries involved in the activity:

India

Databases

Consumption Tax Trends

Main Developments for 2012

General aspects:

Compared to 2010 Edition, a special chapter will be devoted to application of VAT in federal countries (including Australia, Canada, Brazil and India). New tables will be added on input tax blockings and low consignment reliefs. Methodological amendements will be brought to the calculation of the VAT Revenue Ratio.

Data collection:

None.

Fiscal Relations Across Levels of Government

Purpose

To collect data to support the activities of the Network on Fiscal Relations across Levels of Government. This includes data on sub national governments' discretion over own revenues and expenditures, on the design of local taxes, on intergovernmental transfers, on fiscal equalisation, on indicators of decentralisation, and on macroeconomic management of sub-central finance (fiscal rules).

Objectives and outputs

Collection and user-friendly presentation of revenue and spending shares (sub-central government as a share of general government and GDP).

Databases

Fiscal decentralisation

Main Developments for 2012

General aspects:

More data will be available on OECD.stat. More data will be presented in a user-friendly way on the Fiscal Network's own website.

Monitoring of Private Pension Systems: Global Pension Statistics

Purpose

Launched in 2002 this exercise provides a unique source of comparable statistics and indicators of funded pension plan systems from an international perspective and also facilitates cross-country comparisons of the most up-to-date statistics and indicators on key aspects of funded retirement systems across OECD and non-OECD countries. It aims to provide information about the main trends and features of funded pension plan systems in a clear and concise format.

Objectives and outputs

It aims to provide in a compact manner a comparative overview of the importance and structure of private and funded pension systems across OECD and non-OECD countries using a selected set of statistics and indicators, compiled on an on-going basis together with its companion product dedicated to the description and assessment of countries' statistical methodology following the OECD Classification on pension plans and pension funds.

As far as paper publications are concerned, the newsletter "Pension Markets in Focus" was released in July 2011 and private pension indicators have been included in the flagship publication 'OECD Pensions at a Glance 2011'. Contributions to other OECD publications (e.g. 'OECD in figures', 'OECD Factbook') will continue in 2012 as well as approximately sixty country profiles generated for the IOPS Web site on a yearly basis. In addition, one OECD flagship publication will be published in 2012 including private pension statistics: the 'OECD Pensions Outlook 2012'.

Non-member countries involved in the activity:

Albania, Bolivia, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Hong Kong, India, Indonesia, Kazakhstan, Latvia, Liechtenstein, Lithuania, Macedonia, Peru, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, Slovenia, South Africa, Thailand, Ukraine.

Databases

OECD Global Pension Statistics
Pension indicators

Main Developments for 2012

General aspects:

With respect to quality improvements, the work in 2012 will focus on methodological issues such as valuation methods for assets and liabilities, and review of definitions within the statistical questionnaire.

The geographical scope should be extented to non-member countries, and in particular OECD Accession and Enhanced Engagement countries as well as remaining G20 countries not in the GPS framework yet.

Data collection:

Following discussions within the subgroup of the Task Force on Pension Statistics dealing with quality issues, and after the approval of the Task Force, adjustements will be done to the OECD statistical questionnaire, notably for the definition of variables related to investment income, derivatives and asset allocation.

Data management:

Additional variables should be collected related to asset allocation and derivatives.

OECD Statistical Yearbook on Central Government Debt and Public Debt Policies

Purpose

OECD Statistical Yearbook on Central Government Debt and Public Debt Policies:

The OECD also undertakes the annual collection of data for central government debt according to the specific requirements of the Statistical Yearbook on Central Government Debt which provide detailed breakdowns on public debt management policies and information on related primary and secondary government securities markets. The collection and provision of these additional data can serve as satellite accounts and complementary information. The OECD Statistical Yearbook on Central Government Debt (and Public Debt Policies) is currently being revised partly in response to the G20 Action Plan on Local Currency Bond Markets. To that end, Hans Blommestein, Head of OECD's Public Debt Management and Bond Market Unit, presented papers at the Third International Workshop on Developing Local Bond Markets (hosted by the Bundesbank in Frankfurt on 17-18 November 2011 and organized by the IMF and WBG as part of the implementation of the G20 Action Plan).

Objectives and outputs

Statistics and policy description are published in "Central Government Debt - Statistical and Policy Yearbook" for OECD countries. This publication was issued for the first time in 2000, analysing in detail and country-by-country central government debt in OECD countries. The main focus of the statistics is marketable debt instruments. In addition, the publication provides individual country notes including methodological information as well as a description of debt instruments and selling techniques in each country. The objective is to provide an analytical tool primarily to government debt managers as well as to financial analysts including policy analysts, security analysts, commercial financial institutions, research analysts, etc.

The main objective of provide information on policies is to make available comparable cross-country data on public debt managment strategies, operations and techniques.

Databases

Central Government Debt Statistics

Main Developments for 2012

General aspects:

Preparation of the Central Government: Statistical and Policy Yearbook based on a revised version model of previous annual publications.

Up-date and expand version of the Central Government Debt: Statistical and Policy Yearbook is envisaged. Part of this work constitutes a response to the G20 request on addressing data gaps.

Develop and improve documentation on the sources and methodology of national data as well as debt policies, procedures and techniques.

Data collection:

Prepare the Central Government: Statistical and Policy Yearbook based on a revised version model of previous annual publications.

Revenue Statistics

Purpose

To provide data on tax revenues in OECD countries. These data are widely used within and outside the OECD to analyse tax policy developments in OECD countries.

Objectives and outputs

The annual "Revenue Statistics" publication provides a conceptual framework to define which government receipts should be regarded as taxes and to classify different types of taxes. It presents a set of detailed, internationally comparable tax data in a common format for all OECD countries from 1965 onwards.

Special features dealing with specific areas of interest (e.g. the interpretation of tax-to-GDP ratios; the impact of revised GDP figures on reported tax levels; changes to the rules for attributing revenues by level of government) represent an important component of the annual report.

Databases

Revenue Statistics

Main Developments for 2012

General aspects:

Publish data earlier - by September.

Revenue Statistics in Latin America

Purpose

To provide data on tax revenues for a selection of Latin American countries under an OECD classification system thereby enabling comparisions between LAtin American and OECD countries.

Objectives and outputs

The Revenue Statistics in Latin America" publication provides a conceptual framework to define which government receipts should be regarded as taxes and to classify different types of taxes in 12 selected Latin American and Caribbean countries. It presents a set of detailed, internationally comparable tax data from 1990 onwards in a common format using the same methodology as the OECD Revenue Statistics database. The publication presents detailed cross-country comparisions between individual Latin American economies and also for the first time between them and OECD countries.

Non-member countries involved in the activity:

Argentina.

Databases

Revenue Statistics in Latin America

Main Developments for 2012

General aspects:

Add an additional 3 countries to the 12 countries covered in the first edition of the publication.

Data collection:

Including 3 additional countries to make a total of 15.

Data management:

Coverage extended to 15 countries from 12 previously.

Tax Rates

Purpose

To provide information on tax rates in OECD countries. The taxes covered are personal and corporate income taxes, social security contributions and value added tax. The data are used to analyse tax rate trends and their policy implications.

Objectives and outputs

Data tables showing, for each of the main taxes, the rate and its method of application in each country are disseminated on the OECD website.

Databases

OECD Tax Database.

Taxing Wages

Purpose

To provide annual data for OECD countries on the personal income taxes and social security contributions paid by employees and their employers.

Objectives and outputs

The annual "Taxing Wages" publication details the tax/benefit position of employees, covering personal income tax and social security contributions paid by employees and their employers, and universal cash benefits received by family units. Taxes and benefits are detailed for eight family-types, which differ by income level and household composition. The report also presents the resulting average and marginal tax rates.

Databases

Taxing Wages

Main Developments for 2012

General aspects:

Earlier publication in 2012 compared with May in 2011.

Government at a Glance Indicators

Purpose

To collect comparable data and indicators of good government and efficient public services, and to provide robust empirics with which to assess the impact of public management reforms and progress made in their implementation.

Objectives and outputs

The objective is to presents internationally comparable set of data in order to help decision makers and the public analyse and benchmark government performance. The database includes measures of both the market and non-market activities of government and for selected indicators of government-owned enterprises. Data are based on general government/public sector labor statistics; on detailed information from general government national accounts (investments, public corporations, supply and use tables) and informations collected by GOV surveys on governance as well data collected on government outputs and outcomes by CTP, EDU, ELSA. Government at a Glance indicators are regularly (every second year) published in "OECD Government at a Glance". The last edition (2011) included indicators on public finance and economics, public sector employment; HRM; compensation for key public sector occupations ; regulatory governace; tranparency in governance; service delivery and also output and outcome measures for selected policy sectors and functions.

Non-member countries involved in the activity:

Brazil, China, Egypt, India, Indonesia, Russian Federation, South Africa, Ukraine.

Databases

Government at a Glance Indicators

Main Developments for 2012

General aspects:

In 2012 the main priorities are to consolidate the existing database with the introduction of periodical updates of such database for selected indicators. Moreover, priority is to implement the development of new indicators for Government at a Glance 2013 focusing on service delivery, rule of law and better indicators for the the implementation and results of various public management and governance practices.

Data management:

Planning to introduce periodical updates of the dataset for selected indicators.

Benefits and Wages

Purpose

Monitor reforms of tax and benefits systems and their impact on work incentives and income adequacy. Results are used as the basis of the OECD's "Benefits and Wages" publication and as inputs into a wide range of studies produced within and outside the OECD. In addition, the group develops and maintains tax-benefit models. These computer models allow a wide range of tax and benefit indicators to be produced. Finally, the online "tax-benefit calculator" and tax-benefit models for 32 OECD and an additional 6 EU countries are available on the web-page www.oecd.org/els/social/workincentives and are updated annually.

Objectives and outputs

The Benefits and Wages series addresses the complicated interactions of tax and benefit systems for different family types and labour market situations. The series is a valuable tool used to compare the different benefits made available to those without work and those with different levels of in-work income. The resulting indicators (such as 'net replacement rates') are useful for addressing issues of both work incentives and adequacy of household incomes.

Recent updates include calculations of incomes and work incentives net of childcare costs. Country coverage was recently extended to include Estonia, Israel and Slovenia, and, as part of a grant agreement with the European Commission, the new EU Members States who are not currently members of the OECD: Bulgaria, Cyprus, Latvia, Lithuania, Malta and Romania. Preliminary models have been developed for Russia. Finally, ad-hoc (2009) models were developed jointly with the World Bank for a number of south-eastern European countries: Bosnia and Herzegovina, Former Yugoslav Republic of Macedonia (FYROM), Serbia.

An interface for interactive web access to tax-benefit models has been developed ("tax-benefit calculator") and is available on the web-page www.oecd.org/els/social/workincentives. Also available on this web page are country files and model output for 38 countries.

Non-member countries involved in the activity:

Bosnia and Herzegovina, Bulgaria, Cyprus, Latvia, Lithuania, Macedonia, Malta, Republic of Serbia, Romania, Russian Federation, Slovenia.

Databases

Benefits and Wages

Main Developments for 2012

General aspects:

On-line publication of 2010 tax-benefit models, country files and an expanded range of work incentive and income adequacy indicators for 38 countries. Ad hoc update of policy summary tables. Development of 2011 models for 39 countries (adding Chile). Commence up-date of synthetic earnings distribution data, by gender, to latest post-crisis year available.

Data collection:

Include Chile.


2.6 International trade and balance of payments (OECD)
Creditor Reporting System (CRS) Aid Activity Database

Purpose

Provide Members of the Development Assistance Committee (DAC) and the international aid community a set of readily available basic data that enables analysis on where aid goes, what purposes it serves and what policies it aims to implement. The DAC uses the data for consideration of specific policy issues and for monitoring donors' compliance with various international recommendations in the field of development co-operation. Outside the DAC, the data is mainly used to analyse the sectoral and geographical breakdown of aid for selected years and donors or groups of donors.

Objectives and outputs

Improve consistency, presentation and coverage to reflect current development co-operation priorities and classifications. Continue work on converging DAC and CRS datasets. Improve reporting and timeliness at an activity level.

Since 2008 (reporting on 2007 flows) the CRS includes the Trade capacity Building Database (TCBDB) operated previously by WTO.

Databases

Creditor Reporting System (CRS) Aid Activity Database

Main Developments for 2012

General aspects:

No major changes.

Data collection:

No major changes.


Database on Country Programmable Aid (CPA database)

Purpose

Provide members of the Development Assistance Committee (DAC) and the international aid community a set of readily of available statistics on country programmable aid (CPA) flows. This new measure of aid comes much closer to capturing the flows received and recorded in country aid management systems than measures of total aid (ODA - official development assistance). CPA is estimated on the basis of the standard DAC statistics (DAC and CRS) and defined through exclusion, by subtracting from total gross ODA aid that is: unpredictable by nature (humanitarian aid and debt relief); entails no cross-border flows (administrative costs, imputed student costs, promotion of development awareness, and research and refugees in donor countries); does not form part of co-operation agreements between governments (food aid and aid from local governments); or is not country programmable by the donor (core funding of NGOs). The database provides reference data to DAC and other stakeholders for the analysis of fragmentation and planned forward spending of aid.

Objectives and outputs

To provide timely and comprehensive statistics on country programmable aid (CPA) for all countries and territories on the DAC List of ODA Recipients. To provide reference data for the annual Report of the Survey of Indicative Forward Spending Plans and for the annual Report on Division of Labour and global fragmentation.

Main Developments for 2012

General aspects:

Further strengthening the methodology to derive CPA.

Official and Private Resource Flows from DAC Members to Developing Countries

Purpose

The Development Assistance Committee (DAC) database provides comprehensive data on the volume, origin and types of aid and other resource flows to over 150 aid recipients. The data shows each aid recipient's receipts of official development assistance (ODA), other official flows and private flows from members of the DAC, multilateral agencies and other non-DAC donors.

Objectives and outputs

To provide timely and comprehensive statistics of official and private flows to all countries and territories on the DAC list of ODA recipients. Improve consistency, presentation and coverage to reflect current development co-operation priorities and classifications.

Update reporting guidance to maintain comparable statistics and improve reporting and comparability of statistics on the tying status of aid.

Support work on changing patterns of development finance and the increasing role of private flows.

Databases

Database on official and private resource flows from DAC Members to developing countries.

Main Developments for 2012

General aspects:

Continue with converging DAC data collections (CRS and DAC); propose converged directives for approval; further work on improving access to data, possible sharing of data with developing countries, and continuing help from Secretariat to members in improving statistical quality and timeliness.

Continue work on non-ODA flows which examines types of development financing other than ODA (non-concessional official loans inc. export credits, private flows inc. remittances, guarantee schemes). This analysis will focus on both the volume and developmental relevance of these flows.

DAC interest: DAC members afforded a high priority to this work during discussions of the PWB for 2011-2012, consequently (and based on the progress of work).

Data collection:

Improve types of aid reporting and convergence of DAC data collections (CRS+DAC).

Balance of Payments

Purpose

To collect and publish timely, accurate and internationally comparable Balance of Payments statistics to meet OECD user needs and in support of identified data needs.

Objectives and outputs

To provide timely summary quarterly statistics on Balance of Payments. To improve the efficiency of data collection, timeliness, international comparability and quality of the published balance of payments data on the MEI database. To contribute as appropriate to the OECD Quarterly Trade Press Release. To contribute to methodological work on Balance of Payments. To improve information on remittance flows to meet user needs. Integrate Enhanced Engagement countries.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

Balance of Payments
MEI_BOP

Main Developments for 2012

General aspects:

The SDMX coding for BOP in BPM6 including the extended Balance of Payments in Services classification will be elaborated in coordination with OECD/DAF and other International Organisations.

Data collection:

Improve the efficiency and timeliness of data collection. Find new data for non member countries.

International Coordination of trade in Services Statistics

Purpose

Given the wide variety of activities carried out by national and international organisations related to trade in service statistics, to improve coordination of international development work on trade in services statistics and facilitate a strategic view of priority needs. To provide an overview of these activities and facilitate communication between international expert groups involved. To identify overlaps, links and gaps in international work on methodological issues and data collection.

Objectives and outputs

In cooperation with UNSD, provide a report to the UN Statistics Commission (UNSC) on coordination of trade in services statistics, with proposals on strategy, as requested by UNSC.

Facilitate coordination on service statistics by providing central information point on services statistics developments, gathering information from active groups, and create and maintain web pages on international developments in services statistics.

Non-member countries involved in the activity:

Brazil

Main Developments for 2012

General aspects:

Continue to chair and coordinate the work of the Task Force on Statistics on International Trade in Services (TFSITS).Cooperate on the work related to the Trade in services compiler's guide.

International Trade in Goods

Purpose

To produce consistent and timely international trade data for OECD member countries and ensure methodological soundness and comparability of international trade data. To conduct research to improve the quality of the concepts underlying international trade data and play an active role in the development of international standards.

Objectives and outputs

Collects and maintains two databases for analytical use: (a) monthly data of exports and imports at current prices by partner countries and main categories of commodities, and volume and average value indices for selected countries and main categories; and (b) detailed annual data of exports and imports by commodities and by partner countries using three classifications (SITC, HS, ISIC).

Full implementation of the OECD-UNSD data sharing agreement covering all OECD member countries. A successful completion of the first phase (data collection and transmission to UNSD) of this initiative has already resulted in a reduction of the response burden for member countries and has led in 2006 to identical trade figures published by both the UN and the OECD (processed data). The OECD meeting of experts in international trade will continue to stimulate the exchange of views and research on methodological issues.

OECD continues to participate in and contribute to the Inter-Agency Merchandise Trade Task Force and manages, and moderates together with WTO, the EDG "Tradenet" on methodological and co-ordination issues affecting various national and international organisations.

Non-member countries involved in the activity:

Brazil, China, Chinese Taipei, Russian Federation, Slovenia.

Databases

International trade by Commodity Statistics
Monthly Statistics of International Trade

Main Developments for 2012

General aspects:

In 2012, data quality and timeliness of processed data should be further improved as it is planned to implement "data capture" checks in order to facilitate the upload of data into ITCS.

ITCS in OECD.Stat has continued stabilizing in 2011. For users efficiency results have been gained thanks to the better awareness of the possibility of a direct link to the trade data in the format of SQL tables. Also the architecture of ITCS with a direct link to OECD.stat has proven to function well with better performances and better timeliness.

In the context of the 2011-2012 bienium project of implementation of Unit value Indexes to the annual trade database, research will be continued on an outlier detection method that can fit with the data provided with the different members of the OECD

Data collection:

Concurrent use of the ITCS OECD-UNSD common data collection and processing system and the OECD trade ITCS in OECD.Stat. Full addition of ISIC classification.

International Trade in Services

Purpose

To provide detailed, relevant and internationally comparable data for trade policy and economic analysis. The information needs of international trade negotiations including the General Agreement on Trade in Services and the observed increase in internationalisation of services production are driving new developments.

Objectives and outputs

An annual joint effort publication with Eurostat and database: "OECD Statistics on International Trade in Services - Detailed tables by category of service". This covers the 34 member countries. Data are based on the concepts of the IMF's 5th Balance of Payments Manual (except for Australia that already moved to BPM6) and are broken down according to the detailed EBOPS Classification of Trade in Services with the exception of Australia which has started compiling information according to BPM6. The publication "OECD Statistics on International Trade in Services - Detailed Tables by Partner Country" provides bilateral service trade flows for 33 member countries, Hong Kong SAR and Russian Federation.

Coordinate the work of the Interagency Task Force on Statistics of International Trade in Services. Contribute to the Trade in services compilation Guide. Contribute to organisation of the WP on trade in goods and trade in services statistics.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

International trade in services by category of service (TIS)
OECD Statistics on International Trade in Services by Service Category and by Partner Country

Main Developments for 2012

General aspects:

The SDMX coding for BOP in BPM6 including the extended Balance of Payments in Services classification will be elaborated in coordination with OECD/DAF and other International Organisations.

Facilitate to the extent possible links between the classifications EBOPS and ISIC.

Continue Implementing EBOPS 2010 in Statworks and upload countries that have adopted the new standards.

Improve the timeliness, with rolling updates, and detail of published data. Monitor progress in the implementation of MSITS recommendations.

Contribute to OECD analytical work and in particular work closely with TAD and STI on data needs for the Services Trade Restrictiveness Index. Improve estimates of world trade flows of services.

Cooperate with Eurostat to collect and make available as far as possible partner country data on remittances.

Develop cooperation with UNSD and other agencies on data sharing in trade in services.

Initiate merge of the Trade in Services by category and by partner country in order to save resources to be allocated to the development of databases and metadata related to the new standards.

Cooperate with WTO to elaborate the annual World Matrix of bilateral services flows.

Data collection:

Pursue rolling update of trade in services by partner country data as data become available. Countries that are sent an excel questionnaire will be asked to fill it in. A second best would now be for them to provide us with their data in an SDMX format.

Joint OECD/UNSD Annual Trade System

Purpose

Maintain International Trade Database to manage Annual and Monthly statistics in collaboration with the United Nations Statistics Division.

Objectives and outputs

Technical maintenance and small enhancements to the system.

Main Developments for 2012

General aspects:

Technical maintenance and small enhancements.

Monthly International Trade

Purpose

To produce consistent and timely international trade data for OECD member countries, ensure methodological soundness and comparability of international trade data, conduct research to improve the quality of the concepts underlying international trade data and play an active role in the development of international standards.

Objectives and outputs

Collect data and maintain database for analytical use: monthly data of exports and imports at current prices by partner countries and main categories of commodities, and volume and average value indices for selected countries and main categories. Continuous and close co-operation with key users at OECD. Updating cycles optimised to respond to needs of Economic Outlook. Online availability of OECD's detailed international trade data. OECD continues to actively participate and contribute to the International Trade Task Force (Inter-Agency TF).

Non-member countries involved in the activity:

Slovenia

Databases

Monthly Statistics of International Trade (MSIT)

Main Developments for 2012

General aspects:

No major changes.

Services Trade Restrictiveness Index

Purpose

The STRI database will be a unique resource providing internationally comparable current information on regulatory policies affecting trade in services.

Objectives and outputs

The main achievements for 2011 are:

• Complete refinement of the entire regulatory database;
• Verification of 95% of the OECD member countries and complete verification of 50% of them;
• Extension to 6 new sectors;
• Countries and experts are now convinced of the utility of such a tool.

Non-member countries involved in the activity:

India, Slovenia.

Main Developments for 2012

General aspects:

The regulatory database for the pilot sectors should be finalised during the first half of 2012. A first version of the interface developed by the OECD for dissemination of qualitative information should The coverage of the new sectors has already started for 30% of the countries.

STAN Bilateral Trade Database by Industry and End-use (BTDIxE)

Purpose

The STAN Bilateral Trade Database by industry and end-use (BTDIxE) is a new tool for analysing global production networks. This database presents international trade in goods broken down both by industrial sectors and by end-use categories for the period 1995-2010, allowing, for example, insights into the patterns of trade in intermediate goods between countries to track global production networks and supply chains, and helping to address policy issues such as trade in value added and trade in tasks. In particular, it is designed for linking OECD Input-Output tables to allow development and user of inter-country I-O models.

BTDIxE is an extension of the "traditional" BTD - maintained since the mid-1990s and covering total trade by industry only. The BTDIxE industry list provides sufficient detail to enable users to highlight high-technology sectors and is compatible with those used in related OECD databases. The end-use category list includes the three broad SNA categories: capital goods, intermediate goods and household consumption.

Objectives and outputs

A first version of BTDIxE was released at the end of 2011 together with documentation in the form of STI Working Paper (DSTI/DOC(2011)6. Figures provided for all OECD countries and 30 non-OECD countries. Data to 2010 for 56 out of 64 countries.

To build the data set, 8 conversion keys were developed - from each version of HS (1988, 1996, 2002 and 2007) to both ISIC Rev.3 and End-uses (via BEC).

Non-member countries involved in the activity:

Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Croatia, Cyprus, Hong Kong, India, Indonesia, Latvia, Lithuania, Macedonia, Malaysia, Malta, Moldova, Other, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand.

Databases

STAN Bilateral Trade Database by Industry and End-use (BTDIxE)

Main Developments for 2012

General aspects:

• Complete update to 2010 for all countries;
• Include trade flows adjusted for Hong Kong re-exports;
• Undertake further country specific adjustments as required;
• Add countries / country groups according to demand;
• Embark on development of new trade indicators based on BTDIxE;
• Draft paper based on analytical use of BTDIxE;
• Develop and implement a concordance key for converting HS product data to ISIC Rev. 4.

Trade by enterprise characteristics

Purpose

To measure, on the one hand, the contribution of real economic sectors to international trade, and on the other hand, to complement business data with detailed information on trade, which is traditionally not part of business statistics.

Objectives and outputs

Under guidance of the Business Economic Statistics and Trade (BEST) Steering Group, a first OECD Linkage Table, which is based on Eurostat's Standardisation Document Rev. 2, was sent out to participating Non-EU-OECD member countries. Up to now, OECD has received data collection tables from Canada, Israel, Norway and the United States. In addition, Eurostat provided OECD with the respective (published) data tables of several EU member states for reference years 2005-7. After reclassification of the Eurostat data to OECD standards (ISIC and CPC classifications, USD currency and OECD geo-nomenclature), these were integrated to the Trade by enterprise characteristics (TEC) database of the OECD, available in the globalisation cube of OECD.Stat.

Databases

Trade by Enterprise Characteristics

Main Developments for 2012

General aspects:

In 2012, the data collection will include more recent reference years and more countries, by inviting a wider group of OECD member countries. A close cooperation with Eurostat will be maintained.

The Handbook on Trade Microdata is expected to be completed in 2012 and submited to the BEST Steering Group.


2.7 Prices (OECD)
Price Indicators

Purpose

To provide a set of relevant, reliable, timely, monthly and quarterly price indices (CPI and Producer Price Indices) for internal and external users. To provide methodological information on these price indices.

Objectives and outputs

• The 'Price Indices' dataset in the Main Economic Indicators (MEI) database contains statistics on Consumer prices, Producer prices and Construction costs for 34 OECD member, Russian Federation and 5 B(R)IICS countries. The data series presented within these subjects have been chosen as the most relevant prices statistics in the MEI database for which comparable data across countries is available. In all cases much effort has gone into ensuring international comparability and into the availability of historical time-series for analysis.
• Revision of the Methodological guide for developing producer price indices for services.

Databases

MEI
MEI_PRICE

Main Developments for 2012

General aspects:

• Finalisation of the Methodological guide for developing producer price indices for services with a view to finalising work in 2012.
• Continue to improve the dissemination of price indices.

Data management:

Harmonisation of metadata across countries and introduction of new inflation measures.

Purchasing Power Parities

Purpose

Produce reliable and timely Purchasing Power Parities (PPPs) data for OECD member countries. PPPs are an important tool to compare levels of real income or real output across countries with indicators such as GDP per capita and relative price levels between countries.

Objectives and outputs

• Organisation of the data collection for the 2011 round which started in 2009 and covers 47 countries (30 OECD countries and 17 non-member countries).
• Work closely with Eurostat to further harmonise the methodology employed. Participate in the ad-hoc task forces set up by Eurostat to discuss various issues associated with PPPs 9Revision of the (PPP manual).
• Provide technical input into the 2011 round of the ICP currently being organised by the World Bank.
• Work closely with ELS on devleoping a new methodology for health specific PPPs (publication of a WP on hospital price levels).

Databases

ANA
Purchasing Power Parities

Main Developments for 2012

General aspects:

Finalise the methodology to calculate specific PPPs for health for all countries participating in the Eurostat-OECD PP manual.

Provide technical input into the 2011 round of the ICP currently being organised by the World Bank.

Publication of the revised OECD Eurostat-OECD PPP manual.

Calculation of the preliminary results of the 2011 Round.


2.9 Science and technology (OECD)
Analytical Business Enterprise Research and Development

Purpose

To provide a consistent and comparable data set across countries and over time on industrial R&D expenditures broken down by industry.

Objectives and outputs

The ANBERD (Analytical Business Enterprise Research and Development) database is continually revised to enhance the international comparability of time series on business enterprise R&D expenditure (BERD) by industry.

Non-member countries involved in the activity:

China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Analytical Business Enterprise Research and Development (ANBERD)

Main Developments for 2012

General aspects:

In 2011 the country coverage was expanded and improved data processing and checking routines were implemented. In 2012, the estimation techniques for missing data will continue to be improved and preparations will be made for the forthcoming move to ISIC Rev.4.

Data management:

Adapt the data production system to move from ISIC Rev3. to Rev4.

Biotechnology

Purpose

To establish international standards for the collection of biotechnology data across OECD member countries.

Objectives and outputs

Under the auspices of the National Experts of Science and Technology Indicators (NESTI) group, six Ad hoc Biotechnology Statistics meetings have been held to date. These meetings have achieved: an internationally agreed upon definition of biotechnology, a model survey for the collection of biotechnology data in member countries, and an inventory of biotechnology data collected in member and selected non-member countries.

OECD Biotechnology Statistics was released in 2009.

Key Biotechnology Statistics is updated annually and published online.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa, Thailand.

Main Developments for 2012

General aspects:

Additional countries.

Careers of Doctorate Holders

Purpose

Collect data on the labour market outcome and mobility of doctorate holders.

Objectives and outputs

Collect data and update internal database, use data for analysis at the macro level, launch work using micro-data with interested countries, evaluate data collection and revise methodology accordingly.

Non-member countries involved in the activity:

Bulgaria, Chinese Taipei, Croatia, Latvia, Lithuania, Malta, Romania, Russian Federation.

Databases

Indicators on Careers of Doctorate Holders

Main Developments for 2012

Data management:

New dataset.

Main Science and Technology Indicators

Purpose

To publish biannually the most commonly used indicators on science and technology on an internationally comparable basis. The database and publication are regularly updated with 76 (paper publication) to 140 (electronic publication) data series presenting resources devoted to R&D and measures of output and the impact of S&T activities.

Objectives and outputs

This biannual publication provides a set of indicators that reflect the level and structure of the efforts undertaken by OECD member countries and 7 non-member economies in the field of science and technology. These data include final and provisional results as well as forecasts established by government authorities. The indicators cover the resources devoted to research and development, patent families, technology balance of payments and international trade in highly R&D intensive industries. Also presented are the underlying economic series used to calculate these indicators. Series are presented for a reference year and the last six years for which data are available (paper publication) and beginning 1981 (electronic editions).

Non-member countries involved in the activity:

Argentina, China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Main Science and Technology Indicators

Main Developments for 2012

Data management:

MSTI database production system: migration from StatWorks to SAS software (2010-Q4).

Patent Statistics

Purpose

To develop an international statistical infrastructure for patents (including databases and methodologies), which will provide the conditions for improving the quality and international comparability of patent indicators. Development of policy-relevant indicators from this work. Serves as a basis for policy relevant studies carried out within and outside OECD.

Objectives and outputs

The main objective is to develop patent databases suitable for calculating indicators for statistical and S&T/Entrepreneurship policy purposes, covering patent filings to national and regional patent offices across the world.

Currently, the following patent statistics are collected and processed on a regular basis: indicators based on EPO (European Patent Office) patent; indicators based on USPTO (US Patent and Trademark Office) patents; indicators based on patent applications filed under the PCT (Patent Co-operation Treaty) and "triadic" patent families indicators. EPO and PCT data are also broken at the lowest regional level (NUTS3/TL3) for all OECD countries and selected economies.

Patent statistics are published in various publications: Main Science and Technology Indicators; OECD Science, Technology and Industry Scoreboard; OECD Science, Technology and Industry Outlook and in the Statistical compendium of the Innovation Strategy

"Measuring innovation: a new perspective".

The focus of the methodological work is to provide guidelines for compiling patent statistics and indicators, and to provide users with methodological information in a transparent manner. The following issues have been investigated: criteria for counting patent data; triadic patent families' definition; patent data for specific technology area; patent data by industry, patents by region and patent citations. The OECD Patent Statistics Manual 2009 provides further guidelines for analysing and building patent statistics in the framework of S&T indicators.

A matching exercise is currently being performed at the micro-data level, linking the patent data to the firm level databases (e.g. ORBIS database of Bureau van Dijk) using the patent applicant name. A database on harmonised patent applicant's names (HAN) is available to researchers. It is currently being improved and expanded, and is used to build new indicators at the firm level.

Similar work is also conducted for other intellectual property assets such as Trademarks.

Regular conferences on IP-related statistics are jointly organised by OECD, EPO, USPTO, JPO, WIPO and Eurostat.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Europe, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.

Main Developments for 2012

General aspects:

Updating the existing patent database; extending the data coverage (i.e. to include information from more national patent offices); expand the exercise of harmonising patent applicant's names and matching with firm-level databases, development of further patent indicators (reflecting globalisation, specific technologies); development of citations indicators, development of further analytical applications of patent data, patents by industry.

Increased use by other directorates (e.g. ECO, ENV, GOV, STD) expected in 2012.

Further work to develop Trademark data are also expected.

Another matching exercise is experimented to link patent data (with the citations of non-patent literature) to scientific publication data (using Elsevier's SCOPUS database).

Research and Development (R&D) Statistics

Purpose

To provide internal and external users with statistics on R&D expenditures and personnel and to ensure, through appropriate methodological work, the international comparability of corresponding national statistics.

Objectives and outputs

Management and/or development of internationally comparable statistics on resources devoted to R&D in member countries and in seven non-member economies based on the OECD international methodology for R&D survey, the "Frascati Manual". Diffusion of S&T statistics and corresponding metadata via the annual "R&D Statistics" and the biannual "Main S&T Indicators" publications and the on-line "R&D Sources and Methods database". The country coverage of OECD S&T databases and publications is being expanded to include comparable S&T indicators and statistics for non-member economies such as Argentina, China, Romania, Russia, Singapore, South Africa and Chinese Taipei.

Non-member countries involved in the activity:

Argentina, China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Research and Development Statistics (RDS)

Main Developments for 2012

General aspects:

Plan to publish ISIC Rev. 4, depending on the availability of data at the national level.

Sources and Methods for Research and Development (R&D) Statistics

Purpose

To meet demand for country-specific and item-specific methodology, this database relates principally to R&D as reported by the units performing the R&D in line with the standard methodology for R&D statistics recommended by OECD in the Proposed Standard Practice for Surveys of Research and Experimental Development - Frascati Manual (OECD).

Objectives and outputs

The database provides detail on methods used in the member countries and seven non-member economies when compiling the R&D data reported to OECD in the framework of the International Survey of the Resources devoted to R&D by OECD countries, underlining both current and historical national specificities of the data stored in the OECD STI/EAS R&D database. The sources and methods are regularly updated as part of the International Survey of the Resources devoted to R&D by OECD countries. The Secretariat has made this database available on line either through the NESTI-NET: http://webdomino1.oecd.org/COMNET/STI/NESTI-NET.nsf/Welcome?openframeset, or via http://webnet.oecd.org/rd_gbaord_metadata/default.aspx where delegates and the public are able to consult.

Selected metadata are regularly published in "Research and Development Statistics" (annual electronic publication) as well as in "Main Science and Technology Indicators" (paper and electronic publication appearing twice yearly). This information was also used as input to the revision of the "Frascati Manual", the international standard methodology for the measurement of resources devoted to R&D.

Non-member countries involved in the activity:

Argentina, China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

R&D_SM database



3. Environment and multi-domain statistics (OECD)
2.1 Macroeconomic statistics (OECD)
STAN Database for Industrial Analysis

Purpose

To provide a comprehensive database tool for cross-country analyses of industrial performance (competitiveness, productivity etc.) and structural change at a relatively detailed level of activity.

Objectives and outputs

The STAN database for industrial analysis provides analysts and researchers with a comprehensive tool for analysing industrial performance at a relatively detailed level of activity across countries. It includes annual measures of output, labour input, investment and international trade which allow users to construct a wide range of indicators to focus on areas such as productivity growth, competitiveness and general structural change. The industry list provides sufficient detail to enable users to highlight high-technology sectors and is compatible with those used in related OECD databases.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

STAN Database for industrial Analysis

Main Developments for 2012

General aspects:

Development and production of a new version of STAN based on ISIC Rev. 4. with statistics to 2010. Inclusion of non-Member countries, where possible. Closer cooperation with EU KLEMS project in particular and World KLEMS project in general. Comprehensive STAN documentation in form of STI Working Paper.

Business Tendency and Consumer Opinion Surveys

Purpose

To collect and disseminate business tendency and consumer opinion survey data for OECD member countries and selected non-member economies. To promote wider use of business tendency and consumer opinion surveys in OECD member countries and selected non-member economies.

To develop international statistical standards and to encourage scientific research in this field of statistics.

Objectives and outputs

This activity involves the ongoing collection and publication of an extensive range of business tendency and consumer opinion survey data and related metadata from OECD member countries and the BRIICS.

The survey data are published in the OECD's monthly Main Economic Indicators (MEI). Data collection is co-ordinated with the European Commission, with the OECD taking primary responsibility for data collection from national sources only for non-EU OECD member countries and the BRIICS.

During the year 2010 the OECD evaluated the possibility to renew its existing international guidelines and recommendations. In co-operation with UNSD, the European Commission and CIRET it surveyed current availability of tendency sureveys internationally and the level of harmonization and adherence to existing guidelines. For 2011 the OECD will start the review of its Business Tendency Surveys handbook last revised in 2003.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

MEI_BTS_COS

Main Developments for 2012

General aspects:

A review of the code structure in the production database, and a consequent update of production flows.

Composite Leading Indicators

Purpose

To compile and disseminate the OECD composite leading indicators for OECD member countries and for the BRICS NMEs + Indonesia, which help analysts to assess the cyclical phase of the OECD economies and forecast its future development.

To do methodological development work and carry out scientific research in this field.

Objectives and outputs

OECD Composite Leading Indicators (CLI) are published in the monthly Main Economic Indicators publication and in a monthly press release.

The quality of existing CLIs is monitored and enhanced on an on-going basis, including the expansion of country coverage for both OECD member and non-member countries, and the development of new tools in the research software for cyclical analysis and composite indicators.

Main achievements in 2010 were the finalization of a distributable package of the production system (CACISd), setting up the dissemnination website in Clearspace, with the goal of reinforcing transparency.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

MEI_CLI

Main Developments for 2012

General aspects:

Update CLIs for selected OECD member countries.

A pilot project testing the multivariate direct filter approach for CLI caluclation in co-operation with prof. Marc Wildi.

Changing the reference series at the core of the CLI from IIP to GDP.

Data collection:

Inclusion of additional series required for the compilation of CLIs for Brazil, China, India, Russian Federation and South Africa and for OECD member as a result of on-going review of CLI component series for each country.

Data management:

Incorporation of more detailed metadata on CLI compilation methodology in MetaStore.

Main Economic Indicators

Purpose

The OECD's Main Economic Indicator (MEI) database provides a wide range of short-term economic indicators (and associated methodological information) for OECD member and non-countries to meet the on-going requirements of a number of internal OECD users.

Objectives and outputs

Maintaining the Main Economic Indicators (MEI) database, which contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member and for all Enhanced Engagement economies on a wide variety of economic indicators for use by economic analysts, policy makers and business.

Indicators in the MEI database include: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.

There is an on-going process of review to revise the contents of the database in order to maximise the relevance of the database for short-term economic analysis, for example, through the inclusion of new indicators reflecting new areas of analysis and policy making. Enlarging coverage also entails working with other international organisations such as IMF, ILO, ECB and Eurostat in the development of effective international standards for the presentation of statistical methodological information (metadata), and increasing the coverage and quality of statistical metadata, whilst at the same time minimising the reporting burden of member countries.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

Main Economic Indicators (MEI)

Main Developments for 2012

General aspects:

The ongoing implementation of a MEI Review undertaken in 2010 at the request of the Director.

Data collection:

On-going processes to improve the efficiency and timeliness of data capture processes.

There will also be expanded use of data from Eurostats NewCronos database and the IMF's IFS. Greater efforts will also be made to implement data and metadata exchange standards developed under the SDMX initiative.

Real-time and Revisions Database

Purpose

To make freely available on the OECD website a "real-time" database with associated revisions analysis of key short-term economic statistics derived from historically published monthly snapshots of the OECD Main Economic Indicators database.

Objectives and outputs

The concept of a real time database is to provide an information set of short-term economic statistics that would have been available to analysts at a specific point in time for the purpose of testing the likely effectiveness of econometric models in real-time. It also provides the opportunity to perform revisions analysis - i.e. to study the magnitude and direction of subsequent revisions to published statistics. A database containing MEI vintage from 1999 was developed and published on the OECD website in 2006.

The portal also provides a broader context on the issue of revisions. This primarily take the form of the revisions framework (outlining the reasons for data revision) formulated by the IMF and of the recommendations published in the OECD "Data and Metadata Reporting and Presentation Handbook".

Updated revisions analysis of GDP and a comparision of revisions between seasonally adjusted and raw series were performed in 2007 and presented at the STESWP and National Accounts working parties, and also at a number of international conferences where the database was also promoted.

Main Developments for 2012

General aspects:

No major changes.

Short-Term Financial and Real Indicators

Purpose

To capture in quantitative terms an important but heterogeneous and fast evolving area in globalisation of the financial markets and increased sophistication of the actors and activities in these markets.

To provide short-term economic indicators of production, sales, orders, work started and in progress and stocks for OECD member countries and selected large emerging non-member economies.

Objectives and outputs

The Financial Indicators dataset contains financial statistics on six separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, Reserve Assets, International Trade, and Share Prices. In all cases considerable effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series' data to aid with analysis.

All the subjects under Real Indicators are classified under the following six top headings: Production, Sales, Orders, Work started, Work in progress, Stocks. Within each heading, indicators are further classified according to economic activities.

Non-member countries involved in the activity:

Brazil, China, Indonesia, Russian Federation, South Africa.

Databases

MEI_FIN


2.2 Economic accounts (OECD)
Institutional Investors' assets

Purpose

This data collection integrated in the framework of the SNA covers detailed assets (including a breakdown of resident/non resident data) for a number of institutional investors (more detailed than in the SNA93). Its aim is to have more detailed information on the activities of the institutional investors (not covered by the SNA) in OECD Member countries.

An additional questionnaire is sent yearly to OECD countries in parallel with the OECD/Eurostat joint questionnaire on Financial Accounts.

Objectives and outputs

The database has been updated up to 2010, for all OECD countries and Russia.

Improvements in the coverage of the database have been achieved.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Institutional Investors' assets

Main Developments for 2012

General aspects:

Update and continuous improvement of the coverage, including an extension to non-member countries (EE5 and other G20).

Depending on resources allocated to the unit, quarterly data will be processed when available and used to calculate indicators.

Data collection:

Improvement of the coverage of the database.
Depending on available resources, quarterly data will be processed.

Data management:

The methodological information currently available in WORD documents might be stored in Metastore using links to these documents, when resources permit.

Human Capital Accounts

Purpose

To develop an agreed methodology for producing monetary estimates of Human Capital for the purposes of international and inter-temporal comparisons.

Objectives and outputs

A working paper that summarises the outcomes of the first phase of the project was released in October 2011 (OECD STATISTICS WORKING PAPER SERIES No. 41).

Non-member countries involved in the activity:

Romania, Russian Federation.

Main Developments for 2012

General aspects:

1. Preparing an in-depth review of country practices in human capital measurement. This review is undertaken under the auspices of the UNECE Conference of European Statisticians (CES) and is being chaired by Geoff Bascand, Statistics New Zealand; as part of this review, we plan to circulate a 'country questionnaire' to document country practices and initiatives.

2. Documenting the OECD methodology and data sources in a technical report.

3. Drafting a working paper based on joint work with the World Bank on national wealth accounting by using direct estimates of human cpaital generated from the OECD project.

4. If available, extending the methodology to additional countries and years.

Annual Financial Accounts

Purpose

To provide unique data sets of harmonised data on annual financial accounts and annual financial balance sheets of OECD countries, according to SNA 1993, to analysts and policy makers.

Objectives and outputs

This activity mainly focuses on the collection of comparable quantitative and qualitative information on annual financial transactions carried out and on annual financial stocks held by institutional sectors of the economy in the OECD member countries.

The main objectives are to improve the quantity and the quality of information on OECD financial accounts (transmission of timely, reliable and consistent data) and to disseminate comparable tables on financial accounts (transactions) and financial balance sheets (stocks).

Russia and EE5 countries' data will be included in the databases when available.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Annual Financial Accounts (ANA)

Main Developments for 2012

General aspects:

The database on annual Financial Accounts and Financial Balance Sheets will continue to be improved. All OECD countries are now covered. For some countries however, the sectoral coverage has still to be extended while for some countries, additional datasets (flows or stocks, consolidated or non-consolidated) will continue to be required.

Data for Russia, for the EE5 countries, and for additional G20 countries (Argentina and Saudi Arabia) will be included when available.

Detailed methodological information relating to Financial accounts and Financial balance sheets should be updated and included in Metastore.

Data collection:

Historical data will be added to the database as soon as countries send them. Data which are still missing for some Member countries will continue to be requested and included in the databases.

Data for Russia will be integrated (if provided) in the OECD databases; depending on resources, data for some non-Member countries (EE5 and G20) will be asked and processed according to their availablity.

Moreover, following conclusions of the 2009 and 2010 WPFS meetings, financial indicators based on financial accounts and balance sheets, and on the two other SNA-related database (on Households and Institutional investors) will be calculted and disseminated.

Data management:

Financial indicators based on these datasets are calculated and are the object of another activity: OECD Financial Indicators.

A new database system now hosts quarterly data: see the new activity Quarterly Sector Accounts (Financial part).

Annual National Accounts

Purpose

To provide, on an internationally comparable basis, a timely update of annual national accounts data to internal and external users for analytical purposes.

To provide a forum of international exchange on national accounts standards, in order to improve the relevance of SNA 93 and enhance international comparability.

Objectives and outputs

The annual national accounts database (SNA) presents a consistent set of data mainly compiled on the basis of the 1993 System of National Accounts. It contains data from 1970 whenever possible for OECD member countries.

Main series of the SNA database are presented using an "indicator" approcah in the publication National accounts at a Glance, focusing on cross-country comparisons. In this publication each indicator is associated to a text which explains in general terms of what is measured and why.

Non-member countries involved in the activity:

China, India, Indonesia, Russian Federation, South Africa.

Databases

Annual National Accounts (ANA)

Main Developments for 2012

General aspects:

Extend the collection of data from EE countries to Brazil.

Economics Department Analytical Data Base (ADB)

Purpose

Management, co-ordination and provision of statistical data sets in support of Economics Department work described under Theme 1 (Economic Growth, Stability and Structural Adjustment). Primarily as input to the Economic Outlook assessment process, ensure timely and consistent updating of the body of largely macroeconomic statistics and calculation of subsidiary concepts necessary for corresponding analytical activities. Checking methodological soundness and consistency of data definitions against the analytical needs of the Department and in particular Country Desks. Development and maintenance of related programmes, definitions and procedures and associated metadata systems in support of analytical users.

Objectives and outputs

Maintains relevant Analytical Data Bank in support of relevant needs of ECO's macro analytical work, notably with respect to the data needs of the OECD Economic Outlook. In conjunction with STD and other statistical groups, co-ordinates, manages and extracts the relevant annual and quarterly data sets from available sources within the OECD (mostly STD), National Administrations and related publications. The primary database covers a range of statistical concepts relevant, in particular, to the assessment of the world's economic situation and developments in member country economies. These include a wide range of national accounts, wage, price and labour force, fiscal and financial accounts, exchange rates, international trade and balance of payments concepts reported on a variety of frequencies. Basic definitions and requirements are those of the economists in the Policy and Country Studies branches. The relevant statistics are used routinely in the analysis incorporated in documents for the Economic Policy and Economic Development Review Committees and are reported as supporting material in the corresponding OECD publications - the twice yearly OECD Economic Outlook and the OECD Country Survey series. The Economic Outlook data set is also disseminated as an OECD data product.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Economics Department Analytical Database

Main Developments for 2012

General aspects:

Main changes in content relate to the progressive inclusion of relevant statistics for the Accession and Enhanced Engagement countries over the coming year. New indicarors to help monitoring analysis will be introduced. Main technical changes in the past and coming year relate to the continuing migration to the ADB to ECO's time series data management system, incorporating direct links to in-house source data bases and the MetaStore system, the integration of Economic Outlook publications data base within the OECD.Stat system and the incorporation of relevant production metadata within MetaStore for internal and external use.

Data management:

Development of metadata link based HELP system within data management system, revisions to control and access rights for users outside of ECO.

General Government National Accounts

Purpose

To provide, on an internationally comparable basis, a timely update of annual national accounts data for the sector of general government and sub-sectors to internal and external users. This covers detailed revenues and detailed expenditures by function of general government and subsectors.

Objectives and outputs

The project on general government national accounts began in September 2003. There are three objectives of the project: (1) improve the transmission to and dissemination by the OECD of timely and detailed data on general government; (2) enhance the comparability of the major aggregate results for general government such as general government deficit/surplus and/or general government debt.

Data are made available to member country government agencies on OLISnet thanks to OECD.Stat and to the public through dissemination in OECD.Stat and tables freely available on Internet.

Non-member countries involved in the activity:

Russian Federation, Slovenia.

Databases

ANA - SNA
Annual National Accounts (ANA)

Main Developments for 2012

General aspects:

Extention the collection of data for EE countries, in particular for Brazil, India.

Household Assets and Liabilities

Purpose

This data collection aims at better knowing the households' behavior vis-à-vis risks and enables studies on the distribution of households' wealth. It refers to the SNA sector S14 - Households.

An additional questionnaire is sent yearly to OECD countries in parallel with the OECD/Eurostat joint questionnaire on Financial Accounts.

Objectives and outputs

The database has been updated up to 2010 for all OECD countries.

A better coverage of financial and non-financial assets and on detailed liabilities currently transmitted by OECD countries has been achieved.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Household Assets and Liabilities

Main Developments for 2012

General aspects:

It is expected to further improve the coverage (assets and liabilities) of the database and to extend the geographical coverage to non-member countries (Russia, EE5 and G20).

When resources permit, quarterly data will be processed and used to calculate financial indicators.

Data collection:

Improvement of the coverage of the database.
Depending on resources allocated to the unit, quarterly data will be processed.

Data management:

The methodological information currently available in WORD documents might be stored in Metastore using links to these documents, when resources permit.

National Accounts for Non-member Economies

Purpose

To cooperate with non-member countries not included in the Quarterly National Accounts database and incorporate these countries into the standard OECD MEI data collection and dissemination program.

Objectives and outputs

Provide users with non-member national accounts data.

Non-member countries involved in the activity:

China, India.

Databases

National accounts and prices for non-member countries

Main Developments for 2012

General aspects:

To remove these countries once they are incorporated into the QNA database. Only Two countries remain: China and India. This activity will finish in 2012.

OECD Financial Dashboard

Purpose

The recent financial and economic crises have underlined the importance of monitoring financial activity and position of the various institutional sectors of national economies.

The OECD Financial Dashboard has been created to respond to users' questions and needs for relevant indicators based on timely, frequent and comparable financial statistics.

Objectives and outputs

The financial indicators are constructed from financial accounts and from financial balance sheets to analyse the behaviour and performance of the various institutional sectors and to carry out cross-country comparisons.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

OECD Financial Dashboard

Main Developments for 2012

General aspects:

New activity.

Data collection:

New activity.

Data management:

New activity.

Productivity/Capital Services

Purpose

Four OECD Directorates have co-operated to produce a data set for productivity measures, a widely-used indicator of economic performance. The purpose of this activity is to bring together, in one place, the results of this work and make available various productivity measures as well as relevant methodological information such as the OECD Manual on Measuring Capital. The series on capital services, multi-factor productivity (MFP) and GDP per hour worked are a standard input into the Economic Department's estimate of potential output. In 2011, the OECD Productivity database by industry has been released and provides regularly updated productivity estimates by industry.

Objectives and outputs

Labour productivity indices for 30 countries and a set of capital services and multi-factor productivity measures for 20 countries are regularly updated and are available on OECD.Stat. Recent methodological developments concerned both the development and the release of multi-factor productivity estimates by industry in the OECD STAN STructural ANalysis Database and research on total economy productivity measures. A major achievement in 2011 was the publication of the OECD Productivity database by Industry (PDBi). PDBi data are updated on a regular basis and allow international comparisons in industry-level MFP measures and are fully compatible with data compiled in the STAN database.

Databases

Productivity by industry
Productivity/capital services database

Main Developments for 2012

General aspects:

In 2012, the productivity database at the whole economy level and the productivity database by industry will continue to be updated regularly with the aim to increase the number of available countries. Methodological developments will concern productivity indicators at the total economy level and productivity estimates by industry.

The Productivity database by industry will move to ISIC Rev.4.

Data management:

Productivity by Industry data where published for the first time in 2011. The move to the International Standard Industrial Classification of All Economic Activities, ISIC Rev.4 is planned for 2012, according to the release of an ISIC Rev.4 version of the OECD STAN database.

Quarterly National Accounts

Purpose

1. To provide a real time update of member and non-member countries' sets of quarterly national accounts to internal users, mainly the OECD Economics Department. Quarterly national accounts constitute a significant input into the OECD's macro-economic modelling and forecasting work.

2. To provide external users a selection of key long time series from countries' quarterly national accounts, some area totals and a consistent and internationally comparable set of data for analytical purposes.

Objectives and outputs

The OECD Quarterly National Accounts (QNA) database presents data collected from countries on the basis of a standardised OECD/Eurostat questionnaire based on SNA 1993/ESA 1995. It contains, as from 1960 whenever possible (and even before for a few countries), a wide selection of the accounts produced by the 34 member countries covering accounts at the level of the overall economy and some institutional sectors accounts.

Work is concentrated on producing relevant, reliable, consistent, comparable and timely quarterly national accounts for member countries and a few non-member economies.

The QNA publications contain a selection of the accounts most widely used for economic analysis: GDP - expenditure and output approaches (current prices and volume estimates), GDP income approach (current prices), Saving and net lending (current prices), Gross fixed capital formation (current prices and volume estimates) broken down separately by type of asset and by institutional sector, Disposable income and Real disposable income components, Population and Employment, Compensation of employees by industry, Employment by industry, Household final consumption expenditure (current prices and volume estimates) by durability and by purpose.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Quarterly National Accounts (QNA)

Main Developments for 2012

General aspects:

Continue to extend the coverage of the database by the inclusion of new accounts/series provided by countries.

Expand the geographical coverage of the QNA database by including more updated data from Enhanced Engagement (EE) countries,

and possibly remaining G20 countries (Argentina and Saudi Arabia).

Data collection:

Extension of the statistical content (new accounts, new sets of chained volume estimates, new seasonally adjusted series) and the time coverage (historical series) to take account of the development of QNA made in countries.

Extension of the country coverage (EE countries and remaining G20 countries).

Encourage non-EU countries to provide QNA data in SDMX format.

Source EU data directly from Eurostat validated data.

 

Quarterly Public Sector Debt

Purpose

This new database has been launched in the framework of a coordinated activity with the World Bank and the IMF to respond to the G20 Data Gap Initiative (Recommendation 18).

Objectives and outputs

Collect detailed and comparable quarterly data on the General Government Debt, the Central Government Debt and more broadly the Public Sector Debt.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Quarterly Public Sector Debt (7PSD)

Main Developments for 2012

General aspects:

New activity.

Data collection:

New activity.

Data management:

Creation of this dataset and updates.

Quarterly Sector Accounts (Financial part)

Purpose

To provide financial quarterly sector accounts data of member and non-member G20 countries for internal and external users.

The G20 Recommendation 15 has identified Sector accounts (annual and quarterly) as essential statistics to monitor economies.

The OECD is responsible for collecting and disseminating detailed quarterly sectoral accounts for OECD member countries and other non-member G20 countries.

Objectives and outputs

Quarterly financial accounts and quarterly financial balance sheets have been collected in 2011 for the first time and stored in the new QASA browser during the 4th quarter of 2011.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Quarterly Financial Accounts and Financial Balance Sheets

Main Developments for 2012

General aspects:

New activity in 2012.

Data collection:

New activity.

Data management:

New activity.

Quarterly Sector Accounts (Non-Financial)

Purpose

To provide non-financial quarterly sector accounts data of member and non-member G20 countries for internal and external users.

The G20 Recommendation 15 required identified Sector accounts (annual and quarterly) as essential statistics to monitor economies.

The OECD is responsible for collecting and disseminating of detailed quarterly sectoral accounts for OECD member countries and other non-member G20 countries.

Objectives and outputs

Continue to collect non-financial Quarterly Sector Accounts (QSA) data for EU countries in close collaboration with Eurostat; Collect non-EU QSA data through questionnaires. Release QSA data on OECD.stat for the countries that give permission to publish the data.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Non-financial Quarterly Sector Accounts

Main Developments for 2012

General aspects:

Collecting QSA data for EU countries that have not given permissions to the Eurostat for transmitting such data to the OECD, such as France and Germany.

Collecting data from non-EU countries that has not transmitted data to the OECD.

Releasing publishable QSA data on OECD.Stat.

Contribute to the IMF for releasing G20 QSA data on PGI-website.

STAN Input-Output database

Purpose

To provide a comprehensive database for cross country analyses of industrial structures, the interrelationships between consumers and producers, and the interactions between countries (e.g. as regards outsourcing and trade flows).

Objectives and outputs

The current OECD input-output database is based on detailed national accounts estimates of economic activity and interrelationships within economies. The database is based on an ISIC Rev.3 and is consistent with the latest system of national accounts (SNA93). Data for 33 OECD countries and 11 non-member countries are currently available, with latest data for many countries referring to 2005 with tables also available for most ountries for 2000 or nearest year and for the mid-1990s.

Non-member countries involved in the activity:
Argentina, Brazil, China, Chinese Taipei, Cyprus, India, Indonesia, Latvia, Lithuania, Malaysia, Malta, Other, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand.

Databases

STAN Input-Output database

Main Developments for 2012

General aspects:

Expand the country coverage (e.g. non-OECD EU countries).

Measuring disparities in a National Accounts framework

Purpose

The aim of the Expert Group on Disparities in a National Accounts framework (EG DNA) is to consider how existing micro data could be used to produce estimates of disparities between groups of households in the framework of National Accounts.

Objectives and outputs

The Expert Group has begun its work in early 2011. Final results are expected by end 2012.

The main focus of the expert group in 2011 has been on assessing the availability of micro and macro information on household income, consumption and wealth, and on analysing similarities and divergences between the two types of sources (step 1).

From January 2012 Expert Group members will aim at generating results based on a simplified methodology matching the two types of sources, and having information on disparities indicators on household income, consumption and saving rates by group of household consistent with National Accounts averages and comparable across countries (step 2).

The Expert Group held two meetings in 2011. A third meeting is planned for August 2012. The final report is expected to be circulated to CSTAT by the end of 2012.

Non-member countries involved in the activity:

India

Main Developments for 2012

General aspects:

The final report of the Expert Group is expected to be circulated to CSTAT by the end of 2012.


2.3 Business statistics (OECD)
Business Statistics and Entrepreneurship

Purpose

i) To provide official annual data for detailed industrial and service sectors (at the 4 digit ISIC level), consistent and relevant for international comparison in order to meet policy makers' and analysts' needs for structural business statistics for detailed economic sectors. Three databases are currently maintained.

ii) To develop a program of internationally-comparable indicators of entrepreneurship, its determinants and its impacts, to inform policy-analysis and policy-making. This activity is called Entrepreneurship Indicators Program (EIP).

Objectives and outputs

i) The databases on structural business statistics (SSIS) and (BSC), updated through a joint questionnaire with UNIDO, contain annual data on core economic variables, relating to both industry and services, at a very detailed level of ISIC revision 3 (up to the 4th digit level). They cover such variables as production, value added, investment, number of enterprises, employment, wages and salaries, and hours worked. Statistics are derived mainly from structural business surveys, censuses and administrative sources.

The BSC database contains this information broken down by enterprise size class.

ii) In the framework of the Entrepreneurship Indicators Programme, Business Demography Indicators are collected formally and include indicators of birth, death and survival rates and numbers of high growth firms - all based on common concepts developped in the Eurostat-OECD Manual on Business Demography Statistics published in 2007.

The main achievement of this activity include the publication Structural and Demographic Business Statistics (March 2010) and the Statistics Brief No. 15 on Measuring Entrepreneurship (November 2010).

The Entrepreneurship Indicators Programme Steering Group held its sixth meeting in December 2010. This was followed by a Workshop jointly organised by the OECD and Eurostat. The Workshop focused on two categories of entrepreneurship determinants: culture and capabilities.

In addition to the Steering Group, the Secretariat has developed an EIP Network so that additional countries and organisations may remain abreast of the Entrepreneurship Indicators Programme work and participate on an ad hoc basis.

The EIP was presented in several official internal meetings and in Workshops and Conferences held outside the Organisation.

Non-member countries involved in the activity:

Brazil, Bulgaria, Latvia, Lithuania, Romania, Slovenia.

Databases

SDBS - Business Demography Indicators
SDBS - Structural Business Statistics

Main Developments for 2012

General aspects:

Expected improvements to SDBS statistics in 2012 include:

• The extension of the country coverage in the collection of comparable business demography statistics;
• The development of indicators by gender;
• The publication of the second issue of Entrepreneurship at a Glance in May 2012.

Data collection:

Extension of the country coverage in the collection of entrepreneurship statistics is expected. It is also expected that other entrepreneurship indicators will be identified and added.

Foreign Affiliates in Services

Purpose

To give detailed data on the role played by multinationals in the services sectors of the OECD countries, which concerns inward and outward foreign direct investment.

Objectives and outputs

The database on Foreign Affiliates Trade in Services covers the following variables: number of enterprises, turnover, value added, employment, personnel costs, investments, exports and imports, R&D expenditure and R&D personnel, for inward and outward activities of multinational firms. Data on the activity of parent companies are also requested.

Databases

Foreign Affiliates Trade in Services Database (FATS)

Main Developments for 2012

General aspects:

This database is going to be merged with the AFA database in a new AMNE database.

The 2010 questionnaire already includes these changes.

The cooperation with EUROSTAT should also become more important in 2011 going towards same definitions and questionnaires, except for the survey on parent companies.

Micro-data on enterprises

Purpose

To develop a large scale database of firm-level information, comparable across countries and industries. The database will contain a broad range of firm-level data, including employment, sales, labor costs, assets, etc., as well as information on the capital structure of firms.

This micro-database aims to complement existing OECD databases on industry and services (SBS, STAN, etc.).

Objectives and outputs

The micro-database is built on the ORBIS database of Bureau Van Dijk covering around 65 million companies across different industries and countries over several years. This database collects information on a broad range of financial and industrial information at the firm-level.

Given that the structure of the original database is not meant to serve research purposes, data is being extracted in a format suitable for analytical work. In addition, a thorough process of data cleaning and double checking is being undertaken to guarantee/increase the quality of the data.

In order to assess the coverage of the original database across industries and countries, existing databases will be used to assess the representativeness of the data.

The database is designed to support the analytical activities of different OECD directorates.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Europe, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela.

Databases

ORBIS

Main Developments for 2012

General aspects:

• Update the OECD Orbis database with a new architecture of the database, covering additional company and financial information, and as well ownership data with high quality;
• Develop more concrete definition of high growth firm and some possible work on Zephyr and micro enterprises;
• Investigate comparability or representativeness of ORBIS data with official micro-data available;
• Further identification of multinationals and business groups;
• Intra-firm trade estimates.

Data collection:

More comparable information is expected on business demography and Entrepreneurship statistics, especially on the basis of the new Eurostat-OECD manual on Business Demography Statistics.

Production and Sales Indicators

Purpose
To provide short-term economic indicators of production, sales, orders, work started and in progress and stocks for OECD member countries and selected large emerging non-member economies.

Objectives and outputs

All the subjects under the Production and sales are classified under the following six top headings: Production, Sales, Orders, Work started, Work in progress, Stocks. Within each heading, indicators are further classified according to economic activities.

A review of core indicators took place in 2010, with an aim of streamlineing the area, and prepare for a less co-ordinated operation between subjects within the MEI database and publications.

Non-member countries involved in the activity:

Brazil, China, Indonesia, Russian Federation, South Africa.

Databases

MEI_REAL

Main Developments for 2012

General aspects:

A review to streamline this area is planned.


2.4 Sectoral statistics (OECD)
3.1 Environment (OECD)
Agri-Environmental Indicators

Purpose

To provide information to policy makers on the current state and changes of the environment in agriculture to better understand the linkages between agricultural policies and environmental impacts.

Objectives and outputs

"Environmental Indicators for Agriculture" includes the complete list of agricultural indicators, which covers a range of issues, such as agricultural impacts on soil, water, air, biodiversity and landscape.

Databases

Nitrogen Balance Database

Main Developments for 2012

General aspects:

No major changes.

Environmental Data

Purpose

Produce objective, reliable and comparable environmental statistics at the international level as a factual basis for the OECD's policy and analytical work on environment, sustainable development and green growth (environmental indicators, environmental country peer reviews, resource productivity, environmental outlooks, green growth indicators).

Collect the best available environmental data in OECD member and partner countries, promote international harmonisation of these data (core set of environmental data) and strengthen the capacity of member and selected non-member countries in the field of information production, management and use concerning the environment and sustainable development.

Objectives and outputs

Contribute to the update of the OECD Compendium of environmental data and to the update of the OECD System of Information on Resources and the Environment (SIREN) database.

Data collection from member countries via the OECD questionnaire on the state of the environment (joint work with Eurostat ; co-operation with UNSD and UNEP for non-member economies), and from other international sources.

Contribute to the international harmonisation of environmental data, definitions and concepts, and the cost-effectiveness of related international work.

Non-member countries involved in the activity:

Russian Federation

Databases

SIREN (System of Information on Resources and the Environment)

Main Developments for 2012

General aspects:

Implementation of the Collaborative Plan of Action on Environmental Data Quality, linked to the "OECD Quality Framework" and improved data quality in selected areas (continued work) with a focus on key reference series and on "data efficiency", "coherence among countries" and "interpretation", through simplified annual updates and improved country documentation *annual quality assurance). Continued review and simplification of questionnaire. Improved access to environmental information and migration of reference series to the OECD's statistical platform.

Review of information needs for OECD policy analysis and evaluation. Identification of main gaps in OECD data collection and treatment. Identifcation of priority issues for data quality efforts in the next years. Inventory of available national and international data sources.

Continued work on the measurement of material flows and resource productivity (as part of the implementation of the OECD Council recommendations on material flows and resource productivity adopted in 2004 and 2008). Preparation of a fact-based report on the state of resources in OECD countries and beyond. Co-operation with the UNCEEA and the London Group on Environmental Accounting.

Data collection:

Ongoing revision and simplification of the questionnaire sections (joint work with Eurostat and in co-operation with UNSD/UNEP). Data collection in 2012 to focus on key environmental reference data (annual quality assurance process) and on the sections: inland waters, waste and environmental protection expenditure.

Data management:

Public access to selected environmental reference series on OECD.Stat (air emissions, GHG emissions, municipal waste, forest resource use, threatened species, water resources and treatment).

Environmental Indicators

Purpose

Provide sound, measurable and policy-relevant indicators for the OECD's policy and analytical work on environment and sustainable development (e.g. environmental outlook, environmental country reviews, sustainable development, green growth, economic analysis) and support related member and selected non-member countries' efforts.

Develop core sets of reliable, measurable and policy-relevant environmental indicators to contribute to: measuring environmental performance with respect to environmental quality, environmental goals and international agreements; integrating environmental concerns in economic and sectoral policies; monitoring progress towards environmentally sustainable development and green growth, including decoupling of environmental pressure from economic growth; measuring material flows and resource productivity (link to the OECD Council recommendations on material flows and resource productivity adopted in 2004 and 2008); informing the public about major environmental trends and conditions.

Objectives and outputs

Support the work of the OECD Environmental Policy Committee and its subsidiary bodies, in particular country peer reviews.

Further develop sets of sectoral indicators: agri-environmental indicators (see related activity description); material flow and resource productivity indicators for international use at various levels of detail/aggregation. Prepare and publish a set of indicators to monitor progress with green growth (report to be published at the occasion of the 2011 MCM as a companion volume to the OECD Green Growth Strategy Synthesis Report).

Databases

Environmental indicators

Main Developments for 2012

General aspects:

Updated OECD key environmental indicators (KEI) and major environmental indicators for use in country peer reviews. Review of indicators for peer reviews.

Set of indicators to monitor progress with green growth (link to the development of the OECD Green Growth Strategy). Publication of report for the 2011 MCM.

Improved set of urban environmental indicators to support environmental country reviews and work on Green Cities (GOV).

Proposed set of indicators on environmental quality of life (link to the recommendation of the Stiglitz-Sen-Fitoussi commission and to the publication "How's Life").

New and improved indicators on biological diversity (in support of environmental performance review and the environmental outlook).

Instruments Used for Environmental Policy

Purpose

To provide harmonised information on environmentally related taxes and on a number of other instruments used for environmental policy. In support of the OECD work on the use of economic instruments, draw policy conclusions and develop practical guidelines for their implementation.

Objectives and outputs

The OECD/EEA database instruments used for environmental policy provides much information on various instrument categories applied in OECD member countries. The original focus of the database was on environmentally related taxes, in particular, on pollution-oriented levies and tax-bases, but levies related to resource management have also been included. The tax-bases covered include energy products, transport equipment and transport services, as well as measured or estimated emissions to air and water, ozone depleting substances, certain non-point sources of water pollution, waste management and noise, in addition to the management of water, land, soil, forests, biodiversity, wildlife and fish stocks.

Through co-operation with the European Environment Agency, the country coverage of the database has been broadened to include a number of OECD non-member countries affiliated to EEA.

The instrument coverage has also been broadened, and now includes tradable permit systems, environmentally motivated subsidies, deposit-refund systems and voluntary approaches used for environmental policy.

The tax information for old and new OECD member countries was updated in 2011. The coverage of state-level taxes applied in United States, and provincial taxes applied in Spain, has been significantly expanded. The new member countries have provided more information on non-tax instruments that they apply. We have also received much new information on environmentally motivated tax reliefs, from a number of member countries.

Non-member countries involved in the activity:

Albania, Bulgaria, Croatia, Cyprus, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Moldova, Romania, Serbia and Montenegro, Slovenia, South Africa.

Databases

ENV\NP\EcoInst under Projects on WebDev2

Main Developments for 2012

General aspects:

A further broadening of both country and instrument coverage is expected. In particular, it is hoped that we will receive information on instruments applied in Latin American non-member countries. The coverage of environmentally motivated tax reliefs will also be improved.

In addition, a complete re-write of the code underlying both the open database and the web-site where the data is being entered is underway.

Data collection:

The code underlying the database updating web-site is in the process of being completely rewritten.

Data management:

A complete rewrite of the underlying code is underway. It is too early to indicate all implications of this.

Green growth indicators

Purpose

To continue to provide and develop indicators for the OECD's Green Growth Strategy.

Objectives and outputs

Identification and compilation of set of headline indicators for Green Growth (June 2012).

Update OECD green growth indicators report (publication Q1 2013).

Assessment of measures and estimates of natural assets, including land (2012 Autumn/Winter workshop).

Non-member countries involved in the activity:

Brazil, China, India, Russian Federation, South Africa.3.2 Regional and small area statistics (OECD)
Regional Statistics and Indicators

Purpose

To provide internationally comparable databases for the analysis of sub-national (regions and metropolitan areas) socio-economic statistics. Measures, data quality and comparability are discussed (approved) by the OECD WPTI.

Objectives and outputs

The main objective is to provide internationally comparable databases for the analysis of relevant socio-economic trends at the sub-national level.

The Regional database includes basic statistics on six major topics (demography, economy, labour market, society, environment and innovation) covering around 2000 regions. The Metropolitan database will cover around 200 metropolitan areas across the OECD countries.

Regional statistics and indicators are regularly published in "OECD Regions at a Glance" and in "OECD Regional Outlook".

Disseminate the Regional Database through OECD.Stat and through the webtool OECD eXplorer, an interactive mapping tool designed to explore and visualize regional statistics.

Non-member countries involved in the activity:

Brazil, China, India, Russian Federation, South Africa.

Databases

Regional Database (RDB)

Main Developments for 2012

General aspects:

The main objectives for the year 2012 are to:

• Include regional statistics from non-OECD countries (Enhanced Engagement);
• Release the new Metropolitan Database based on a functional economic definition of cities;
• Develop a set of regional indicators of well-being at local and regional level;
• Produce new regional indicators of innovation based on Scopus;
• Carry out regional analysis using micro-data on businesses;
• Use the web-tool OECD explorer to further disseminate the Regional Database;
• Produce dynamic documents online, through the OECD eXplorer, showing the most relevant regional trends.

Data collection:

• Development of a set of indictors on well-being;
• Collection of business demography data at regional level;
• Data collection for the new Metropolitan Database.3.3 Multi-domain statistics and indicators (OECD)
2.4.1 Agriculture, forestry, fisheries (OECD)
Indonesia: Review of Agricultural Policies

Purpose

Calculate producer supporte estimates for Indonesia. Integrate Indonesia in OECD agricultural databases.

Objectives and outputs

Publication of PSE results for Indonesia. Integration of Indonesia into a regular Monitoring and Evaluation process of agricultural policies.

Non-member countries involved in the activity:

Indonesia

Databases

PSE database for Indonesia

OECD-FAO Agricultural Outlook 2012-2021

Purpose

To provide an annual update of statistical information and projections by country for OECD members, the OECD area, selected non-member countries, other developing and least developed countries and regional and world aggregates, of supply and use balances for cereals, oilseeds, biofuels, sugar, meats, dairy and fish products up to 2021.

Objectives and outputs

To maintain a database with detailed supply and use information for most temperate zone agricultural commodities. The tables provide detailed information for production, consumption, trade, stocks and prices in OECD countries and a large number of other countries including China, Argentina, Brazil, India, South Africa, Russia and other CIS independent states and many smaller countries and regions in Africa, Asia and Latin America. Most series cover the period from 1970 to the most current year and include updated annual projections for up to ten years in the future.

Non-member countries involved in the activity:

South Africa.

Databases

The Agricultural Commodities Database

Main Developments for 2012

General aspects:

Pilot with Prognoz.

Producer and Consumer Support Estimates in OECD Countries and selected economies

Purpose

To collect, process, evaluate and publish data on support to agriculture in OECD countries. The activity also provides staff with a database for various research and analysis activities of the Directorate. This is a joint activity between the "Agricultural Policies and Environment", the "Development" and the "Policies and Trade in Agriculture" Divisions of the Trade and Agriculture Directorate.

Objectives and outputs

To update the Producer and Consumer Support Estimate annual database and to calculate the various indicators of support to agriculture. The data are used to evaluate agricultural and other policies in OECD countries, mainly in the annual Agricultural Policies in OECD Countries Report, which is reviewed and approved by the Working Party on Agricultural Policies and Markets.

The data collected and the method used to calculate the indicators of support are reviewed both internally, and externally by the Working Party on Agricultural Policies and Markets, on an annual basis. These review processes improve the data quality as well as the methodology used in the calculations.

In this context, a new classification of the component parts of the support estimates was implemented from the 2007 Agricultural Policies in OECD countries Monitoring and Evaluation report. The database was extended to cover the new member countries in 2009 and 2010. A user friendly tool is being developed on the website for greater availability of the quantitative and analytical information to the public.

Non-member countries involved in the activity:

Brazil, China, Cyprus, Latvia, Lithuania, Malta, Russian Federation, South Africa.

Main Developments for 2012

General aspects:

The 2012 report covers the OECD countries.

The major innovation will consist in an in-depth chapter on innovation as well as the pursued developments to design the web site for improved dissemination of statistical information.

Review of Fisheries in OECD Countries - 2012

Purpose

To collect and present data for the publication Review of Fisheries. To provide staff, and other potential users, with a database for research and analysis purposes. The latter applies to the Policy Reviews as well as other activities of the Division. To provide other Directorates with data on fisheries resources.

Objectives and outputs

The principal purpose is to collect and make available data on a consistent basis among member countries (and observers) of statistics relevant to fisheries i.e. landings (harvest) and processing, fleet, fishers, employment, trade (via the ITS database), aquaculture and government financial transfers. The data are used nationally, principally for reporting purposes and internationally (e.g. OECD), for analytical purposes. Data also serve as reference for other international organisations and as a means for cross-checking and reconciling information from national sources.

Questionnaires and tables are sent (annually) to national correspondents following discussion and approval by the Committee for Fisheries. Data are collected and disseminated in the Review of Fisheries Statistics. Data published are also accessible via the public fisheries web site and more recent series through the Committee Web Site. At the international level co-ordination takes place among agencies involved in fisheries statistical programmes through the Co-ordinated Working Party (CWP) on Fisheries Statistics. The OECD is in close co-operation with the FAO and EUROSTAT in the collection of fisheries data. This is done, inter alia, with a view to avoid overlapping activities.

The data collected (and the procedures) are reviewed by the Committee for Fisheries on an annual basis. Internationally, improvements are carried out through the CWP.

Non-member countries involved in the activity:

Argentina, Chinese Taipei, Russian Federation, Thailand.

Databases

Review of Fisheries in OECD Countries

Main Developments for 2012

General aspects:

Continued improvements in metadata and comparison possibilities across member countries. The Government Financial Transfer (GFT) data are now included in the database. Data are now available to the public via the fisheries web site. Chinese Taipei and Thailand have been included since 2006. A major overhaul of the database took place in 2005.
2.4.3 Mining, manufacturing, construction (OECD)
Steel

Purpose

To provide the statistical background needed for policy discussions in the Steel Committee. Statistics are also produced for publications on steelmaking capacity in non-OECD economies.

Objectives and outputs

To provide participants of the Steel Committee with a broad range of information on the world steel industry and related raw material markets in order to enhance transparency and facilitate discussion by member and non-member economies on challenging policy issues facing the industry. More specifically, the statistical work includes gathering data on steel supply (capacity, production), demand, prices, trade, employment, and trade policy measures, in addition to market data on raw materials used in steelmaking (iron ore, coal, coke, ferrous scrap, and ferroalloys).

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Dominican Republic, Ecuador, Egypt, El Salvador, Europe, Georgia, Guatemala, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.2.4.4 Transport (OECD)
Annual Transport Statistics

Purpose

To provide annual transport information presenting disagregated statistical data in the transport sector.

Objectives and outputs

Data are collected in a harmonised way to facilitate comparisons between modes of transport and between countries by means of the Common Questionnaire developped jointly between three international organisations: Eurostat, ITF and UNECE.

Data cover topics such as infrastructure, rolling stock, human resources, investment, transport, traffic and energy consumption for different inland transport modes.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Slovenia, Tajikistan, Turkmenistan, Ukraine, Uzbekistan.

Databases

Transport Statistics - Common Questionnaire

Main Developments for 2012

General aspects:

ITF is developping a corporate database to integrate the information collected by means of the Common Questionnaire. The coporate database is planned to be ready towards the end of 2012.

Data collection:

Upgraded version of the WEB questionnaire.

International Database of Taxes and Changes for Road Freight Transport

Purpose

To provide indicators for efficiency and impact on competition of taxes and charges for transport in order to allow international comparisons.

Objectives and outputs

The final report provides a framework for international comparisons and discusses the economic principles for efficient systems of taxation. It provides a basis for addressing the questions "what is the right level for transport taxes" and "what kinds of charges should be used".

Main Developments for 2012

General aspects:

No major changes.

Investment in Transport Infrastructure

Purpose

To provide an annual update of statistical information on transport infrastructure investment, for all ITF countries, on total gross investment and maintenance expenditure.

Objectives and outputs

After processing the data, quality checks were carried out to select reliable time series to be made available on the web site along with a short analysis of trends.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Georgia, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Slovenia, Ukraine.

Databases

Investment in Transport Infrastructure

Main Developments for 2012

General aspects:

Data quality was improved by using more appropriated deflators when available.

Quarterly Transport Statistics

Purpose

To provide harmonised information on selected basic quarterly indicators in order to compare the latest inland transport trends between countries.

Objectives and outputs

To publish results every three months on the ITF web site, on a country by country basis with 4-5 months lag maximum (data for the first quarter is collected in June and published in July). Available series cover good transport in T-km, passenger transport in P-Km, road traffic in V-Km, brand new vehicles registration, car fuel consumption, road fatalities, imports and exports at current prices and industrial production.

Country by country data tables are available, as well as graphs showing trends for both individual countries and selected groups of countries.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Georgia, Latvia, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Slovenia, Ukraine.

Databases

Short-term trends survey

Main Developments for 2012

General aspects:

Starting with the publication of the 2nd quarter of 2009 results, an analytical report based on seaonnaly adjusted data is published each quarter published with the data on the ITF WEB site.

Information on air and maritime transport are integrated in the analysis to provide a global view on the transport activity.

An annual leaflet "key Transport Statistics" based on data for the 4 quarters is published each year in May for the ITF annual Summit in Leipzig.

Transport Sector Trends Analysis

Purpose

To provide a first analysis of both passenger and freight transport trends, as well as road accident trends. A short list of selected indicators are collected for that purpose.

Objectives and outputs

To publish an analysis of the transport situation in different geographical regions. The publication also gives the latest statistics on the situation of the transport market in ITF countries and presents charts which help to show what changes have occurred since 1970.

Because it is published earlier than any other comparable study, this report provides first-hand figures about passenger and freight transport as well as road accidents.

Since 2008 the publication also includes information on investment and maintenance expenses in transport infrastructures.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Georgia, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Slovenia, Ukraine.

Databases

Trends in the Transport Sector - Leaflet

Main Developments for 2012

General aspects:

The publication covers all transport modes including maritime and air as well as investment and maintenance expenses on transport infrastructures.
2.4.5 Tourism (OECD)
Tourism

Purpose

To meet the 2012-2016 Mandate of the Tourism Committee: a) improve the measurement of tourism services in OECD economies by addressing government and industry information needs and promoting the tourism satellite account; b) contribute to the dissemination of data on tourism economics and to a more effective use of such data for business and policy analysis and decision-making processes; and c) work in complementarity with other international organisations.

Objectives and outputs

In 2012, the third edition of "OECD Tourism trends and policies 2012" will be released. For the first time, it will be undertaken in cooperation with the European Committee. It will therefore contain augmented statistical data on member and selected non-member countries (54 countries). These data will be collected by two methods: a questionnaire will be addressed to countries; data extracted from OECD data bases. On the other hand, efforts will be made towards the dissemination of data and analysis on tourism economics at national and local levels. Special efforts will tend to promote the use of Tourism Satellite Account to public and private tourism stakeholders. In 2012, the activity on "Evaluating and Measuring Competitiveness in Tourism" will aim to identify a set of core/key indicators for measuring the overall performance and competitiveness of a country in tourism. At a later stage it will also include a pilot testing with voluntary countries.

Non-member countries involved in the activity:

Albania, Argentina, Brazil, Bulgaria, China, Croatia, Cyprus, Egypt, India, Indonesia, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, South Africa.

Databases

Tourism.
2.4.6 Banking, insurance, financial statistics (OECD)
African Central Government Debt Statistical Yearbook

Purpose

Borrowing requirements by governments in Africa to finance their budget deficits are met, to a large extent, by funds raised on financial markets and by non-marketable debt via bi-lateral, multi-lateral and concessional loans. Debt management techniques and policies can influence substantially the functioning of capital markets and the development of new financial instruments. As a consequence of globalisation, cross-border government borrowings have become more significant. Government debt instruments attract both institutional and retail investors and have an important share in the portfolios of fund managers.

The focus of the African central government debt statistical yearbook is to provide comprehensive quantitative information on African central government debt instruments i.e. marketable debt and to the extent possible the non-marketable debt as well, in all African countries. The coverage of the data is limited to central government debt issuance and all bilateral, multilateral and concessional debt and excludes therefore state and local government debt and social security funds.

Statistics are derived from national sources based on a questionnaire prepared under the auspices of the OECD Project on African Public Debt Management and Bond Markets.

Individual country data are presented in a comprehensive standard framework to facilitate cross-country comparison. Accompanying country methodological notes describe the details of debt instruments in each country and provide information on the institutional and regulatory framework as well as on selling techniques of debt instruments. This publication could not have been accomplished without the active contributions by African debt managers and the generous financial contribution by the Icelandic government.

Countries included are: Angola, Cameroon, Gabon, Kenya Madagascar, Malawi, Mauritius, Morocco, Mozambique, Namibia, Nigeria, Sierra Leone, South Africa, Tanzania, Tunisia, Uganda and Zambia.

Objectives and outputs

The African central government debt statistical yearbook provides greatly improved statistics on African central government debt instruments and debt stocks. The focus of the statistics is to analyse in detail marketable and non-marketable debt instruments in African countries with a view to providing an analytical tool, primarily to government debt managers but also to financial analysts from commercial financial institutions, research institutions, central banks, international financial institutions, government agencies, etc. The intention of the OECD Project on African Public Debt Management and Bond Markets is to disseminate annually revisions and updates in the form of paper and electronic editions.

Non-member countries involved in the activity:

Other.

Databases

African Central Government debt statistical yearbook

Main Developments for 2012

General aspects:

Third edition will contain revisions and updates from previous editions.

Bank Profitability - Financial Statements of Banks

Purpose

To compile comprehensive statistics based on financial statements and balance sheets of banks in order to analyse the developments in the profitability of the banking sector of OECD countries.

To provide detailed methodological country notes on the institutional and geographical coverage, the degree of consolidation, the structure of the banking system, the various activities of the banks covered, specific information on individual items, the sources of the data.

Objectives and outputs

The database and publication "Bank Profitability" provide statistical and methodological information to assess the changes in the state of health of national banking systems of OECD countries. They include data on the income statements and balance sheets of a number of bank groupings as well as on the structure of the national financial systems. The statistics relate to all institutions which conduct ordinary banking business, i.e. institutions which primarily take deposits from the public at large and provide finance for a wide range of purposes.

Banking indicators calculated on the basis of the primary data are also provided.

The database has been updated up to 2009 for all countries which were able to provide these data, which is a great improvement in timeliness.

Methodological notes complementing the data have been revised.

Non-member countries involved in the activity:

Russian Federation.

Databases

Bank Profitability - Financial Statements of Banks

Main Developments for 2012

General aspects:

The management of the Bank Profitability database has been provisory suspended in 2011, due to a lack in resources allocated to the Financial Statistics team and to a reorientation of STD priorities.

Data collection:

No change planned because the management of this database is suspended in 2011.

Data management:

None.

Fast-track data collection from largest pension funds worldwide

Purpose

The main goal of this exercise is to help policymakers gain a better understanding of investment strategies and risk management conducted by some of the world's leading pension funds. Further, the study will attempt to explain the extent to which differences in liability structures and country-specific regulation explain differences in the management style of funds.

Objectives and outputs

The questionnaire intends to collect quantitative and detailed qualitative information on investment rate of return, asset allocation, derivatives and operating costs. It also includes detailed questions on pension funds' investments in infrastructure.

In 2011, 23 pension funds in Australia, Brasil, Canada, Chile, Colombia, Denmark, Italy, Mexico, the Netherlands, Peru, Portugal, South Africa, Spain and the United Kingdom participated in the study.

Non-member countries involved in the activity:

Brazil, Colombia, Peru, South Africa.

Main Developments for 2012

General aspects:

Coordination by pension funds' regulators will be encouraged to increase sample size and geographical coverage.

Financial Literacy Measurement

Purpose

To report the levels of financial literacy amongst the adult population in surveyed countries and be able to compare across countries.

Objectives and outputs

Data collection and processing has been undertaken, and an analytical framework has been created.

Initial data analysis has been undertaken, and various measures of financial literacy have been created. The results will be made available in 2012 through one or more working papers.

Non-member countries involved in the activity:

Albania, Armenia, Malaysia, Peru, South Africa.

Monitoring of Insurance Markets: Global Insurance Statistics

Purpose

The recent financial market turmoil and rapid changes in financial markets and financial systems are creating new challenges for financial statistics. The increased complexity and potential opacity of financial sector operations resulting from globalisation and rapid innovation call for further transparency, better and more comprehensive data, and an enhanced capacity to analyse this data.

With a view to contributing to the development of macro-overview of the insurance market, the current standard questionnaire allows to collect key aggregate statistics relating to premium volume, balance sheet and income statement items (e.g., total assets, shareholder equity, technical provisions, net income), and portfolio investments.

Objectives and outputs

In the new framework of insurance statistics, the questionnaire is divided into two parts. The first part includes data on premium and key variables pertaining to the financial strength and profitability of the insurance sector. Data for this first part are collected during the first half of the year.

The second part includes more detailed information on premiums, claims, commissions and expenses, as well as information on reinsurers. Data for this second part are collected during the second half of the year.

Non-member countries involved in the activity:

Hong Kong, Malaysia, Russian Federation, Singapore, Slovenia.

Databases

Insurance

Main Developments for 2012

General aspects:

Further improvements foreseen within the framework of this project will include:

• Accelerating the collection of statistics to enhance timeliness;
• Expanding the current compact set of core statistics and indicators to include additional indicators;
• Organisation of a Global Seminar on Insurance Statistics in Asia. The participation of selected additional countries in the regions will be sought at this occasion;
• Seeking greater synergy between existing OECD insurance and pension statistical activities;
• To provide economic globalisation indicators of insurance statistics to analyse and measure the market share of foreign companies in the global market;
• Extending the geographical scope.

Monitoring of Private Pension Systems: Fast-track data collection

Purpose

The collection of key infra-annual statistical information is meant to improve the timeliness of the release of the OECD funded pension statistics to the public and to other international organisations.

Objectives and outputs

The fast-track data collection allows to collect recent statistical data on the pension fund sector. Only key variables are collected, such as total assets, investment rates of return and funding/solvency levels for DB pension plans.

Non-member countries involved in the activity:

Albania, Brazil, Bulgaria, Colombia, Costa Rica, Hong Kong, Latvia, Liechtenstein, Lithuania, Other, Peru, Republic of Serbia, Romania, Slovenia, South Africa, Thailand, Ukraine.

Main Developments for 2012

General aspects:

The variable 'Net investment return' is now collected to allow the OECD to calculate the investment rate of return, based on a formula agreed by the Task Force on Pension Statistics.

Data collection:

In 2012, countries will be invited to provide data on the net investment return.

Monitoring of Private Pension Systems: Public Pension Reserve Funds

Purpose

Funding is growing in what have been traditionally exclusively PAYG-financed, social security systems. Funding in these systems takes the form of reserve funds, which in most cases are institutions with their own governing board and look like pension funds in many aspects.

The main goal of the statistical exercise on Public Pension Reserve Funds is to collect in-depth and comparable information on these funds, with a focus on assets, asset allocation, and performance.

Objectives and outputs

Since 2003, the OECD collects statistical information on Public Pension Reserve Funds. Between 2003 and 2008, data were collected through information publicly available on the internet. Since 2009, a statistical questionnaire has been developed and allows to collect more in-depth and comparable information on Public Pension Reserve Funds, which is released on a yearly basis in the newsletter Pension Markets in Focus.

Non-member countries involved in the activity:

Argentina.

Main Developments for 2012

General aspects:

A new database will be created in Statworks to include data collected each year from Public Pension Reserve Funds.

Overview of private pension systems (methodological survey)

Purpose

The yearly review of funded pension system at national level intends to provide a benchmarking tool to develop further the understanding of pension systems and their compliance with the OECD classification for funded pension plans and funds. It also provides information related to the statistical data coverage of the OECD Global Pension Statistics.

Objectives and outputs

This annual survey provides comprehensive detailed metadata for the users of funded pension statistics. The survey, based on a standard template, allows the compilation of comprehensive and detailed metadata individually for all OECD and some non-OECD countries. Standard information allows bilateral comparisons and provides, to a large extent, the underlying differences that explain the cross-country discrepancies in funded pension statistics. The survey also allows the monitoring of methodological improvements over time and provides valuable information on the compliance of systems with the OECD Classification of funded pension plans and funds.

Further reading: OECD (2005), Private Pensions: OECD Classification and Glossary, OECD, Paris.

Non-member countries involved in the activity:

Albania, Brazil, Bulgaria, Colombia, Costa Rica, Hong Kong, Macedonia, Other, Republic of Serbia, Romania, Slovenia, Thailand.

Main Developments for 2012

General aspects:

No major changes.

Retirement Savings Adequacy

Purpose

The main goal of this research is to assess whether people are saving enough for retirement and to examine the role that private pensions play and could play in the retirement readiness of the working age population.

Objectives and outputs

The project consists of three phases:

• Phase 1 assesses how much individuals have to finance retirement, considering all pension sources, mainly state pensions, occupational pensions and personal pensions.
• Phase 2 extends the sources available to finance retirement by incorporating other savings that people can tap into at retirement (e.g. life insurance and housing).
• Phase 3 compares retirement income with a suitable reference income to determine whether people are sufficiently prepared to finance their retirement.

In 2012, calculations will be done for 2-3 countries.

Main Developments for 2012

General aspects:

In 2011, calculations of retirement savings adequacy have begun for Germany and the United States. The analysis will be extended to additional countries for the period 2012-2013.

Financial Indicators

Purpose

To capture in quantitative terms an important but heterogeneous and fast evolving area in globalisation of the financial markets and increased sophistication of the actors and activities in these markets.

Objectives and outputs

The Financial Indicators dataset contains financial statistics on six separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, Reserve Assets, International Trade, and Share Prices. In all cases considerable effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series' data to aid with analysis.

Non-member countries involved in the activity:

Brazil, China, Indonesia, Russian Federation, South Africa.

Databases

MEI_FIN

Main Developments for 2012

General aspects:

None expected.

Pension Monitoring

Purpose

In order to ensure that pension reforms are both financially and socially sustainable, it is essential to monitor the outcomes of changes in pension system parameters and rules. The activity uses a microeconomic approach which is particularly suitable for international comparison of pension policies. Prospective individual benefit entitlements from mandatory pension arrangements are modelled for full-career workers at different earnings levels. The framework uses the same economic assumptions for all countries and thereby abstracts from non-pension factors, which often distort international comparisons of pension systems. See www.oecd.org/els/social/ageing/PAG.

Objectives and outputs

To monitor pension systems and pension policies in OECD countries, to collect, up-date and analyse information on pension system rules and parameters and to model prospective pension entitlements for standard retirement, early retirement and interrupted careers. The output of this activity is published in regularly updated reports.

The second edition of Pensions at a Glance Asia/Pacific will be released in early 2012. The Women and Pensions report will be published in March 2012. Regional reports covering LAC and ECA will be produced during the year and work will commence on an update to Pensions Panorama.

In 2011:

• The main Pensions at a Glance publication was released and is available at www.oecd.org/els/social/pensions/PAG
• Key data were disseminated in OECD.Stat via http://stats.oecd.org/Index.aspx?DataSetCode=ELSPENSIONS
• An on-line Pension calculator was updated, via http://www.oecd.org/document/12/0,3343,en_2649_34757_43024076_1_1_1_1,00.html
• Most indicators related to pensions are available on-line in MS-Excel format via www.oecd.org/els/social/pensions/PAG

The fifth edition of Pensions at a Glance will be published in early 2013. The report will include updates of the models with 2010 parameters.

Non-member countries involved in the activity:

Argentina, Bolivia, Brazil, Bulgaria, China, Colombia, Costa Rica, Cyprus, Ecuador, Hong Kong, India, Indonesia, Latvia, Lithuania, Malaysia, Malta, Peru, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand, Uruguay, Venezuela.

Databases

Pension monitoring database

Main Developments for 2012

General aspects:

The range of countries covered under the Pensions at a Glance umbrella is constantly expanding with the update for PaG Asia being released in early 2012. Additional regional publications are also planned to cover the LAC and ECA regions with an update of Pensions Panorama also beginning later in the year. Further areas of analysis will concentrate on periods of career absense because of unemployment as well as the release of the Women and Pensions report in March 2012.

Data management:

The number of indicators covered in the data will be increased leading to the creation of a pensions database.3.4 Yearbooks and similar compendia (OECD)
OECD Factbook

Purpose

To meet the needs of a wide range of users for a one-stop resource containing broadly based, comparative, country-based, economic, social and environmental data. To help users in assessing the position of a single country taking into account multiple dimensions and promoting the importance of policy coherence.

Objectives and outputs

The objective of the activity is to bring together data concerning various economic, social and environmental phenomena and highlight measurement issues, underlining areas where the comparability of statistics across countries is weak and describing initiatives undertaken to overcome these problems.

The Factbook is published both on paper and on Internet. The electronic version is made available for free and contains longer time series and more detailed metadata.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Main Developments for 2012

General aspects:

The 2012 edition will be published in the last quarter of 2012.

WikiProgress

Purpose

To create a centralized web community around the vision of measuring the progress of societies by creating a place where progress data and research articles can be loaded, visualised and analysed so good decisions about societies can be made at the local, national and international levels.

Objectives and outputs

1 - Wikiprogress : A database of articles submitted to the wiki by the community on measurements of progress.

• Over 10,000 unique visitors per month (from 4,800 in 2010)
• The number of registered users has doubled in the past 12 months to 862 registered users (from 480 in 2010)
• An average of 100 new articles are created each month
• There are currently 30,000 subscribers to the Wikiprogress eBrief

1a) New networks created: Wikiprogress Latin America Network, Child Well-being (wikichild)

1b)eBrief a monthly communication going out to networks on latest in progress news (community portal, latest publications, latest articles, latest data, etc)

1c) Arab Spring article series written

1d) Child Well-being indicator book published

1e) Gender equality and progress monthly series started

1f) A data visualisation strategy was developed

1g) 7 new content partners added to the community

1e) An interactive map of progress initiatives was developed and integrated into the site.

2- Wikigender : as inequality is a major dimension of the progress initiative, gender equality will be a main emphasis in wikiprogress work and thereby merits its own platform and specialized community which will feed wikiprogress.

Key figures:

At the end of 2011, Wikigender had over 1,370 articles maintained by more than 1,350 editors. In the course of 2011, Wikigender gained more than 350 new editors (over 70 more editors than in 2010)

An average of 22,000 unique visitors per month

An average of 50 new articles are created each month

2a) Wikigender University - Wikigender University gathered a total of 20 students and over 140 articles from partner Universities American University in Paris and Sciences Po.

2b) Wikigender progress series - monthly articles on the link between gender equality and dimensions of well-being

2c) Wikigender monthly reminders - 12 were sent this year

2d) Outreach to other networks and partners -

2e) The Wikigender team published its first book in 2011 via PediaPress, Wikigender University 2010-2011, a selection of articles (2011). The book includes 15 of the best quality articles from the Wikigender University programme

3- Wiki.stat: a database of progress related data continually filled.

3a) Data visualisation tools utilised

3b) Data upload application developed

4-The PROG BLOG: a regular communication on progress which will inform the progress interested community on the latest in research, data, initiatives and development on the wiki. 4a)With over 114 blogs posted in 2011 and a significant online following, the blog is a successful driver of traffic to Wikiprogress

- Research

5a)The paper "Trust and Communicating Statistics" was completed in 2011 in cooperation with the European Central Bank.

5b) Research and reflection on data visualisation resulted in a paper completed at the end of 2012

Wikichild:

A research network on child well-being indicators was integrated in cooperation with ELS.

Non-member countries involved in the activity:

World

Main Developments for 2012

General aspects:

1) dialogue will be conducted via online discussions and events

2) a book on global well-being indicators and initatives will be published via Pedia Press

3) creation of new networks regionally

4) storytelling and visualisations further enhanced

1e) Further development of communications tools: Prog Blog, Progress e Brief)

1g)upgrade of wiki.stat

24 Themes, 143 Statistical Activities


2.5 Government finance, fiscal and public sector statistics (OECD)
Central Government Debt Statistics

Purpose

To provide an analytical tool primarily to government debt managers as well as to financial analysts including policy analysts, security analysts, commercial financial institutions, research analysts, etc. This work is carried out under the auspices of the Working Party on Government Debt Management.

The publication "Central Government Debt - Statistical Yearbook" provides annual statistics on central government debt instruments in the 34 OECD countries. The coverage of the data is limited to central government debt issuance; it excludes state and local government debt and social security funds. The main focus of the statistics is marketable debt instruments as well as duration and average term to maturity of domestic, foreign and total debt.

In addition, the publication provides individual country notes including methodological information such as a description of debt instruments and selling techniques in each country.

Objectives and outputs

In the 2011 edition of the statistical yearbook, 3 new OECD Member countries will be added: Estonia, Israel and Slovenia.

Non-member countries involved in the activity:

World.

Databases

Central Government Debt Statistics

Main Developments for 2012

General aspects:

This data collection is suspended in 2012.

It is replaced by a new data collection launched in January 2012 named "Quarterly Public Sector Debt". Please see the details of this new activity in the 2012 Program of Work.

Data collection:

No data collection is planned in 2012.

Consumption Tax Trends

Purpose

To compile data from OECD member countries on their consumption tax rates, scopes and thresholds and provide comparative tables and analysis of trends. This includes data on VAT/GST, selected excise duties and car taxation. To compile statistics on VAT/GST revenues from internal OECD sources in order to provide an analysis of trends and calculate the VAT Revenue Ratio. To provide information about a number of consumption tax topics.

Objectives and outputs

Objectives: obtain consensus from WP9 delegates on the table of contents (approved in November 2011); Obtain data from member countries (February 2012); Analyse data (February-April 2012); Drafting & special features (April-July 2012); Edition process (July-September 2012); Publication: September 2012.

Non-member countries involved in the activity:

India

Databases

Consumption Tax Trends

Main Developments for 2012

General aspects:

Compared to 2010 Edition, a special chapter will be devoted to application of VAT in federal countries (including Australia, Canada, Brazil and India). New tables will be added on input tax blockings and low consignment reliefs. Methodological amendements will be brought to the calculation of the VAT Revenue Ratio.

Data collection:

None.

Fiscal Relations Across Levels of Government

Purpose

To collect data to support the activities of the Network on Fiscal Relations across Levels of Government. This includes data on sub national governments' discretion over own revenues and expenditures, on the design of local taxes, on intergovernmental transfers, on fiscal equalisation, on indicators of decentralisation, and on macroeconomic management of sub-central finance (fiscal rules).

Objectives and outputs

Collection and user-friendly presentation of revenue and spending shares (sub-central government as a share of general government and GDP).

Databases

Fiscal decentralisation

Main Developments for 2012

General aspects:

More data will be available on OECD.stat. More data will be presented in a user-friendly way on the Fiscal Network's own website.

Monitoring of Private Pension Systems: Global Pension Statistics

Purpose

Launched in 2002 this exercise provides a unique source of comparable statistics and indicators of funded pension plan systems from an international perspective and also facilitates cross-country comparisons of the most up-to-date statistics and indicators on key aspects of funded retirement systems across OECD and non-OECD countries. It aims to provide information about the main trends and features of funded pension plan systems in a clear and concise format.

Objectives and outputs

It aims to provide in a compact manner a comparative overview of the importance and structure of private and funded pension systems across OECD and non-OECD countries using a selected set of statistics and indicators, compiled on an on-going basis together with its companion product dedicated to the description and assessment of countries' statistical methodology following the OECD Classification on pension plans and pension funds.

As far as paper publications are concerned, the newsletter "Pension Markets in Focus" was released in July 2011 and private pension indicators have been included in the flagship publication 'OECD Pensions at a Glance 2011'. Contributions to other OECD publications (e.g. 'OECD in figures', 'OECD Factbook') will continue in 2012 as well as approximately sixty country profiles generated for the IOPS Web site on a yearly basis. In addition, one OECD flagship publication will be published in 2012 including private pension statistics: the 'OECD Pensions Outlook 2012'.

Non-member countries involved in the activity:

Albania, Bolivia, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Hong Kong, India, Indonesia, Kazakhstan, Latvia, Liechtenstein, Lithuania, Macedonia, Peru, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, Slovenia, South Africa, Thailand, Ukraine.

Databases

OECD Global Pension Statistics
Pension indicators

Main Developments for 2012

General aspects:

With respect to quality improvements, the work in 2012 will focus on methodological issues such as valuation methods for assets and liabilities, and review of definitions within the statistical questionnaire.

The geographical scope should be extented to non-member countries, and in particular OECD Accession and Enhanced Engagement countries as well as remaining G20 countries not in the GPS framework yet.

Data collection:

Following discussions within the subgroup of the Task Force on Pension Statistics dealing with quality issues, and after the approval of the Task Force, adjustements will be done to the OECD statistical questionnaire, notably for the definition of variables related to investment income, derivatives and asset allocation.

Data management:

Additional variables should be collected related to asset allocation and derivatives.

OECD Statistical Yearbook on Central Government Debt and Public Debt Policies

Purpose

OECD Statistical Yearbook on Central Government Debt and Public Debt Policies:

The OECD also undertakes the annual collection of data for central government debt according to the specific requirements of the Statistical Yearbook on Central Government Debt which provide detailed breakdowns on public debt management policies and information on related primary and secondary government securities markets. The collection and provision of these additional data can serve as satellite accounts and complementary information. The OECD Statistical Yearbook on Central Government Debt (and Public Debt Policies) is currently being revised partly in response to the G20 Action Plan on Local Currency Bond Markets. To that end, Hans Blommestein, Head of OECD's Public Debt Management and Bond Market Unit, presented papers at the Third International Workshop on Developing Local Bond Markets (hosted by the Bundesbank in Frankfurt on 17-18 November 2011 and organized by the IMF and WBG as part of the implementation of the G20 Action Plan).

Objectives and outputs

Statistics and policy description are published in "Central Government Debt - Statistical and Policy Yearbook" for OECD countries. This publication was issued for the first time in 2000, analysing in detail and country-by-country central government debt in OECD countries. The main focus of the statistics is marketable debt instruments. In addition, the publication provides individual country notes including methodological information as well as a description of debt instruments and selling techniques in each country. The objective is to provide an analytical tool primarily to government debt managers as well as to financial analysts including policy analysts, security analysts, commercial financial institutions, research analysts, etc.

The main objective of provide information on policies is to make available comparable cross-country data on public debt managment strategies, operations and techniques.

Databases

Central Government Debt Statistics

Main Developments for 2012

General aspects:

Preparation of the Central Government: Statistical and Policy Yearbook based on a revised version model of previous annual publications.

Up-date and expand version of the Central Government Debt: Statistical and Policy Yearbook is envisaged. Part of this work constitutes a response to the G20 request on addressing data gaps.

Develop and improve documentation on the sources and methodology of national data as well as debt policies, procedures and techniques.

Data collection:

Prepare the Central Government: Statistical and Policy Yearbook based on a revised version model of previous annual publications.

Revenue Statistics

Purpose

To provide data on tax revenues in OECD countries. These data are widely used within and outside the OECD to analyse tax policy developments in OECD countries.

Objectives and outputs

The annual "Revenue Statistics" publication provides a conceptual framework to define which government receipts should be regarded as taxes and to classify different types of taxes. It presents a set of detailed, internationally comparable tax data in a common format for all OECD countries from 1965 onwards.

Special features dealing with specific areas of interest (e.g. the interpretation of tax-to-GDP ratios; the impact of revised GDP figures on reported tax levels; changes to the rules for attributing revenues by level of government) represent an important component of the annual report.

Databases

Revenue Statistics

Main Developments for 2012

General aspects:

Publish data earlier - by September.

Revenue Statistics in Latin America

Purpose

To provide data on tax revenues for a selection of Latin American countries under an OECD classification system thereby enabling comparisions between LAtin American and OECD countries.

Objectives and outputs

The Revenue Statistics in Latin America" publication provides a conceptual framework to define which government receipts should be regarded as taxes and to classify different types of taxes in 12 selected Latin American and Caribbean countries. It presents a set of detailed, internationally comparable tax data from 1990 onwards in a common format using the same methodology as the OECD Revenue Statistics database. The publication presents detailed cross-country comparisions between individual Latin American economies and also for the first time between them and OECD countries.

Non-member countries involved in the activity:

Argentina.

Databases

Revenue Statistics in Latin America

Main Developments for 2012

General aspects:

Add an additional 3 countries to the 12 countries covered in the first edition of the publication.

Data collection:

Including 3 additional countries to make a total of 15.

Data management:

Coverage extended to 15 countries from 12 previously.

Tax Rates

Purpose

To provide information on tax rates in OECD countries. The taxes covered are personal and corporate income taxes, social security contributions and value added tax. The data are used to analyse tax rate trends and their policy implications.

Objectives and outputs

Data tables showing, for each of the main taxes, the rate and its method of application in each country are disseminated on the OECD website.

Databases

OECD Tax Database.

Taxing Wages

Purpose

To provide annual data for OECD countries on the personal income taxes and social security contributions paid by employees and their employers.

Objectives and outputs

The annual "Taxing Wages" publication details the tax/benefit position of employees, covering personal income tax and social security contributions paid by employees and their employers, and universal cash benefits received by family units. Taxes and benefits are detailed for eight family-types, which differ by income level and household composition. The report also presents the resulting average and marginal tax rates.

Databases

Taxing Wages

Main Developments for 2012

General aspects:

Earlier publication in 2012 compared with May in 2011.

Government at a Glance Indicators

Purpose

To collect comparable data and indicators of good government and efficient public services, and to provide robust empirics with which to assess the impact of public management reforms and progress made in their implementation.

Objectives and outputs

The objective is to presents internationally comparable set of data in order to help decision makers and the public analyse and benchmark government performance. The database includes measures of both the market and non-market activities of government and for selected indicators of government-owned enterprises. Data are based on general government/public sector labor statistics; on detailed information from general government national accounts (investments, public corporations, supply and use tables) and informations collected by GOV surveys on governance as well data collected on government outputs and outcomes by CTP, EDU, ELSA. Government at a Glance indicators are regularly (every second year) published in "OECD Government at a Glance". The last edition (2011) included indicators on public finance and economics, public sector employment; HRM; compensation for key public sector occupations ; regulatory governace; tranparency in governance; service delivery and also output and outcome measures for selected policy sectors and functions.

Non-member countries involved in the activity:

Brazil, China, Egypt, India, Indonesia, Russian Federation, South Africa, Ukraine.

Databases

Government at a Glance Indicators

Main Developments for 2012

General aspects:

In 2012 the main priorities are to consolidate the existing database with the introduction of periodical updates of such database for selected indicators. Moreover, priority is to implement the development of new indicators for Government at a Glance 2013 focusing on service delivery, rule of law and better indicators for the the implementation and results of various public management and governance practices.

Data management:

Planning to introduce periodical updates of the dataset for selected indicators.

Benefits and Wages

Purpose

Monitor reforms of tax and benefits systems and their impact on work incentives and income adequacy. Results are used as the basis of the OECD's "Benefits and Wages" publication and as inputs into a wide range of studies produced within and outside the OECD. In addition, the group develops and maintains tax-benefit models. These computer models allow a wide range of tax and benefit indicators to be produced. Finally, the online "tax-benefit calculator" and tax-benefit models for 32 OECD and an additional 6 EU countries are available on the web-page www.oecd.org/els/social/workincentives and are updated annually.

Objectives and outputs

The Benefits and Wages series addresses the complicated interactions of tax and benefit systems for different family types and labour market situations. The series is a valuable tool used to compare the different benefits made available to those without work and those with different levels of in-work income. The resulting indicators (such as 'net replacement rates') are useful for addressing issues of both work incentives and adequacy of household incomes.

Recent updates include calculations of incomes and work incentives net of childcare costs. Country coverage was recently extended to include Estonia, Israel and Slovenia, and, as part of a grant agreement with the European Commission, the new EU Members States who are not currently members of the OECD: Bulgaria, Cyprus, Latvia, Lithuania, Malta and Romania. Preliminary models have been developed for Russia. Finally, ad-hoc (2009) models were developed jointly with the World Bank for a number of south-eastern European countries: Bosnia and Herzegovina, Former Yugoslav Republic of Macedonia (FYROM), Serbia.

An interface for interactive web access to tax-benefit models has been developed ("tax-benefit calculator") and is available on the web-page www.oecd.org/els/social/workincentives. Also available on this web page are country files and model output for 38 countries.

Non-member countries involved in the activity:

Bosnia and Herzegovina, Bulgaria, Cyprus, Latvia, Lithuania, Macedonia, Malta, Republic of Serbia, Romania, Russian Federation, Slovenia.

Databases

Benefits and Wages

Main Developments for 2012

General aspects:

On-line publication of 2010 tax-benefit models, country files and an expanded range of work incentive and income adequacy indicators for 38 countries. Ad hoc update of policy summary tables. Development of 2011 models for 39 countries (adding Chile). Commence up-date of synthetic earnings distribution data, by gender, to latest post-crisis year available.

Data collection:

Include Chile.


2.6 International trade and balance of payments (OECD)
Creditor Reporting System (CRS) Aid Activity Database

Purpose

Provide Members of the Development Assistance Committee (DAC) and the international aid community a set of readily available basic data that enables analysis on where aid goes, what purposes it serves and what policies it aims to implement. The DAC uses the data for consideration of specific policy issues and for monitoring donors' compliance with various international recommendations in the field of development co-operation. Outside the DAC, the data is mainly used to analyse the sectoral and geographical breakdown of aid for selected years and donors or groups of donors.

Objectives and outputs

Improve consistency, presentation and coverage to reflect current development co-operation priorities and classifications. Continue work on converging DAC and CRS datasets. Improve reporting and timeliness at an activity level.

Since 2008 (reporting on 2007 flows) the CRS includes the Trade capacity Building Database (TCBDB) operated previously by WTO.

Databases

Creditor Reporting System (CRS) Aid Activity Database

Main Developments for 2012

General aspects:

No major changes.

Data collection:

No major changes.


Database on Country Programmable Aid (CPA database)

Purpose

Provide members of the Development Assistance Committee (DAC) and the international aid community a set of readily of available statistics on country programmable aid (CPA) flows. This new measure of aid comes much closer to capturing the flows received and recorded in country aid management systems than measures of total aid (ODA - official development assistance). CPA is estimated on the basis of the standard DAC statistics (DAC and CRS) and defined through exclusion, by subtracting from total gross ODA aid that is: unpredictable by nature (humanitarian aid and debt relief); entails no cross-border flows (administrative costs, imputed student costs, promotion of development awareness, and research and refugees in donor countries); does not form part of co-operation agreements between governments (food aid and aid from local governments); or is not country programmable by the donor (core funding of NGOs). The database provides reference data to DAC and other stakeholders for the analysis of fragmentation and planned forward spending of aid.

Objectives and outputs

To provide timely and comprehensive statistics on country programmable aid (CPA) for all countries and territories on the DAC List of ODA Recipients. To provide reference data for the annual Report of the Survey of Indicative Forward Spending Plans and for the annual Report on Division of Labour and global fragmentation.

Main Developments for 2012

General aspects:

Further strengthening the methodology to derive CPA.

Official and Private Resource Flows from DAC Members to Developing Countries

Purpose

The Development Assistance Committee (DAC) database provides comprehensive data on the volume, origin and types of aid and other resource flows to over 150 aid recipients. The data shows each aid recipient's receipts of official development assistance (ODA), other official flows and private flows from members of the DAC, multilateral agencies and other non-DAC donors.

Objectives and outputs

To provide timely and comprehensive statistics of official and private flows to all countries and territories on the DAC list of ODA recipients. Improve consistency, presentation and coverage to reflect current development co-operation priorities and classifications.

Update reporting guidance to maintain comparable statistics and improve reporting and comparability of statistics on the tying status of aid.

Support work on changing patterns of development finance and the increasing role of private flows.

Databases

Database on official and private resource flows from DAC Members to developing countries.

Main Developments for 2012

General aspects:

Continue with converging DAC data collections (CRS and DAC); propose converged directives for approval; further work on improving access to data, possible sharing of data with developing countries, and continuing help from Secretariat to members in improving statistical quality and timeliness.

Continue work on non-ODA flows which examines types of development financing other than ODA (non-concessional official loans inc. export credits, private flows inc. remittances, guarantee schemes). This analysis will focus on both the volume and developmental relevance of these flows.

DAC interest: DAC members afforded a high priority to this work during discussions of the PWB for 2011-2012, consequently (and based on the progress of work).

Data collection:

Improve types of aid reporting and convergence of DAC data collections (CRS+DAC).

Balance of Payments

Purpose

To collect and publish timely, accurate and internationally comparable Balance of Payments statistics to meet OECD user needs and in support of identified data needs.

Objectives and outputs

To provide timely summary quarterly statistics on Balance of Payments. To improve the efficiency of data collection, timeliness, international comparability and quality of the published balance of payments data on the MEI database. To contribute as appropriate to the OECD Quarterly Trade Press Release. To contribute to methodological work on Balance of Payments. To improve information on remittance flows to meet user needs. Integrate Enhanced Engagement countries.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

Balance of Payments
MEI_BOP

Main Developments for 2012

General aspects:

The SDMX coding for BOP in BPM6 including the extended Balance of Payments in Services classification will be elaborated in coordination with OECD/DAF and other International Organisations.

Data collection:

Improve the efficiency and timeliness of data collection. Find new data for non member countries.

International Coordination of trade in Services Statistics

Purpose

Given the wide variety of activities carried out by national and international organisations related to trade in service statistics, to improve coordination of international development work on trade in services statistics and facilitate a strategic view of priority needs. To provide an overview of these activities and facilitate communication between international expert groups involved. To identify overlaps, links and gaps in international work on methodological issues and data collection.

Objectives and outputs

In cooperation with UNSD, provide a report to the UN Statistics Commission (UNSC) on coordination of trade in services statistics, with proposals on strategy, as requested by UNSC.

Facilitate coordination on service statistics by providing central information point on services statistics developments, gathering information from active groups, and create and maintain web pages on international developments in services statistics.

Non-member countries involved in the activity:

Brazil

Main Developments for 2012

General aspects:

Continue to chair and coordinate the work of the Task Force on Statistics on International Trade in Services (TFSITS).Cooperate on the work related to the Trade in services compiler's guide.

International Trade in Goods

Purpose

To produce consistent and timely international trade data for OECD member countries and ensure methodological soundness and comparability of international trade data. To conduct research to improve the quality of the concepts underlying international trade data and play an active role in the development of international standards.

Objectives and outputs

Collects and maintains two databases for analytical use: (a) monthly data of exports and imports at current prices by partner countries and main categories of commodities, and volume and average value indices for selected countries and main categories; and (b) detailed annual data of exports and imports by commodities and by partner countries using three classifications (SITC, HS, ISIC).

Full implementation of the OECD-UNSD data sharing agreement covering all OECD member countries. A successful completion of the first phase (data collection and transmission to UNSD) of this initiative has already resulted in a reduction of the response burden for member countries and has led in 2006 to identical trade figures published by both the UN and the OECD (processed data). The OECD meeting of experts in international trade will continue to stimulate the exchange of views and research on methodological issues.

OECD continues to participate in and contribute to the Inter-Agency Merchandise Trade Task Force and manages, and moderates together with WTO, the EDG "Tradenet" on methodological and co-ordination issues affecting various national and international organisations.

Non-member countries involved in the activity:

Brazil, China, Chinese Taipei, Russian Federation, Slovenia.

Databases

International trade by Commodity Statistics
Monthly Statistics of International Trade

Main Developments for 2012

General aspects:

In 2012, data quality and timeliness of processed data should be further improved as it is planned to implement "data capture" checks in order to facilitate the upload of data into ITCS.

ITCS in OECD.Stat has continued stabilizing in 2011. For users efficiency results have been gained thanks to the better awareness of the possibility of a direct link to the trade data in the format of SQL tables. Also the architecture of ITCS with a direct link to OECD.stat has proven to function well with better performances and better timeliness.

In the context of the 2011-2012 bienium project of implementation of Unit value Indexes to the annual trade database, research will be continued on an outlier detection method that can fit with the data provided with the different members of the OECD

Data collection:

Concurrent use of the ITCS OECD-UNSD common data collection and processing system and the OECD trade ITCS in OECD.Stat. Full addition of ISIC classification.

International Trade in Services

Purpose

To provide detailed, relevant and internationally comparable data for trade policy and economic analysis. The information needs of international trade negotiations including the General Agreement on Trade in Services and the observed increase in internationalisation of services production are driving new developments.

Objectives and outputs

An annual joint effort publication with Eurostat and database: "OECD Statistics on International Trade in Services - Detailed tables by category of service". This covers the 34 member countries. Data are based on the concepts of the IMF's 5th Balance of Payments Manual (except for Australia that already moved to BPM6) and are broken down according to the detailed EBOPS Classification of Trade in Services with the exception of Australia which has started compiling information according to BPM6. The publication "OECD Statistics on International Trade in Services - Detailed Tables by Partner Country" provides bilateral service trade flows for 33 member countries, Hong Kong SAR and Russian Federation.

Coordinate the work of the Interagency Task Force on Statistics of International Trade in Services. Contribute to the Trade in services compilation Guide. Contribute to organisation of the WP on trade in goods and trade in services statistics.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

International trade in services by category of service (TIS)
OECD Statistics on International Trade in Services by Service Category and by Partner Country

Main Developments for 2012

General aspects:

The SDMX coding for BOP in BPM6 including the extended Balance of Payments in Services classification will be elaborated in coordination with OECD/DAF and other International Organisations.

Facilitate to the extent possible links between the classifications EBOPS and ISIC.

Continue Implementing EBOPS 2010 in Statworks and upload countries that have adopted the new standards.

Improve the timeliness, with rolling updates, and detail of published data. Monitor progress in the implementation of MSITS recommendations.

Contribute to OECD analytical work and in particular work closely with TAD and STI on data needs for the Services Trade Restrictiveness Index. Improve estimates of world trade flows of services.

Cooperate with Eurostat to collect and make available as far as possible partner country data on remittances.

Develop cooperation with UNSD and other agencies on data sharing in trade in services.

Initiate merge of the Trade in Services by category and by partner country in order to save resources to be allocated to the development of databases and metadata related to the new standards.

Cooperate with WTO to elaborate the annual World Matrix of bilateral services flows.

Data collection:

Pursue rolling update of trade in services by partner country data as data become available. Countries that are sent an excel questionnaire will be asked to fill it in. A second best would now be for them to provide us with their data in an SDMX format.

Joint OECD/UNSD Annual Trade System

Purpose

Maintain International Trade Database to manage Annual and Monthly statistics in collaboration with the United Nations Statistics Division.

Objectives and outputs

Technical maintenance and small enhancements to the system.

Main Developments for 2012

General aspects:

Technical maintenance and small enhancements.

Monthly International Trade

Purpose

To produce consistent and timely international trade data for OECD member countries, ensure methodological soundness and comparability of international trade data, conduct research to improve the quality of the concepts underlying international trade data and play an active role in the development of international standards.

Objectives and outputs

Collect data and maintain database for analytical use: monthly data of exports and imports at current prices by partner countries and main categories of commodities, and volume and average value indices for selected countries and main categories. Continuous and close co-operation with key users at OECD. Updating cycles optimised to respond to needs of Economic Outlook. Online availability of OECD's detailed international trade data. OECD continues to actively participate and contribute to the International Trade Task Force (Inter-Agency TF).

Non-member countries involved in the activity:

Slovenia

Databases

Monthly Statistics of International Trade (MSIT)

Main Developments for 2012

General aspects:

No major changes.

Services Trade Restrictiveness Index

Purpose

The STRI database will be a unique resource providing internationally comparable current information on regulatory policies affecting trade in services.

Objectives and outputs

The main achievements for 2011 are:

• Complete refinement of the entire regulatory database;
• Verification of 95% of the OECD member countries and complete verification of 50% of them;
• Extension to 6 new sectors;
• Countries and experts are now convinced of the utility of such a tool.

Non-member countries involved in the activity:

India, Slovenia.

Main Developments for 2012

General aspects:

The regulatory database for the pilot sectors should be finalised during the first half of 2012. A first version of the interface developed by the OECD for dissemination of qualitative information should The coverage of the new sectors has already started for 30% of the countries.

STAN Bilateral Trade Database by Industry and End-use (BTDIxE)

Purpose

The STAN Bilateral Trade Database by industry and end-use (BTDIxE) is a new tool for analysing global production networks. This database presents international trade in goods broken down both by industrial sectors and by end-use categories for the period 1995-2010, allowing, for example, insights into the patterns of trade in intermediate goods between countries to track global production networks and supply chains, and helping to address policy issues such as trade in value added and trade in tasks. In particular, it is designed for linking OECD Input-Output tables to allow development and user of inter-country I-O models.

BTDIxE is an extension of the "traditional" BTD - maintained since the mid-1990s and covering total trade by industry only. The BTDIxE industry list provides sufficient detail to enable users to highlight high-technology sectors and is compatible with those used in related OECD databases. The end-use category list includes the three broad SNA categories: capital goods, intermediate goods and household consumption.

Objectives and outputs

A first version of BTDIxE was released at the end of 2011 together with documentation in the form of STI Working Paper (DSTI/DOC(2011)6. Figures provided for all OECD countries and 30 non-OECD countries. Data to 2010 for 56 out of 64 countries.

To build the data set, 8 conversion keys were developed - from each version of HS (1988, 1996, 2002 and 2007) to both ISIC Rev.3 and End-uses (via BEC).

Non-member countries involved in the activity:

Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Croatia, Cyprus, Hong Kong, India, Indonesia, Latvia, Lithuania, Macedonia, Malaysia, Malta, Moldova, Other, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand.

Databases

STAN Bilateral Trade Database by Industry and End-use (BTDIxE)

Main Developments for 2012

General aspects:

• Complete update to 2010 for all countries;
• Include trade flows adjusted for Hong Kong re-exports;
• Undertake further country specific adjustments as required;
• Add countries / country groups according to demand;
• Embark on development of new trade indicators based on BTDIxE;
• Draft paper based on analytical use of BTDIxE;
• Develop and implement a concordance key for converting HS product data to ISIC Rev. 4.

Trade by enterprise characteristics

Purpose

To measure, on the one hand, the contribution of real economic sectors to international trade, and on the other hand, to complement business data with detailed information on trade, which is traditionally not part of business statistics.

Objectives and outputs

Under guidance of the Business Economic Statistics and Trade (BEST) Steering Group, a first OECD Linkage Table, which is based on Eurostat's Standardisation Document Rev. 2, was sent out to participating Non-EU-OECD member countries. Up to now, OECD has received data collection tables from Canada, Israel, Norway and the United States. In addition, Eurostat provided OECD with the respective (published) data tables of several EU member states for reference years 2005-7. After reclassification of the Eurostat data to OECD standards (ISIC and CPC classifications, USD currency and OECD geo-nomenclature), these were integrated to the Trade by enterprise characteristics (TEC) database of the OECD, available in the globalisation cube of OECD.Stat.

Databases

Trade by Enterprise Characteristics

Main Developments for 2012

General aspects:

In 2012, the data collection will include more recent reference years and more countries, by inviting a wider group of OECD member countries. A close cooperation with Eurostat will be maintained.

The Handbook on Trade Microdata is expected to be completed in 2012 and submited to the BEST Steering Group.


2.7 Prices (OECD)
Price Indicators

Purpose

To provide a set of relevant, reliable, timely, monthly and quarterly price indices (CPI and Producer Price Indices) for internal and external users. To provide methodological information on these price indices.

Objectives and outputs

• The 'Price Indices' dataset in the Main Economic Indicators (MEI) database contains statistics on Consumer prices, Producer prices and Construction costs for 34 OECD member, Russian Federation and 5 B(R)IICS countries. The data series presented within these subjects have been chosen as the most relevant prices statistics in the MEI database for which comparable data across countries is available. In all cases much effort has gone into ensuring international comparability and into the availability of historical time-series for analysis.
• Revision of the Methodological guide for developing producer price indices for services.

Databases

MEI
MEI_PRICE

Main Developments for 2012

General aspects:

• Finalisation of the Methodological guide for developing producer price indices for services with a view to finalising work in 2012.
• Continue to improve the dissemination of price indices.

Data management:

Harmonisation of metadata across countries and introduction of new inflation measures.

Purchasing Power Parities

Purpose

Produce reliable and timely Purchasing Power Parities (PPPs) data for OECD member countries. PPPs are an important tool to compare levels of real income or real output across countries with indicators such as GDP per capita and relative price levels between countries.

Objectives and outputs

• Organisation of the data collection for the 2011 round which started in 2009 and covers 47 countries (30 OECD countries and 17 non-member countries).
• Work closely with Eurostat to further harmonise the methodology employed. Participate in the ad-hoc task forces set up by Eurostat to discuss various issues associated with PPPs 9Revision of the (PPP manual).
• Provide technical input into the 2011 round of the ICP currently being organised by the World Bank.
• Work closely with ELS on devleoping a new methodology for health specific PPPs (publication of a WP on hospital price levels).

Databases

ANA
Purchasing Power Parities

Main Developments for 2012

General aspects:

Finalise the methodology to calculate specific PPPs for health for all countries participating in the Eurostat-OECD PP manual.

Provide technical input into the 2011 round of the ICP currently being organised by the World Bank.

Publication of the revised OECD Eurostat-OECD PPP manual.

Calculation of the preliminary results of the 2011 Round.


2.9 Science and technology (OECD)
Analytical Business Enterprise Research and Development

Purpose

To provide a consistent and comparable data set across countries and over time on industrial R&D expenditures broken down by industry.

Objectives and outputs

The ANBERD (Analytical Business Enterprise Research and Development) database is continually revised to enhance the international comparability of time series on business enterprise R&D expenditure (BERD) by industry.

Non-member countries involved in the activity:

China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Analytical Business Enterprise Research and Development (ANBERD)

Main Developments for 2012

General aspects:

In 2011 the country coverage was expanded and improved data processing and checking routines were implemented. In 2012, the estimation techniques for missing data will continue to be improved and preparations will be made for the forthcoming move to ISIC Rev.4.

Data management:

Adapt the data production system to move from ISIC Rev3. to Rev4.

Biotechnology

Purpose

To establish international standards for the collection of biotechnology data across OECD member countries.

Objectives and outputs

Under the auspices of the National Experts of Science and Technology Indicators (NESTI) group, six Ad hoc Biotechnology Statistics meetings have been held to date. These meetings have achieved: an internationally agreed upon definition of biotechnology, a model survey for the collection of biotechnology data in member countries, and an inventory of biotechnology data collected in member and selected non-member countries.

OECD Biotechnology Statistics was released in 2009.

Key Biotechnology Statistics is updated annually and published online.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa, Thailand.

Main Developments for 2012

General aspects:

Additional countries.

Careers of Doctorate Holders

Purpose

Collect data on the labour market outcome and mobility of doctorate holders.

Objectives and outputs

Collect data and update internal database, use data for analysis at the macro level, launch work using micro-data with interested countries, evaluate data collection and revise methodology accordingly.

Non-member countries involved in the activity:

Bulgaria, Chinese Taipei, Croatia, Latvia, Lithuania, Malta, Romania, Russian Federation.

Databases

Indicators on Careers of Doctorate Holders

Main Developments for 2012

Data management:

New dataset.

Main Science and Technology Indicators

Purpose

To publish biannually the most commonly used indicators on science and technology on an internationally comparable basis. The database and publication are regularly updated with 76 (paper publication) to 140 (electronic publication) data series presenting resources devoted to R&D and measures of output and the impact of S&T activities.

Objectives and outputs

This biannual publication provides a set of indicators that reflect the level and structure of the efforts undertaken by OECD member countries and 7 non-member economies in the field of science and technology. These data include final and provisional results as well as forecasts established by government authorities. The indicators cover the resources devoted to research and development, patent families, technology balance of payments and international trade in highly R&D intensive industries. Also presented are the underlying economic series used to calculate these indicators. Series are presented for a reference year and the last six years for which data are available (paper publication) and beginning 1981 (electronic editions).

Non-member countries involved in the activity:

Argentina, China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Main Science and Technology Indicators

Main Developments for 2012

Data management:

MSTI database production system: migration from StatWorks to SAS software (2010-Q4).

Patent Statistics

Purpose

To develop an international statistical infrastructure for patents (including databases and methodologies), which will provide the conditions for improving the quality and international comparability of patent indicators. Development of policy-relevant indicators from this work. Serves as a basis for policy relevant studies carried out within and outside OECD.

Objectives and outputs

The main objective is to develop patent databases suitable for calculating indicators for statistical and S&T/Entrepreneurship policy purposes, covering patent filings to national and regional patent offices across the world.

Currently, the following patent statistics are collected and processed on a regular basis: indicators based on EPO (European Patent Office) patent; indicators based on USPTO (US Patent and Trademark Office) patents; indicators based on patent applications filed under the PCT (Patent Co-operation Treaty) and "triadic" patent families indicators. EPO and PCT data are also broken at the lowest regional level (NUTS3/TL3) for all OECD countries and selected economies.

Patent statistics are published in various publications: Main Science and Technology Indicators; OECD Science, Technology and Industry Scoreboard; OECD Science, Technology and Industry Outlook and in the Statistical compendium of the Innovation Strategy

"Measuring innovation: a new perspective".

The focus of the methodological work is to provide guidelines for compiling patent statistics and indicators, and to provide users with methodological information in a transparent manner. The following issues have been investigated: criteria for counting patent data; triadic patent families' definition; patent data for specific technology area; patent data by industry, patents by region and patent citations. The OECD Patent Statistics Manual 2009 provides further guidelines for analysing and building patent statistics in the framework of S&T indicators.

A matching exercise is currently being performed at the micro-data level, linking the patent data to the firm level databases (e.g. ORBIS database of Bureau van Dijk) using the patent applicant name. A database on harmonised patent applicant's names (HAN) is available to researchers. It is currently being improved and expanded, and is used to build new indicators at the firm level.

Similar work is also conducted for other intellectual property assets such as Trademarks.

Regular conferences on IP-related statistics are jointly organised by OECD, EPO, USPTO, JPO, WIPO and Eurostat.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Europe, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.

Main Developments for 2012

General aspects:

Updating the existing patent database; extending the data coverage (i.e. to include information from more national patent offices); expand the exercise of harmonising patent applicant's names and matching with firm-level databases, development of further patent indicators (reflecting globalisation, specific technologies); development of citations indicators, development of further analytical applications of patent data, patents by industry.

Increased use by other directorates (e.g. ECO, ENV, GOV, STD) expected in 2012.

Further work to develop Trademark data are also expected.

Another matching exercise is experimented to link patent data (with the citations of non-patent literature) to scientific publication data (using Elsevier's SCOPUS database).

Research and Development (R&D) Statistics

Purpose

To provide internal and external users with statistics on R&D expenditures and personnel and to ensure, through appropriate methodological work, the international comparability of corresponding national statistics.

Objectives and outputs

Management and/or development of internationally comparable statistics on resources devoted to R&D in member countries and in seven non-member economies based on the OECD international methodology for R&D survey, the "Frascati Manual". Diffusion of S&T statistics and corresponding metadata via the annual "R&D Statistics" and the biannual "Main S&T Indicators" publications and the on-line "R&D Sources and Methods database". The country coverage of OECD S&T databases and publications is being expanded to include comparable S&T indicators and statistics for non-member economies such as Argentina, China, Romania, Russia, Singapore, South Africa and Chinese Taipei.

Non-member countries involved in the activity:

Argentina, China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Research and Development Statistics (RDS)

Main Developments for 2012

General aspects:

Plan to publish ISIC Rev. 4, depending on the availability of data at the national level.

Sources and Methods for Research and Development (R&D) Statistics

Purpose

To meet demand for country-specific and item-specific methodology, this database relates principally to R&D as reported by the units performing the R&D in line with the standard methodology for R&D statistics recommended by OECD in the Proposed Standard Practice for Surveys of Research and Experimental Development - Frascati Manual (OECD).

Objectives and outputs

The database provides detail on methods used in the member countries and seven non-member economies when compiling the R&D data reported to OECD in the framework of the International Survey of the Resources devoted to R&D by OECD countries, underlining both current and historical national specificities of the data stored in the OECD STI/EAS R&D database. The sources and methods are regularly updated as part of the International Survey of the Resources devoted to R&D by OECD countries. The Secretariat has made this database available on line either through the NESTI-NET: http://webdomino1.oecd.org/COMNET/STI/NESTI-NET.nsf/Welcome?openframeset, or via http://webnet.oecd.org/rd_gbaord_metadata/default.aspx where delegates and the public are able to consult.

Selected metadata are regularly published in "Research and Development Statistics" (annual electronic publication) as well as in "Main Science and Technology Indicators" (paper and electronic publication appearing twice yearly). This information was also used as input to the revision of the "Frascati Manual", the international standard methodology for the measurement of resources devoted to R&D.

Non-member countries involved in the activity:

Argentina, China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

R&D_SM database



4. Methodology of data collection, processing, dissemination and analysis (OECD)
2.1 Macroeconomic statistics (OECD)
STAN Database for Industrial Analysis

Purpose

To provide a comprehensive database tool for cross-country analyses of industrial performance (competitiveness, productivity etc.) and structural change at a relatively detailed level of activity.

Objectives and outputs

The STAN database for industrial analysis provides analysts and researchers with a comprehensive tool for analysing industrial performance at a relatively detailed level of activity across countries. It includes annual measures of output, labour input, investment and international trade which allow users to construct a wide range of indicators to focus on areas such as productivity growth, competitiveness and general structural change. The industry list provides sufficient detail to enable users to highlight high-technology sectors and is compatible with those used in related OECD databases.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

STAN Database for industrial Analysis

Main Developments for 2012

General aspects:

Development and production of a new version of STAN based on ISIC Rev. 4. with statistics to 2010. Inclusion of non-Member countries, where possible. Closer cooperation with EU KLEMS project in particular and World KLEMS project in general. Comprehensive STAN documentation in form of STI Working Paper.

Business Tendency and Consumer Opinion Surveys

Purpose

To collect and disseminate business tendency and consumer opinion survey data for OECD member countries and selected non-member economies. To promote wider use of business tendency and consumer opinion surveys in OECD member countries and selected non-member economies.

To develop international statistical standards and to encourage scientific research in this field of statistics.

Objectives and outputs

This activity involves the ongoing collection and publication of an extensive range of business tendency and consumer opinion survey data and related metadata from OECD member countries and the BRIICS.

The survey data are published in the OECD's monthly Main Economic Indicators (MEI). Data collection is co-ordinated with the European Commission, with the OECD taking primary responsibility for data collection from national sources only for non-EU OECD member countries and the BRIICS.

During the year 2010 the OECD evaluated the possibility to renew its existing international guidelines and recommendations. In co-operation with UNSD, the European Commission and CIRET it surveyed current availability of tendency sureveys internationally and the level of harmonization and adherence to existing guidelines. For 2011 the OECD will start the review of its Business Tendency Surveys handbook last revised in 2003.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

MEI_BTS_COS

Main Developments for 2012

General aspects:

A review of the code structure in the production database, and a consequent update of production flows.

Composite Leading Indicators

Purpose

To compile and disseminate the OECD composite leading indicators for OECD member countries and for the BRICS NMEs + Indonesia, which help analysts to assess the cyclical phase of the OECD economies and forecast its future development.

To do methodological development work and carry out scientific research in this field.

Objectives and outputs

OECD Composite Leading Indicators (CLI) are published in the monthly Main Economic Indicators publication and in a monthly press release.

The quality of existing CLIs is monitored and enhanced on an on-going basis, including the expansion of country coverage for both OECD member and non-member countries, and the development of new tools in the research software for cyclical analysis and composite indicators.

Main achievements in 2010 were the finalization of a distributable package of the production system (CACISd), setting up the dissemnination website in Clearspace, with the goal of reinforcing transparency.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

MEI_CLI

Main Developments for 2012

General aspects:

Update CLIs for selected OECD member countries.

A pilot project testing the multivariate direct filter approach for CLI caluclation in co-operation with prof. Marc Wildi.

Changing the reference series at the core of the CLI from IIP to GDP.

Data collection:

Inclusion of additional series required for the compilation of CLIs for Brazil, China, India, Russian Federation and South Africa and for OECD member as a result of on-going review of CLI component series for each country.

Data management:

Incorporation of more detailed metadata on CLI compilation methodology in MetaStore.

Main Economic Indicators

Purpose

The OECD's Main Economic Indicator (MEI) database provides a wide range of short-term economic indicators (and associated methodological information) for OECD member and non-countries to meet the on-going requirements of a number of internal OECD users.

Objectives and outputs

Maintaining the Main Economic Indicators (MEI) database, which contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member and for all Enhanced Engagement economies on a wide variety of economic indicators for use by economic analysts, policy makers and business.

Indicators in the MEI database include: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.

There is an on-going process of review to revise the contents of the database in order to maximise the relevance of the database for short-term economic analysis, for example, through the inclusion of new indicators reflecting new areas of analysis and policy making. Enlarging coverage also entails working with other international organisations such as IMF, ILO, ECB and Eurostat in the development of effective international standards for the presentation of statistical methodological information (metadata), and increasing the coverage and quality of statistical metadata, whilst at the same time minimising the reporting burden of member countries.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

Main Economic Indicators (MEI)

Main Developments for 2012

General aspects:

The ongoing implementation of a MEI Review undertaken in 2010 at the request of the Director.

Data collection:

On-going processes to improve the efficiency and timeliness of data capture processes.

There will also be expanded use of data from Eurostats NewCronos database and the IMF's IFS. Greater efforts will also be made to implement data and metadata exchange standards developed under the SDMX initiative.

Real-time and Revisions Database

Purpose

To make freely available on the OECD website a "real-time" database with associated revisions analysis of key short-term economic statistics derived from historically published monthly snapshots of the OECD Main Economic Indicators database.

Objectives and outputs

The concept of a real time database is to provide an information set of short-term economic statistics that would have been available to analysts at a specific point in time for the purpose of testing the likely effectiveness of econometric models in real-time. It also provides the opportunity to perform revisions analysis - i.e. to study the magnitude and direction of subsequent revisions to published statistics. A database containing MEI vintage from 1999 was developed and published on the OECD website in 2006.

The portal also provides a broader context on the issue of revisions. This primarily take the form of the revisions framework (outlining the reasons for data revision) formulated by the IMF and of the recommendations published in the OECD "Data and Metadata Reporting and Presentation Handbook".

Updated revisions analysis of GDP and a comparision of revisions between seasonally adjusted and raw series were performed in 2007 and presented at the STESWP and National Accounts working parties, and also at a number of international conferences where the database was also promoted.

Main Developments for 2012

General aspects:

No major changes.

Short-Term Financial and Real Indicators

Purpose

To capture in quantitative terms an important but heterogeneous and fast evolving area in globalisation of the financial markets and increased sophistication of the actors and activities in these markets.

To provide short-term economic indicators of production, sales, orders, work started and in progress and stocks for OECD member countries and selected large emerging non-member economies.

Objectives and outputs

The Financial Indicators dataset contains financial statistics on six separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, Reserve Assets, International Trade, and Share Prices. In all cases considerable effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series' data to aid with analysis.

All the subjects under Real Indicators are classified under the following six top headings: Production, Sales, Orders, Work started, Work in progress, Stocks. Within each heading, indicators are further classified according to economic activities.

Non-member countries involved in the activity:

Brazil, China, Indonesia, Russian Federation, South Africa.

Databases

MEI_FIN


2.2 Economic accounts (OECD)
Institutional Investors' assets

Purpose

This data collection integrated in the framework of the SNA covers detailed assets (including a breakdown of resident/non resident data) for a number of institutional investors (more detailed than in the SNA93). Its aim is to have more detailed information on the activities of the institutional investors (not covered by the SNA) in OECD Member countries.

An additional questionnaire is sent yearly to OECD countries in parallel with the OECD/Eurostat joint questionnaire on Financial Accounts.

Objectives and outputs

The database has been updated up to 2010, for all OECD countries and Russia.

Improvements in the coverage of the database have been achieved.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Institutional Investors' assets

Main Developments for 2012

General aspects:

Update and continuous improvement of the coverage, including an extension to non-member countries (EE5 and other G20).

Depending on resources allocated to the unit, quarterly data will be processed when available and used to calculate indicators.

Data collection:

Improvement of the coverage of the database.
Depending on available resources, quarterly data will be processed.

Data management:

The methodological information currently available in WORD documents might be stored in Metastore using links to these documents, when resources permit.

Human Capital Accounts

Purpose

To develop an agreed methodology for producing monetary estimates of Human Capital for the purposes of international and inter-temporal comparisons.

Objectives and outputs

A working paper that summarises the outcomes of the first phase of the project was released in October 2011 (OECD STATISTICS WORKING PAPER SERIES No. 41).

Non-member countries involved in the activity:

Romania, Russian Federation.

Main Developments for 2012

General aspects:

1. Preparing an in-depth review of country practices in human capital measurement. This review is undertaken under the auspices of the UNECE Conference of European Statisticians (CES) and is being chaired by Geoff Bascand, Statistics New Zealand; as part of this review, we plan to circulate a 'country questionnaire' to document country practices and initiatives.

2. Documenting the OECD methodology and data sources in a technical report.

3. Drafting a working paper based on joint work with the World Bank on national wealth accounting by using direct estimates of human cpaital generated from the OECD project.

4. If available, extending the methodology to additional countries and years.

Annual Financial Accounts

Purpose

To provide unique data sets of harmonised data on annual financial accounts and annual financial balance sheets of OECD countries, according to SNA 1993, to analysts and policy makers.

Objectives and outputs

This activity mainly focuses on the collection of comparable quantitative and qualitative information on annual financial transactions carried out and on annual financial stocks held by institutional sectors of the economy in the OECD member countries.

The main objectives are to improve the quantity and the quality of information on OECD financial accounts (transmission of timely, reliable and consistent data) and to disseminate comparable tables on financial accounts (transactions) and financial balance sheets (stocks).

Russia and EE5 countries' data will be included in the databases when available.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Annual Financial Accounts (ANA)

Main Developments for 2012

General aspects:

The database on annual Financial Accounts and Financial Balance Sheets will continue to be improved. All OECD countries are now covered. For some countries however, the sectoral coverage has still to be extended while for some countries, additional datasets (flows or stocks, consolidated or non-consolidated) will continue to be required.

Data for Russia, for the EE5 countries, and for additional G20 countries (Argentina and Saudi Arabia) will be included when available.

Detailed methodological information relating to Financial accounts and Financial balance sheets should be updated and included in Metastore.

Data collection:

Historical data will be added to the database as soon as countries send them. Data which are still missing for some Member countries will continue to be requested and included in the databases.

Data for Russia will be integrated (if provided) in the OECD databases; depending on resources, data for some non-Member countries (EE5 and G20) will be asked and processed according to their availablity.

Moreover, following conclusions of the 2009 and 2010 WPFS meetings, financial indicators based on financial accounts and balance sheets, and on the two other SNA-related database (on Households and Institutional investors) will be calculted and disseminated.

Data management:

Financial indicators based on these datasets are calculated and are the object of another activity: OECD Financial Indicators.

A new database system now hosts quarterly data: see the new activity Quarterly Sector Accounts (Financial part).

Annual National Accounts

Purpose

To provide, on an internationally comparable basis, a timely update of annual national accounts data to internal and external users for analytical purposes.

To provide a forum of international exchange on national accounts standards, in order to improve the relevance of SNA 93 and enhance international comparability.

Objectives and outputs

The annual national accounts database (SNA) presents a consistent set of data mainly compiled on the basis of the 1993 System of National Accounts. It contains data from 1970 whenever possible for OECD member countries.

Main series of the SNA database are presented using an "indicator" approcah in the publication National accounts at a Glance, focusing on cross-country comparisons. In this publication each indicator is associated to a text which explains in general terms of what is measured and why.

Non-member countries involved in the activity:

China, India, Indonesia, Russian Federation, South Africa.

Databases

Annual National Accounts (ANA)

Main Developments for 2012

General aspects:

Extend the collection of data from EE countries to Brazil.

Economics Department Analytical Data Base (ADB)

Purpose

Management, co-ordination and provision of statistical data sets in support of Economics Department work described under Theme 1 (Economic Growth, Stability and Structural Adjustment). Primarily as input to the Economic Outlook assessment process, ensure timely and consistent updating of the body of largely macroeconomic statistics and calculation of subsidiary concepts necessary for corresponding analytical activities. Checking methodological soundness and consistency of data definitions against the analytical needs of the Department and in particular Country Desks. Development and maintenance of related programmes, definitions and procedures and associated metadata systems in support of analytical users.

Objectives and outputs

Maintains relevant Analytical Data Bank in support of relevant needs of ECO's macro analytical work, notably with respect to the data needs of the OECD Economic Outlook. In conjunction with STD and other statistical groups, co-ordinates, manages and extracts the relevant annual and quarterly data sets from available sources within the OECD (mostly STD), National Administrations and related publications. The primary database covers a range of statistical concepts relevant, in particular, to the assessment of the world's economic situation and developments in member country economies. These include a wide range of national accounts, wage, price and labour force, fiscal and financial accounts, exchange rates, international trade and balance of payments concepts reported on a variety of frequencies. Basic definitions and requirements are those of the economists in the Policy and Country Studies branches. The relevant statistics are used routinely in the analysis incorporated in documents for the Economic Policy and Economic Development Review Committees and are reported as supporting material in the corresponding OECD publications - the twice yearly OECD Economic Outlook and the OECD Country Survey series. The Economic Outlook data set is also disseminated as an OECD data product.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Economics Department Analytical Database

Main Developments for 2012

General aspects:

Main changes in content relate to the progressive inclusion of relevant statistics for the Accession and Enhanced Engagement countries over the coming year. New indicarors to help monitoring analysis will be introduced. Main technical changes in the past and coming year relate to the continuing migration to the ADB to ECO's time series data management system, incorporating direct links to in-house source data bases and the MetaStore system, the integration of Economic Outlook publications data base within the OECD.Stat system and the incorporation of relevant production metadata within MetaStore for internal and external use.

Data management:

Development of metadata link based HELP system within data management system, revisions to control and access rights for users outside of ECO.

General Government National Accounts

Purpose

To provide, on an internationally comparable basis, a timely update of annual national accounts data for the sector of general government and sub-sectors to internal and external users. This covers detailed revenues and detailed expenditures by function of general government and subsectors.

Objectives and outputs

The project on general government national accounts began in September 2003. There are three objectives of the project: (1) improve the transmission to and dissemination by the OECD of timely and detailed data on general government; (2) enhance the comparability of the major aggregate results for general government such as general government deficit/surplus and/or general government debt.

Data are made available to member country government agencies on OLISnet thanks to OECD.Stat and to the public through dissemination in OECD.Stat and tables freely available on Internet.

Non-member countries involved in the activity:

Russian Federation, Slovenia.

Databases

ANA - SNA
Annual National Accounts (ANA)

Main Developments for 2012

General aspects:

Extention the collection of data for EE countries, in particular for Brazil, India.

Household Assets and Liabilities

Purpose

This data collection aims at better knowing the households' behavior vis-à-vis risks and enables studies on the distribution of households' wealth. It refers to the SNA sector S14 - Households.

An additional questionnaire is sent yearly to OECD countries in parallel with the OECD/Eurostat joint questionnaire on Financial Accounts.

Objectives and outputs

The database has been updated up to 2010 for all OECD countries.

A better coverage of financial and non-financial assets and on detailed liabilities currently transmitted by OECD countries has been achieved.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Household Assets and Liabilities

Main Developments for 2012

General aspects:

It is expected to further improve the coverage (assets and liabilities) of the database and to extend the geographical coverage to non-member countries (Russia, EE5 and G20).

When resources permit, quarterly data will be processed and used to calculate financial indicators.

Data collection:

Improvement of the coverage of the database.
Depending on resources allocated to the unit, quarterly data will be processed.

Data management:

The methodological information currently available in WORD documents might be stored in Metastore using links to these documents, when resources permit.

National Accounts for Non-member Economies

Purpose

To cooperate with non-member countries not included in the Quarterly National Accounts database and incorporate these countries into the standard OECD MEI data collection and dissemination program.

Objectives and outputs

Provide users with non-member national accounts data.

Non-member countries involved in the activity:

China, India.

Databases

National accounts and prices for non-member countries

Main Developments for 2012

General aspects:

To remove these countries once they are incorporated into the QNA database. Only Two countries remain: China and India. This activity will finish in 2012.

OECD Financial Dashboard

Purpose

The recent financial and economic crises have underlined the importance of monitoring financial activity and position of the various institutional sectors of national economies.

The OECD Financial Dashboard has been created to respond to users' questions and needs for relevant indicators based on timely, frequent and comparable financial statistics.

Objectives and outputs

The financial indicators are constructed from financial accounts and from financial balance sheets to analyse the behaviour and performance of the various institutional sectors and to carry out cross-country comparisons.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

OECD Financial Dashboard

Main Developments for 2012

General aspects:

New activity.

Data collection:

New activity.

Data management:

New activity.

Productivity/Capital Services

Purpose

Four OECD Directorates have co-operated to produce a data set for productivity measures, a widely-used indicator of economic performance. The purpose of this activity is to bring together, in one place, the results of this work and make available various productivity measures as well as relevant methodological information such as the OECD Manual on Measuring Capital. The series on capital services, multi-factor productivity (MFP) and GDP per hour worked are a standard input into the Economic Department's estimate of potential output. In 2011, the OECD Productivity database by industry has been released and provides regularly updated productivity estimates by industry.

Objectives and outputs

Labour productivity indices for 30 countries and a set of capital services and multi-factor productivity measures for 20 countries are regularly updated and are available on OECD.Stat. Recent methodological developments concerned both the development and the release of multi-factor productivity estimates by industry in the OECD STAN STructural ANalysis Database and research on total economy productivity measures. A major achievement in 2011 was the publication of the OECD Productivity database by Industry (PDBi). PDBi data are updated on a regular basis and allow international comparisons in industry-level MFP measures and are fully compatible with data compiled in the STAN database.

Databases

Productivity by industry
Productivity/capital services database

Main Developments for 2012

General aspects:

In 2012, the productivity database at the whole economy level and the productivity database by industry will continue to be updated regularly with the aim to increase the number of available countries. Methodological developments will concern productivity indicators at the total economy level and productivity estimates by industry.

The Productivity database by industry will move to ISIC Rev.4.

Data management:

Productivity by Industry data where published for the first time in 2011. The move to the International Standard Industrial Classification of All Economic Activities, ISIC Rev.4 is planned for 2012, according to the release of an ISIC Rev.4 version of the OECD STAN database.

Quarterly National Accounts

Purpose

1. To provide a real time update of member and non-member countries' sets of quarterly national accounts to internal users, mainly the OECD Economics Department. Quarterly national accounts constitute a significant input into the OECD's macro-economic modelling and forecasting work.

2. To provide external users a selection of key long time series from countries' quarterly national accounts, some area totals and a consistent and internationally comparable set of data for analytical purposes.

Objectives and outputs

The OECD Quarterly National Accounts (QNA) database presents data collected from countries on the basis of a standardised OECD/Eurostat questionnaire based on SNA 1993/ESA 1995. It contains, as from 1960 whenever possible (and even before for a few countries), a wide selection of the accounts produced by the 34 member countries covering accounts at the level of the overall economy and some institutional sectors accounts.

Work is concentrated on producing relevant, reliable, consistent, comparable and timely quarterly national accounts for member countries and a few non-member economies.

The QNA publications contain a selection of the accounts most widely used for economic analysis: GDP - expenditure and output approaches (current prices and volume estimates), GDP income approach (current prices), Saving and net lending (current prices), Gross fixed capital formation (current prices and volume estimates) broken down separately by type of asset and by institutional sector, Disposable income and Real disposable income components, Population and Employment, Compensation of employees by industry, Employment by industry, Household final consumption expenditure (current prices and volume estimates) by durability and by purpose.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa.

Databases

Quarterly National Accounts (QNA)

Main Developments for 2012

General aspects:

Continue to extend the coverage of the database by the inclusion of new accounts/series provided by countries.

Expand the geographical coverage of the QNA database by including more updated data from Enhanced Engagement (EE) countries,

and possibly remaining G20 countries (Argentina and Saudi Arabia).

Data collection:

Extension of the statistical content (new accounts, new sets of chained volume estimates, new seasonally adjusted series) and the time coverage (historical series) to take account of the development of QNA made in countries.

Extension of the country coverage (EE countries and remaining G20 countries).

Encourage non-EU countries to provide QNA data in SDMX format.

Source EU data directly from Eurostat validated data.

 

Quarterly Public Sector Debt

Purpose

This new database has been launched in the framework of a coordinated activity with the World Bank and the IMF to respond to the G20 Data Gap Initiative (Recommendation 18).

Objectives and outputs

Collect detailed and comparable quarterly data on the General Government Debt, the Central Government Debt and more broadly the Public Sector Debt.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Quarterly Public Sector Debt (7PSD)

Main Developments for 2012

General aspects:

New activity.

Data collection:

New activity.

Data management:

Creation of this dataset and updates.

Quarterly Sector Accounts (Financial part)

Purpose

To provide financial quarterly sector accounts data of member and non-member G20 countries for internal and external users.

The G20 Recommendation 15 has identified Sector accounts (annual and quarterly) as essential statistics to monitor economies.

The OECD is responsible for collecting and disseminating detailed quarterly sectoral accounts for OECD member countries and other non-member G20 countries.

Objectives and outputs

Quarterly financial accounts and quarterly financial balance sheets have been collected in 2011 for the first time and stored in the new QASA browser during the 4th quarter of 2011.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Quarterly Financial Accounts and Financial Balance Sheets

Main Developments for 2012

General aspects:

New activity in 2012.

Data collection:

New activity.

Data management:

New activity.

Quarterly Sector Accounts (Non-Financial)

Purpose

To provide non-financial quarterly sector accounts data of member and non-member G20 countries for internal and external users.

The G20 Recommendation 15 required identified Sector accounts (annual and quarterly) as essential statistics to monitor economies.

The OECD is responsible for collecting and disseminating of detailed quarterly sectoral accounts for OECD member countries and other non-member G20 countries.

Objectives and outputs

Continue to collect non-financial Quarterly Sector Accounts (QSA) data for EU countries in close collaboration with Eurostat; Collect non-EU QSA data through questionnaires. Release QSA data on OECD.stat for the countries that give permission to publish the data.

Non-member countries involved in the activity:

Argentina, Brazil, China, India, Indonesia, Russian Federation, Saudi Arabia, South Africa.

Databases

Non-financial Quarterly Sector Accounts

Main Developments for 2012

General aspects:

Collecting QSA data for EU countries that have not given permissions to the Eurostat for transmitting such data to the OECD, such as France and Germany.

Collecting data from non-EU countries that has not transmitted data to the OECD.

Releasing publishable QSA data on OECD.Stat.

Contribute to the IMF for releasing G20 QSA data on PGI-website.

STAN Input-Output database

Purpose

To provide a comprehensive database for cross country analyses of industrial structures, the interrelationships between consumers and producers, and the interactions between countries (e.g. as regards outsourcing and trade flows).

Objectives and outputs

The current OECD input-output database is based on detailed national accounts estimates of economic activity and interrelationships within economies. The database is based on an ISIC Rev.3 and is consistent with the latest system of national accounts (SNA93). Data for 33 OECD countries and 11 non-member countries are currently available, with latest data for many countries referring to 2005 with tables also available for most ountries for 2000 or nearest year and for the mid-1990s.

Non-member countries involved in the activity:
Argentina, Brazil, China, Chinese Taipei, Cyprus, India, Indonesia, Latvia, Lithuania, Malaysia, Malta, Other, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand.

Databases

STAN Input-Output database

Main Developments for 2012

General aspects:

Expand the country coverage (e.g. non-OECD EU countries).

Measuring disparities in a National Accounts framework

Purpose

The aim of the Expert Group on Disparities in a National Accounts framework (EG DNA) is to consider how existing micro data could be used to produce estimates of disparities between groups of households in the framework of National Accounts.

Objectives and outputs

The Expert Group has begun its work in early 2011. Final results are expected by end 2012.

The main focus of the expert group in 2011 has been on assessing the availability of micro and macro information on household income, consumption and wealth, and on analysing similarities and divergences between the two types of sources (step 1).

From January 2012 Expert Group members will aim at generating results based on a simplified methodology matching the two types of sources, and having information on disparities indicators on household income, consumption and saving rates by group of household consistent with National Accounts averages and comparable across countries (step 2).

The Expert Group held two meetings in 2011. A third meeting is planned for August 2012. The final report is expected to be circulated to CSTAT by the end of 2012.

Non-member countries involved in the activity:

India

Main Developments for 2012

General aspects:

The final report of the Expert Group is expected to be circulated to CSTAT by the end of 2012.


2.3 Business statistics (OECD)
Business Statistics and Entrepreneurship

Purpose

i) To provide official annual data for detailed industrial and service sectors (at the 4 digit ISIC level), consistent and relevant for international comparison in order to meet policy makers' and analysts' needs for structural business statistics for detailed economic sectors. Three databases are currently maintained.

ii) To develop a program of internationally-comparable indicators of entrepreneurship, its determinants and its impacts, to inform policy-analysis and policy-making. This activity is called Entrepreneurship Indicators Program (EIP).

Objectives and outputs

i) The databases on structural business statistics (SSIS) and (BSC), updated through a joint questionnaire with UNIDO, contain annual data on core economic variables, relating to both industry and services, at a very detailed level of ISIC revision 3 (up to the 4th digit level). They cover such variables as production, value added, investment, number of enterprises, employment, wages and salaries, and hours worked. Statistics are derived mainly from structural business surveys, censuses and administrative sources.

The BSC database contains this information broken down by enterprise size class.

ii) In the framework of the Entrepreneurship Indicators Programme, Business Demography Indicators are collected formally and include indicators of birth, death and survival rates and numbers of high growth firms - all based on common concepts developped in the Eurostat-OECD Manual on Business Demography Statistics published in 2007.

The main achievement of this activity include the publication Structural and Demographic Business Statistics (March 2010) and the Statistics Brief No. 15 on Measuring Entrepreneurship (November 2010).

The Entrepreneurship Indicators Programme Steering Group held its sixth meeting in December 2010. This was followed by a Workshop jointly organised by the OECD and Eurostat. The Workshop focused on two categories of entrepreneurship determinants: culture and capabilities.

In addition to the Steering Group, the Secretariat has developed an EIP Network so that additional countries and organisations may remain abreast of the Entrepreneurship Indicators Programme work and participate on an ad hoc basis.

The EIP was presented in several official internal meetings and in Workshops and Conferences held outside the Organisation.

Non-member countries involved in the activity:

Brazil, Bulgaria, Latvia, Lithuania, Romania, Slovenia.

Databases

SDBS - Business Demography Indicators
SDBS - Structural Business Statistics

Main Developments for 2012

General aspects:

Expected improvements to SDBS statistics in 2012 include:

• The extension of the country coverage in the collection of comparable business demography statistics;
• The development of indicators by gender;
• The publication of the second issue of Entrepreneurship at a Glance in May 2012.

Data collection:

Extension of the country coverage in the collection of entrepreneurship statistics is expected. It is also expected that other entrepreneurship indicators will be identified and added.

Foreign Affiliates in Services

Purpose

To give detailed data on the role played by multinationals in the services sectors of the OECD countries, which concerns inward and outward foreign direct investment.

Objectives and outputs

The database on Foreign Affiliates Trade in Services covers the following variables: number of enterprises, turnover, value added, employment, personnel costs, investments, exports and imports, R&D expenditure and R&D personnel, for inward and outward activities of multinational firms. Data on the activity of parent companies are also requested.

Databases

Foreign Affiliates Trade in Services Database (FATS)

Main Developments for 2012

General aspects:

This database is going to be merged with the AFA database in a new AMNE database.

The 2010 questionnaire already includes these changes.

The cooperation with EUROSTAT should also become more important in 2011 going towards same definitions and questionnaires, except for the survey on parent companies.

Micro-data on enterprises

Purpose

To develop a large scale database of firm-level information, comparable across countries and industries. The database will contain a broad range of firm-level data, including employment, sales, labor costs, assets, etc., as well as information on the capital structure of firms.

This micro-database aims to complement existing OECD databases on industry and services (SBS, STAN, etc.).

Objectives and outputs

The micro-database is built on the ORBIS database of Bureau Van Dijk covering around 65 million companies across different industries and countries over several years. This database collects information on a broad range of financial and industrial information at the firm-level.

Given that the structure of the original database is not meant to serve research purposes, data is being extracted in a format suitable for analytical work. In addition, a thorough process of data cleaning and double checking is being undertaken to guarantee/increase the quality of the data.

In order to assess the coverage of the original database across industries and countries, existing databases will be used to assess the representativeness of the data.

The database is designed to support the analytical activities of different OECD directorates.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Europe, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela.

Databases

ORBIS

Main Developments for 2012

General aspects:

• Update the OECD Orbis database with a new architecture of the database, covering additional company and financial information, and as well ownership data with high quality;
• Develop more concrete definition of high growth firm and some possible work on Zephyr and micro enterprises;
• Investigate comparability or representativeness of ORBIS data with official micro-data available;
• Further identification of multinationals and business groups;
• Intra-firm trade estimates.

Data collection:

More comparable information is expected on business demography and Entrepreneurship statistics, especially on the basis of the new Eurostat-OECD manual on Business Demography Statistics.

Production and Sales Indicators

Purpose
To provide short-term economic indicators of production, sales, orders, work started and in progress and stocks for OECD member countries and selected large emerging non-member economies.

Objectives and outputs

All the subjects under the Production and sales are classified under the following six top headings: Production, Sales, Orders, Work started, Work in progress, Stocks. Within each heading, indicators are further classified according to economic activities.

A review of core indicators took place in 2010, with an aim of streamlineing the area, and prepare for a less co-ordinated operation between subjects within the MEI database and publications.

Non-member countries involved in the activity:

Brazil, China, Indonesia, Russian Federation, South Africa.

Databases

MEI_REAL

Main Developments for 2012

General aspects:

A review to streamline this area is planned.


2.4 Sectoral statistics (OECD)
4.3 Data sources (OECD)
2.4.1 Agriculture, forestry, fisheries (OECD)
Indonesia: Review of Agricultural Policies

Purpose

Calculate producer supporte estimates for Indonesia. Integrate Indonesia in OECD agricultural databases.

Objectives and outputs

Publication of PSE results for Indonesia. Integration of Indonesia into a regular Monitoring and Evaluation process of agricultural policies.

Non-member countries involved in the activity:

Indonesia

Databases

PSE database for Indonesia

OECD-FAO Agricultural Outlook 2012-2021

Purpose

To provide an annual update of statistical information and projections by country for OECD members, the OECD area, selected non-member countries, other developing and least developed countries and regional and world aggregates, of supply and use balances for cereals, oilseeds, biofuels, sugar, meats, dairy and fish products up to 2021.

Objectives and outputs

To maintain a database with detailed supply and use information for most temperate zone agricultural commodities. The tables provide detailed information for production, consumption, trade, stocks and prices in OECD countries and a large number of other countries including China, Argentina, Brazil, India, South Africa, Russia and other CIS independent states and many smaller countries and regions in Africa, Asia and Latin America. Most series cover the period from 1970 to the most current year and include updated annual projections for up to ten years in the future.

Non-member countries involved in the activity:

South Africa.

Databases

The Agricultural Commodities Database

Main Developments for 2012

General aspects:

Pilot with Prognoz.

Producer and Consumer Support Estimates in OECD Countries and selected economies

Purpose

To collect, process, evaluate and publish data on support to agriculture in OECD countries. The activity also provides staff with a database for various research and analysis activities of the Directorate. This is a joint activity between the "Agricultural Policies and Environment", the "Development" and the "Policies and Trade in Agriculture" Divisions of the Trade and Agriculture Directorate.

Objectives and outputs

To update the Producer and Consumer Support Estimate annual database and to calculate the various indicators of support to agriculture. The data are used to evaluate agricultural and other policies in OECD countries, mainly in the annual Agricultural Policies in OECD Countries Report, which is reviewed and approved by the Working Party on Agricultural Policies and Markets.

The data collected and the method used to calculate the indicators of support are reviewed both internally, and externally by the Working Party on Agricultural Policies and Markets, on an annual basis. These review processes improve the data quality as well as the methodology used in the calculations.

In this context, a new classification of the component parts of the support estimates was implemented from the 2007 Agricultural Policies in OECD countries Monitoring and Evaluation report. The database was extended to cover the new member countries in 2009 and 2010. A user friendly tool is being developed on the website for greater availability of the quantitative and analytical information to the public.

Non-member countries involved in the activity:

Brazil, China, Cyprus, Latvia, Lithuania, Malta, Russian Federation, South Africa.

Main Developments for 2012

General aspects:

The 2012 report covers the OECD countries.

The major innovation will consist in an in-depth chapter on innovation as well as the pursued developments to design the web site for improved dissemination of statistical information.

Review of Fisheries in OECD Countries - 2012

Purpose

To collect and present data for the publication Review of Fisheries. To provide staff, and other potential users, with a database for research and analysis purposes. The latter applies to the Policy Reviews as well as other activities of the Division. To provide other Directorates with data on fisheries resources.

Objectives and outputs

The principal purpose is to collect and make available data on a consistent basis among member countries (and observers) of statistics relevant to fisheries i.e. landings (harvest) and processing, fleet, fishers, employment, trade (via the ITS database), aquaculture and government financial transfers. The data are used nationally, principally for reporting purposes and internationally (e.g. OECD), for analytical purposes. Data also serve as reference for other international organisations and as a means for cross-checking and reconciling information from national sources.

Questionnaires and tables are sent (annually) to national correspondents following discussion and approval by the Committee for Fisheries. Data are collected and disseminated in the Review of Fisheries Statistics. Data published are also accessible via the public fisheries web site and more recent series through the Committee Web Site. At the international level co-ordination takes place among agencies involved in fisheries statistical programmes through the Co-ordinated Working Party (CWP) on Fisheries Statistics. The OECD is in close co-operation with the FAO and EUROSTAT in the collection of fisheries data. This is done, inter alia, with a view to avoid overlapping activities.

The data collected (and the procedures) are reviewed by the Committee for Fisheries on an annual basis. Internationally, improvements are carried out through the CWP.

Non-member countries involved in the activity:

Argentina, Chinese Taipei, Russian Federation, Thailand.

Databases

Review of Fisheries in OECD Countries

Main Developments for 2012

General aspects:

Continued improvements in metadata and comparison possibilities across member countries. The Government Financial Transfer (GFT) data are now included in the database. Data are now available to the public via the fisheries web site. Chinese Taipei and Thailand have been included since 2006. A major overhaul of the database took place in 2005.
2.4.3 Mining, manufacturing, construction (OECD)
Steel

Purpose

To provide the statistical background needed for policy discussions in the Steel Committee. Statistics are also produced for publications on steelmaking capacity in non-OECD economies.

Objectives and outputs

To provide participants of the Steel Committee with a broad range of information on the world steel industry and related raw material markets in order to enhance transparency and facilitate discussion by member and non-member economies on challenging policy issues facing the industry. More specifically, the statistical work includes gathering data on steel supply (capacity, production), demand, prices, trade, employment, and trade policy measures, in addition to market data on raw materials used in steelmaking (iron ore, coal, coke, ferrous scrap, and ferroalloys).

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Dominican Republic, Ecuador, Egypt, El Salvador, Europe, Georgia, Guatemala, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.2.4.4 Transport (OECD)
Annual Transport Statistics

Purpose

To provide annual transport information presenting disagregated statistical data in the transport sector.

Objectives and outputs

Data are collected in a harmonised way to facilitate comparisons between modes of transport and between countries by means of the Common Questionnaire developped jointly between three international organisations: Eurostat, ITF and UNECE.

Data cover topics such as infrastructure, rolling stock, human resources, investment, transport, traffic and energy consumption for different inland transport modes.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Slovenia, Tajikistan, Turkmenistan, Ukraine, Uzbekistan.

Databases

Transport Statistics - Common Questionnaire

Main Developments for 2012

General aspects:

ITF is developping a corporate database to integrate the information collected by means of the Common Questionnaire. The coporate database is planned to be ready towards the end of 2012.

Data collection:

Upgraded version of the WEB questionnaire.

International Database of Taxes and Changes for Road Freight Transport

Purpose

To provide indicators for efficiency and impact on competition of taxes and charges for transport in order to allow international comparisons.

Objectives and outputs

The final report provides a framework for international comparisons and discusses the economic principles for efficient systems of taxation. It provides a basis for addressing the questions "what is the right level for transport taxes" and "what kinds of charges should be used".

Main Developments for 2012

General aspects:

No major changes.

Investment in Transport Infrastructure

Purpose

To provide an annual update of statistical information on transport infrastructure investment, for all ITF countries, on total gross investment and maintenance expenditure.

Objectives and outputs

After processing the data, quality checks were carried out to select reliable time series to be made available on the web site along with a short analysis of trends.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Georgia, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Slovenia, Ukraine.

Databases

Investment in Transport Infrastructure

Main Developments for 2012

General aspects:

Data quality was improved by using more appropriated deflators when available.

Quarterly Transport Statistics

Purpose

To provide harmonised information on selected basic quarterly indicators in order to compare the latest inland transport trends between countries.

Objectives and outputs

To publish results every three months on the ITF web site, on a country by country basis with 4-5 months lag maximum (data for the first quarter is collected in June and published in July). Available series cover good transport in T-km, passenger transport in P-Km, road traffic in V-Km, brand new vehicles registration, car fuel consumption, road fatalities, imports and exports at current prices and industrial production.

Country by country data tables are available, as well as graphs showing trends for both individual countries and selected groups of countries.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Georgia, Latvia, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Slovenia, Ukraine.

Databases

Short-term trends survey

Main Developments for 2012

General aspects:

Starting with the publication of the 2nd quarter of 2009 results, an analytical report based on seaonnaly adjusted data is published each quarter published with the data on the ITF WEB site.

Information on air and maritime transport are integrated in the analysis to provide a global view on the transport activity.

An annual leaflet "key Transport Statistics" based on data for the 4 quarters is published each year in May for the ITF annual Summit in Leipzig.

Transport Sector Trends Analysis

Purpose

To provide a first analysis of both passenger and freight transport trends, as well as road accident trends. A short list of selected indicators are collected for that purpose.

Objectives and outputs

To publish an analysis of the transport situation in different geographical regions. The publication also gives the latest statistics on the situation of the transport market in ITF countries and presents charts which help to show what changes have occurred since 1970.

Because it is published earlier than any other comparable study, this report provides first-hand figures about passenger and freight transport as well as road accidents.

Since 2008 the publication also includes information on investment and maintenance expenses in transport infrastructures.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Georgia, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Slovenia, Ukraine.

Databases

Trends in the Transport Sector - Leaflet

Main Developments for 2012

General aspects:

The publication covers all transport modes including maritime and air as well as investment and maintenance expenses on transport infrastructures.
2.4.5 Tourism (OECD)
Tourism

Purpose

To meet the 2012-2016 Mandate of the Tourism Committee: a) improve the measurement of tourism services in OECD economies by addressing government and industry information needs and promoting the tourism satellite account; b) contribute to the dissemination of data on tourism economics and to a more effective use of such data for business and policy analysis and decision-making processes; and c) work in complementarity with other international organisations.

Objectives and outputs

In 2012, the third edition of "OECD Tourism trends and policies 2012" will be released. For the first time, it will be undertaken in cooperation with the European Committee. It will therefore contain augmented statistical data on member and selected non-member countries (54 countries). These data will be collected by two methods: a questionnaire will be addressed to countries; data extracted from OECD data bases. On the other hand, efforts will be made towards the dissemination of data and analysis on tourism economics at national and local levels. Special efforts will tend to promote the use of Tourism Satellite Account to public and private tourism stakeholders. In 2012, the activity on "Evaluating and Measuring Competitiveness in Tourism" will aim to identify a set of core/key indicators for measuring the overall performance and competitiveness of a country in tourism. At a later stage it will also include a pilot testing with voluntary countries.

Non-member countries involved in the activity:

Albania, Argentina, Brazil, Bulgaria, China, Croatia, Cyprus, Egypt, India, Indonesia, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, South Africa.

Databases

Tourism.
2.4.6 Banking, insurance, financial statistics (OECD)
African Central Government Debt Statistical Yearbook

Purpose

Borrowing requirements by governments in Africa to finance their budget deficits are met, to a large extent, by funds raised on financial markets and by non-marketable debt via bi-lateral, multi-lateral and concessional loans. Debt management techniques and policies can influence substantially the functioning of capital markets and the development of new financial instruments. As a consequence of globalisation, cross-border government borrowings have become more significant. Government debt instruments attract both institutional and retail investors and have an important share in the portfolios of fund managers.

The focus of the African central government debt statistical yearbook is to provide comprehensive quantitative information on African central government debt instruments i.e. marketable debt and to the extent possible the non-marketable debt as well, in all African countries. The coverage of the data is limited to central government debt issuance and all bilateral, multilateral and concessional debt and excludes therefore state and local government debt and social security funds.

Statistics are derived from national sources based on a questionnaire prepared under the auspices of the OECD Project on African Public Debt Management and Bond Markets.

Individual country data are presented in a comprehensive standard framework to facilitate cross-country comparison. Accompanying country methodological notes describe the details of debt instruments in each country and provide information on the institutional and regulatory framework as well as on selling techniques of debt instruments. This publication could not have been accomplished without the active contributions by African debt managers and the generous financial contribution by the Icelandic government.

Countries included are: Angola, Cameroon, Gabon, Kenya Madagascar, Malawi, Mauritius, Morocco, Mozambique, Namibia, Nigeria, Sierra Leone, South Africa, Tanzania, Tunisia, Uganda and Zambia.

Objectives and outputs

The African central government debt statistical yearbook provides greatly improved statistics on African central government debt instruments and debt stocks. The focus of the statistics is to analyse in detail marketable and non-marketable debt instruments in African countries with a view to providing an analytical tool, primarily to government debt managers but also to financial analysts from commercial financial institutions, research institutions, central banks, international financial institutions, government agencies, etc. The intention of the OECD Project on African Public Debt Management and Bond Markets is to disseminate annually revisions and updates in the form of paper and electronic editions.

Non-member countries involved in the activity:

Other.

Databases

African Central Government debt statistical yearbook

Main Developments for 2012

General aspects:

Third edition will contain revisions and updates from previous editions.

Bank Profitability - Financial Statements of Banks

Purpose

To compile comprehensive statistics based on financial statements and balance sheets of banks in order to analyse the developments in the profitability of the banking sector of OECD countries.

To provide detailed methodological country notes on the institutional and geographical coverage, the degree of consolidation, the structure of the banking system, the various activities of the banks covered, specific information on individual items, the sources of the data.

Objectives and outputs

The database and publication "Bank Profitability" provide statistical and methodological information to assess the changes in the state of health of national banking systems of OECD countries. They include data on the income statements and balance sheets of a number of bank groupings as well as on the structure of the national financial systems. The statistics relate to all institutions which conduct ordinary banking business, i.e. institutions which primarily take deposits from the public at large and provide finance for a wide range of purposes.

Banking indicators calculated on the basis of the primary data are also provided.

The database has been updated up to 2009 for all countries which were able to provide these data, which is a great improvement in timeliness.

Methodological notes complementing the data have been revised.

Non-member countries involved in the activity:

Russian Federation.

Databases

Bank Profitability - Financial Statements of Banks

Main Developments for 2012

General aspects:

The management of the Bank Profitability database has been provisory suspended in 2011, due to a lack in resources allocated to the Financial Statistics team and to a reorientation of STD priorities.

Data collection:

No change planned because the management of this database is suspended in 2011.

Data management:

None.

Fast-track data collection from largest pension funds worldwide

Purpose

The main goal of this exercise is to help policymakers gain a better understanding of investment strategies and risk management conducted by some of the world's leading pension funds. Further, the study will attempt to explain the extent to which differences in liability structures and country-specific regulation explain differences in the management style of funds.

Objectives and outputs

The questionnaire intends to collect quantitative and detailed qualitative information on investment rate of return, asset allocation, derivatives and operating costs. It also includes detailed questions on pension funds' investments in infrastructure.

In 2011, 23 pension funds in Australia, Brasil, Canada, Chile, Colombia, Denmark, Italy, Mexico, the Netherlands, Peru, Portugal, South Africa, Spain and the United Kingdom participated in the study.

Non-member countries involved in the activity:

Brazil, Colombia, Peru, South Africa.

Main Developments for 2012

General aspects:

Coordination by pension funds' regulators will be encouraged to increase sample size and geographical coverage.

Financial Literacy Measurement

Purpose

To report the levels of financial literacy amongst the adult population in surveyed countries and be able to compare across countries.

Objectives and outputs

Data collection and processing has been undertaken, and an analytical framework has been created.

Initial data analysis has been undertaken, and various measures of financial literacy have been created. The results will be made available in 2012 through one or more working papers.

Non-member countries involved in the activity:

Albania, Armenia, Malaysia, Peru, South Africa.

Monitoring of Insurance Markets: Global Insurance Statistics

Purpose

The recent financial market turmoil and rapid changes in financial markets and financial systems are creating new challenges for financial statistics. The increased complexity and potential opacity of financial sector operations resulting from globalisation and rapid innovation call for further transparency, better and more comprehensive data, and an enhanced capacity to analyse this data.

With a view to contributing to the development of macro-overview of the insurance market, the current standard questionnaire allows to collect key aggregate statistics relating to premium volume, balance sheet and income statement items (e.g., total assets, shareholder equity, technical provisions, net income), and portfolio investments.

Objectives and outputs

In the new framework of insurance statistics, the questionnaire is divided into two parts. The first part includes data on premium and key variables pertaining to the financial strength and profitability of the insurance sector. Data for this first part are collected during the first half of the year.

The second part includes more detailed information on premiums, claims, commissions and expenses, as well as information on reinsurers. Data for this second part are collected during the second half of the year.

Non-member countries involved in the activity:

Hong Kong, Malaysia, Russian Federation, Singapore, Slovenia.

Databases

Insurance

Main Developments for 2012

General aspects:

Further improvements foreseen within the framework of this project will include:

• Accelerating the collection of statistics to enhance timeliness;
• Expanding the current compact set of core statistics and indicators to include additional indicators;
• Organisation of a Global Seminar on Insurance Statistics in Asia. The participation of selected additional countries in the regions will be sought at this occasion;
• Seeking greater synergy between existing OECD insurance and pension statistical activities;
• To provide economic globalisation indicators of insurance statistics to analyse and measure the market share of foreign companies in the global market;
• Extending the geographical scope.

Monitoring of Private Pension Systems: Fast-track data collection

Purpose

The collection of key infra-annual statistical information is meant to improve the timeliness of the release of the OECD funded pension statistics to the public and to other international organisations.

Objectives and outputs

The fast-track data collection allows to collect recent statistical data on the pension fund sector. Only key variables are collected, such as total assets, investment rates of return and funding/solvency levels for DB pension plans.

Non-member countries involved in the activity:

Albania, Brazil, Bulgaria, Colombia, Costa Rica, Hong Kong, Latvia, Liechtenstein, Lithuania, Other, Peru, Republic of Serbia, Romania, Slovenia, South Africa, Thailand, Ukraine.

Main Developments for 2012

General aspects:

The variable 'Net investment return' is now collected to allow the OECD to calculate the investment rate of return, based on a formula agreed by the Task Force on Pension Statistics.

Data collection:

In 2012, countries will be invited to provide data on the net investment return.

Monitoring of Private Pension Systems: Public Pension Reserve Funds

Purpose

Funding is growing in what have been traditionally exclusively PAYG-financed, social security systems. Funding in these systems takes the form of reserve funds, which in most cases are institutions with their own governing board and look like pension funds in many aspects.

The main goal of the statistical exercise on Public Pension Reserve Funds is to collect in-depth and comparable information on these funds, with a focus on assets, asset allocation, and performance.

Objectives and outputs

Since 2003, the OECD collects statistical information on Public Pension Reserve Funds. Between 2003 and 2008, data were collected through information publicly available on the internet. Since 2009, a statistical questionnaire has been developed and allows to collect more in-depth and comparable information on Public Pension Reserve Funds, which is released on a yearly basis in the newsletter Pension Markets in Focus.

Non-member countries involved in the activity:

Argentina.

Main Developments for 2012

General aspects:

A new database will be created in Statworks to include data collected each year from Public Pension Reserve Funds.

Overview of private pension systems (methodological survey)

Purpose

The yearly review of funded pension system at national level intends to provide a benchmarking tool to develop further the understanding of pension systems and their compliance with the OECD classification for funded pension plans and funds. It also provides information related to the statistical data coverage of the OECD Global Pension Statistics.

Objectives and outputs

This annual survey provides comprehensive detailed metadata for the users of funded pension statistics. The survey, based on a standard template, allows the compilation of comprehensive and detailed metadata individually for all OECD and some non-OECD countries. Standard information allows bilateral comparisons and provides, to a large extent, the underlying differences that explain the cross-country discrepancies in funded pension statistics. The survey also allows the monitoring of methodological improvements over time and provides valuable information on the compliance of systems with the OECD Classification of funded pension plans and funds.

Further reading: OECD (2005), Private Pensions: OECD Classification and Glossary, OECD, Paris.

Non-member countries involved in the activity:

Albania, Brazil, Bulgaria, Colombia, Costa Rica, Hong Kong, Macedonia, Other, Republic of Serbia, Romania, Slovenia, Thailand.

Main Developments for 2012

General aspects:

No major changes.

Retirement Savings Adequacy

Purpose

The main goal of this research is to assess whether people are saving enough for retirement and to examine the role that private pensions play and could play in the retirement readiness of the working age population.

Objectives and outputs

The project consists of three phases:

• Phase 1 assesses how much individuals have to finance retirement, considering all pension sources, mainly state pensions, occupational pensions and personal pensions.
• Phase 2 extends the sources available to finance retirement by incorporating other savings that people can tap into at retirement (e.g. life insurance and housing).
• Phase 3 compares retirement income with a suitable reference income to determine whether people are sufficiently prepared to finance their retirement.

In 2012, calculations will be done for 2-3 countries.

Main Developments for 2012

General aspects:

In 2011, calculations of retirement savings adequacy have begun for Germany and the United States. The analysis will be extended to additional countries for the period 2012-2013.

Financial Indicators

Purpose

To capture in quantitative terms an important but heterogeneous and fast evolving area in globalisation of the financial markets and increased sophistication of the actors and activities in these markets.

Objectives and outputs

The Financial Indicators dataset contains financial statistics on six separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, Reserve Assets, International Trade, and Share Prices. In all cases considerable effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series' data to aid with analysis.

Non-member countries involved in the activity:

Brazil, China, Indonesia, Russian Federation, South Africa.

Databases

MEI_FIN

Main Developments for 2012

General aspects:

None expected.

Pension Monitoring

Purpose

In order to ensure that pension reforms are both financially and socially sustainable, it is essential to monitor the outcomes of changes in pension system parameters and rules. The activity uses a microeconomic approach which is particularly suitable for international comparison of pension policies. Prospective individual benefit entitlements from mandatory pension arrangements are modelled for full-career workers at different earnings levels. The framework uses the same economic assumptions for all countries and thereby abstracts from non-pension factors, which often distort international comparisons of pension systems. See www.oecd.org/els/social/ageing/PAG.

Objectives and outputs

To monitor pension systems and pension policies in OECD countries, to collect, up-date and analyse information on pension system rules and parameters and to model prospective pension entitlements for standard retirement, early retirement and interrupted careers. The output of this activity is published in regularly updated reports.

The second edition of Pensions at a Glance Asia/Pacific will be released in early 2012. The Women and Pensions report will be published in March 2012. Regional reports covering LAC and ECA will be produced during the year and work will commence on an update to Pensions Panorama.

In 2011:

• The main Pensions at a Glance publication was released and is available at www.oecd.org/els/social/pensions/PAG
• Key data were disseminated in OECD.Stat via http://stats.oecd.org/Index.aspx?DataSetCode=ELSPENSIONS
• An on-line Pension calculator was updated, via http://www.oecd.org/document/12/0,3343,en_2649_34757_43024076_1_1_1_1,00.html
• Most indicators related to pensions are available on-line in MS-Excel format via www.oecd.org/els/social/pensions/PAG

The fifth edition of Pensions at a Glance will be published in early 2013. The report will include updates of the models with 2010 parameters.

Non-member countries involved in the activity:

Argentina, Bolivia, Brazil, Bulgaria, China, Colombia, Costa Rica, Cyprus, Ecuador, Hong Kong, India, Indonesia, Latvia, Lithuania, Malaysia, Malta, Peru, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand, Uruguay, Venezuela.

Databases

Pension monitoring database

Main Developments for 2012

General aspects:

The range of countries covered under the Pensions at a Glance umbrella is constantly expanding with the update for PaG Asia being released in early 2012. Additional regional publications are also planned to cover the LAC and ECA regions with an update of Pensions Panorama also beginning later in the year. Further areas of analysis will concentrate on periods of career absense because of unemployment as well as the release of the Women and Pensions report in March 2012.

Data management:

The number of indicators covered in the data will be increased leading to the creation of a pensions database.4.5 Dissemination, data warehousing (OECD)
Glossary of Statistical Terms

Purpose

The aims of the OECD Glossary of Statistical Terms are:

• To provide a highly visible and readily accessible source of statistical terminology and definitions that are derived from international standards for use by OECD author areas in the development of questionnaires and other data collection instruments and for inclusion in published output. The Glossary also has wide application for external government and non-government agencies;
• To provide a set of target definitions based on existing international statistical standards that will ultimately be linked to data located in the OECD's Statistical Information System (SIS);
• To be the catalyst for the development of consistent international statistical standards by highlighting existing inconsistencies between existing standards.

Objectives and outputs

The OECD Glossary of Statistical Terms contains a comprehensive set of definitions of the main data items collected by the Organisation. The Glossary also contains definitions of key terminology and concepts and commonly used acronyms.

Over 6 700 definitions currently included in the glossary are primarily drawn from existing international statistical guidelines and recommendations that have been prepared over the last two or three decades by international organisations such as the OECD, IMF, ILO, Eurostat, United Nations working with national statistical institutes.

Work in 2007 entailed the addition of new definitions prepared by a number of OECD statistical working parties and expert groups, as well as definitions published by other international organisations, and the insertion of extensive information into the "context" field of the glossary, explaining the uses and limitations of many of the definitions included.

New Glossary facilities include the possibility to identify new definitions included in the Glossary or existing definitions modified. The facility to download the entire Glossary from the web in as a WORD file and PDF has also been developed.

References to the Glossary is now included in over 170 000 web pages of national statistical agencies, central banks and academic institutes.

Databases

OECD Glossary of Statistical Terms

Main Developments for 2012

General aspects:

There is an ongoing need to change the platform in which the Glossary is currently stored. Discussions are ongoing with SIMS/ITN.

Journal of Business Cycle Measurement and Analysis

Purpose

To exchange knowledge and information on the theoretical and operational aspects of business and economic cycle research, involving both measurement and analysis.

Objectives and outputs

The Statistics Directorate participates as associate editor and chairman of the editorial board of the Journal; provides liaison between the publication system (PAC) the editor in chief located in Zurich (CIRET) and the editorial board.

The journal is a peer-reviewed scientific journal focusing on business cycles. The themes covered by the Journal comprise: analysis and explanation of cyclical fluctuations; business cycle specification, definition and classification; statistical approaches to the development of short-term economic statistics and indicators; business tendency, investment and consumer surveys; use of survey data or cyclical indicators for business cycle analysis.

Each volume has two regular issues with 4-5 articles, and occasionally special editions. The Journal also provides a calendar of conferences, along with e-information and book reviews which are of interest and within its scope.

OECD Statistical DataWarehouse (OECD.Stat)

Purpose

OECD.Stat is the core element of the OECD Statistical Information System as it is the central repository and retrieval tool for the Organisation's statistical information resources. OECD.Stat is designed to contain the validated datasets to be shared and/or published, a special dataset for "Reference Series", all the statistical metadata associated with these datasets, and the glossary of statistical terms.

Objectives and outputs

OECD.Stat consists of a closed data warehouse with its standard entry and exit gates and a user front end (web browser). OECD.Stat is the basis of the new corporate tools for the statistical publications and electronic dissemination.

The main objectives and benefits for statisticians are: improved efficiency of statistical processes; improved quality, timeliness, visibility and accessibility of OECD's statistical resources; harmonisation effect of statistical classifications etc.; new and easier horizontal data products such as "Statistical Yearbook" and "OECD in Figures"; simplified and harmonised user access right management.

The data warehouse is physically independent from production systems and permits an easier management of connections from production databases (when new database versions or platforms), avoiding multiple interlinks between different production platforms.

Main objectives and benefits for analysts are: fast and user-friendly tools for locating and retrieving verified statistical data and metadata; availability of Reference Series and joint display of data from different OECD sources; easier interpretability of data; easier gathering of data to support horizontal projects; pre-defined executive reports; accessibility in-house and on the Internet without additional installations.

Today, about 95% of the OECD datasets are loaded into the OECD.Stat Data warehouse.

Respecting well-defined access right limitations, the data is available to specific users and groups within the OECD, to all OECD Staff, to member countries government staff via the OLISnet service, to the general public on the Internet, to specific public MyOECD users and to registered customers via the iLibrary commercial channel (including specific formats like Branded Views).

The OECD.Stat datawarehouse can also be accessed via the OECD analytical software (FAME, SAS, Stata, SPSS, Eviews) and includes a utility for an automated publishing of data in PC-Axis format for the OECD commercial service (iLibrary) as well as SDMX formats.

Main Developments for 2012

General aspects:

OECD.Stat is used by 5 other organisations (ABS, NZL, ISTAT, EC and IMF). Many other international organisations, Central banks and National Statistical Offices are also investigating sharing the system. This needs a significant support activity.

Main focus in 2012 will be on qualitative data, data acccessibility, web accessibility, and SDMX 2.1.

Publishing from the Statistical Information System

Purpose

To provide a publishing environment for the production of statistical publications and create new statistical dissemination services in the framework of the OECD Statistical Information System. The services include publishing complete databases, ready-made key tables and facts and figures indicators with dynamic graphs and commentary. The publishing environment comprises a publishing tool where the table is defined by the statistical editors in collaboration with authors, and a formatting engine where the data are extracted from OECD.Stat and formatted for multiple outputs such as paper, PDF, Excel, HTML. The environment improves the efficiency of the publishing process and the quality of final publications in print and electronic format.

Objectives and outputs

Produce publications through the publishing process from databases available in the central data base OECD.Stat. Continue to develop new procedures to take into account specificities of these new publications. Create new services to disseminate statistics.

In 2011, improvements in the OECD.Stat browser were made available on the OECD iLibrary. Complete databases, Key tables and facts and figures were published. Complete databases were published offline using a centralised process from OECD.Stat.

PAC statistical editors are now loading IEA data (14 datasets updated quarterly and 50 datasets updated annually), which represents the largest volume of data loaded by Directorates, into OECD.Stat. Statistical editors worked with directorates to review and improve the quality of the data and metadata being disseminated from the central data warehouse.

Regarding statistical publications, the new publishing system was used in 2011 to produce new online table collection publications in Excel, PDF, Web and print on demand, effectively transitioning the production of statistical publications from the Statistics Directorate to PAC. In 2011 PAC produced 20 statistical publications in two languages, including 2 publications which are monthly and 1 quarterlyand some 140 key tables.

Main Developments for 2012

General aspects:

In 2012, improvements in the OECD.Stat browser will be made available on the OECD iLibrary. Regarding statistical publications, the publishing environment will be used in 2012 to publish updates of publications already produced out of OECD.Stat in 2011 and to apply the procedures to a number of additional statistical publications. In 2012, data visualizations will be made available. Further objectives of 2012 aim to improve the discovery of high level indicators and complete databases by wiring them together on OECD's website.
4.6 Statistical confidentiality and disclosure protection (OECD)
Pension Monitoring

Purpose
In order to ensure that pension reforms are both financially and socially sustainable, it is essential to monitor the outcomes of changes in pension system parameters and rules. The activity uses a microeconomic approach which is particularly suitable for international comparison of pension policies. Prospective individual benefit entitlements from mandatory pension arrangements are modelled for full-career workers at different earnings levels. The framework uses the same economic assumptions for all countries and thereby abstracts from non-pension factors, which often distort international comparisons of pension systems. See www.oecd.org/els/social/ageing/PAG .

Objectives and outputs

To monitor pension systems and pension policies in OECD countries, to collect, up-date and analyse information on pension system rules and parameters and to model prospective pension entitlements for standard retirement, early retirement and interrupted careers. The output of this activity is published in regularly updated reports.

The second edition of Pensions at a Glance Asia/Pacific will be released in early 2012. The Women and Pensions report will be published in March 2012. Regional reports covering LAC and ECA will be produced during the year and work will commence on an update to Pensions Panorama.

In 2011:

• The main Pensions at a Glance publication was released and is available at www.oecd.org/els/social/pensions/PAG
• Key data were disseminated in OECD.Stat via http://stats.oecd.org/Index.aspx?DataSetCode=ELSPENSIONS
• An on-line Pension calculator was updated, via http://www.oecd.org/document/12/0,3343,en_2649_34757_43024076_1_1_1_1,00.html
• Most indicators related to pensions are available on-line in MS-Excel format via www.oecd.org/els/social/pensions/PAG.

The fifth edition of Pensions at a Glance will be published in early 2013. The report will include updates of the models with 2010 parameters.

Non-member countries involved in the activity:

Argentina, Bolivia, Brazil, Bulgaria, China, Colombia, Costa Rica, Cyprus, Ecuador, Hong Kong, India, Indonesia, Latvia, Lithuania, Malaysia, Malta, Peru, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand, Uruguay, Venezuela.

Databases

Pension monitoring database

Main Developments for 2012

General aspects:

The range of countries covered under the Pensions at a Glance umbrella is constantly expanding with the update for PaG Asia being released in early 2012. Additional regional publications are also planned to cover the LAC and ECA regions with an update of Pensions Panorama also beginning later in the year. Further areas of analysis will concentrate on periods of career absense because of unemployment as well as the release of the Women and Pensions report in March 2012.

Data management:

The number of indicators covered in the data will be increased leading to the creation of a pensions database.4.7 Data analysis (OECD)
eXplorer web-based interactive charts

Purpose

Provide an online animated and interactive graphical component for advanced data analysis and combines maps and graphs with stories allowing users to examine time developments and interrelations between indicators. A Vizlet version of this interface will be fully integrated with the OECD.Stat web browser allowing users to select the data to analyse (dynamic graphic).

Objectives and outputs

New production versions according to new user requests in different substantive directorates.

Full integration into OECD.Stat.

Main Developments for 2012

General aspects:

Deploy light eXplorer with OECD.Stat Web Browser and maintain application.

eXplorer web-based visualisation software

Purpose

Promote use of the eXplorer online data visualisation tool. This dynamic graphics package for advanced data analysis and combines maps and graphs with stories allowing users to examine time developments and interrelations between indicators. The interface will be fully integrated with the OECD.Stat web browser allowing users to select the data to analyse.

Objectives and outputs

Complete integration of eXplorer graphical components (maps, bubble charts, histograms, parallel coordinates plotters etc) with OECD.Stat interface. Work with data producers to produce animated data 'stories' for the web.

Main Developments for 2012

General aspects:

Increase use of eXplorer tool for data visualisation throughout OECD. Release integrated explorer graphics on OECD.stat public site.


2.5 Government finance, fiscal and public sector statistics (OECD)
Central Government Debt Statistics

Purpose

To provide an analytical tool primarily to government debt managers as well as to financial analysts including policy analysts, security analysts, commercial financial institutions, research analysts, etc. This work is carried out under the auspices of the Working Party on Government Debt Management.

The publication "Central Government Debt - Statistical Yearbook" provides annual statistics on central government debt instruments in the 34 OECD countries. The coverage of the data is limited to central government debt issuance; it excludes state and local government debt and social security funds. The main focus of the statistics is marketable debt instruments as well as duration and average term to maturity of domestic, foreign and total debt.

In addition, the publication provides individual country notes including methodological information such as a description of debt instruments and selling techniques in each country.

Objectives and outputs

In the 2011 edition of the statistical yearbook, 3 new OECD Member countries will be added: Estonia, Israel and Slovenia.

Non-member countries involved in the activity:

World.

Databases

Central Government Debt Statistics

Main Developments for 2012

General aspects:

This data collection is suspended in 2012.

It is replaced by a new data collection launched in January 2012 named "Quarterly Public Sector Debt". Please see the details of this new activity in the 2012 Program of Work.

Data collection:

No data collection is planned in 2012.

Consumption Tax Trends

Purpose

To compile data from OECD member countries on their consumption tax rates, scopes and thresholds and provide comparative tables and analysis of trends. This includes data on VAT/GST, selected excise duties and car taxation. To compile statistics on VAT/GST revenues from internal OECD sources in order to provide an analysis of trends and calculate the VAT Revenue Ratio. To provide information about a number of consumption tax topics.

Objectives and outputs

Objectives: obtain consensus from WP9 delegates on the table of contents (approved in November 2011); Obtain data from member countries (February 2012); Analyse data (February-April 2012); Drafting & special features (April-July 2012); Edition process (July-September 2012); Publication: September 2012.

Non-member countries involved in the activity:

India

Databases

Consumption Tax Trends

Main Developments for 2012

General aspects:

Compared to 2010 Edition, a special chapter will be devoted to application of VAT in federal countries (including Australia, Canada, Brazil and India). New tables will be added on input tax blockings and low consignment reliefs. Methodological amendements will be brought to the calculation of the VAT Revenue Ratio.

Data collection:

None.

Fiscal Relations Across Levels of Government

Purpose

To collect data to support the activities of the Network on Fiscal Relations across Levels of Government. This includes data on sub national governments' discretion over own revenues and expenditures, on the design of local taxes, on intergovernmental transfers, on fiscal equalisation, on indicators of decentralisation, and on macroeconomic management of sub-central finance (fiscal rules).

Objectives and outputs

Collection and user-friendly presentation of revenue and spending shares (sub-central government as a share of general government and GDP).

Databases

Fiscal decentralisation

Main Developments for 2012

General aspects:

More data will be available on OECD.stat. More data will be presented in a user-friendly way on the Fiscal Network's own website.

Monitoring of Private Pension Systems: Global Pension Statistics

Purpose

Launched in 2002 this exercise provides a unique source of comparable statistics and indicators of funded pension plan systems from an international perspective and also facilitates cross-country comparisons of the most up-to-date statistics and indicators on key aspects of funded retirement systems across OECD and non-OECD countries. It aims to provide information about the main trends and features of funded pension plan systems in a clear and concise format.

Objectives and outputs

It aims to provide in a compact manner a comparative overview of the importance and structure of private and funded pension systems across OECD and non-OECD countries using a selected set of statistics and indicators, compiled on an on-going basis together with its companion product dedicated to the description and assessment of countries' statistical methodology following the OECD Classification on pension plans and pension funds.

As far as paper publications are concerned, the newsletter "Pension Markets in Focus" was released in July 2011 and private pension indicators have been included in the flagship publication 'OECD Pensions at a Glance 2011'. Contributions to other OECD publications (e.g. 'OECD in figures', 'OECD Factbook') will continue in 2012 as well as approximately sixty country profiles generated for the IOPS Web site on a yearly basis. In addition, one OECD flagship publication will be published in 2012 including private pension statistics: the 'OECD Pensions Outlook 2012'.

Non-member countries involved in the activity:

Albania, Bolivia, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Hong Kong, India, Indonesia, Kazakhstan, Latvia, Liechtenstein, Lithuania, Macedonia, Peru, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, Slovenia, South Africa, Thailand, Ukraine.

Databases

OECD Global Pension Statistics
Pension indicators

Main Developments for 2012

General aspects:

With respect to quality improvements, the work in 2012 will focus on methodological issues such as valuation methods for assets and liabilities, and review of definitions within the statistical questionnaire.

The geographical scope should be extented to non-member countries, and in particular OECD Accession and Enhanced Engagement countries as well as remaining G20 countries not in the GPS framework yet.

Data collection:

Following discussions within the subgroup of the Task Force on Pension Statistics dealing with quality issues, and after the approval of the Task Force, adjustements will be done to the OECD statistical questionnaire, notably for the definition of variables related to investment income, derivatives and asset allocation.

Data management:

Additional variables should be collected related to asset allocation and derivatives.

OECD Statistical Yearbook on Central Government Debt and Public Debt Policies

Purpose

OECD Statistical Yearbook on Central Government Debt and Public Debt Policies:

The OECD also undertakes the annual collection of data for central government debt according to the specific requirements of the Statistical Yearbook on Central Government Debt which provide detailed breakdowns on public debt management policies and information on related primary and secondary government securities markets. The collection and provision of these additional data can serve as satellite accounts and complementary information. The OECD Statistical Yearbook on Central Government Debt (and Public Debt Policies) is currently being revised partly in response to the G20 Action Plan on Local Currency Bond Markets. To that end, Hans Blommestein, Head of OECD's Public Debt Management and Bond Market Unit, presented papers at the Third International Workshop on Developing Local Bond Markets (hosted by the Bundesbank in Frankfurt on 17-18 November 2011 and organized by the IMF and WBG as part of the implementation of the G20 Action Plan).

Objectives and outputs

Statistics and policy description are published in "Central Government Debt - Statistical and Policy Yearbook" for OECD countries. This publication was issued for the first time in 2000, analysing in detail and country-by-country central government debt in OECD countries. The main focus of the statistics is marketable debt instruments. In addition, the publication provides individual country notes including methodological information as well as a description of debt instruments and selling techniques in each country. The objective is to provide an analytical tool primarily to government debt managers as well as to financial analysts including policy analysts, security analysts, commercial financial institutions, research analysts, etc.

The main objective of provide information on policies is to make available comparable cross-country data on public debt managment strategies, operations and techniques.

Databases

Central Government Debt Statistics

Main Developments for 2012

General aspects:

Preparation of the Central Government: Statistical and Policy Yearbook based on a revised version model of previous annual publications.

Up-date and expand version of the Central Government Debt: Statistical and Policy Yearbook is envisaged. Part of this work constitutes a response to the G20 request on addressing data gaps.

Develop and improve documentation on the sources and methodology of national data as well as debt policies, procedures and techniques.

Data collection:

Prepare the Central Government: Statistical and Policy Yearbook based on a revised version model of previous annual publications.

Revenue Statistics

Purpose

To provide data on tax revenues in OECD countries. These data are widely used within and outside the OECD to analyse tax policy developments in OECD countries.

Objectives and outputs

The annual "Revenue Statistics" publication provides a conceptual framework to define which government receipts should be regarded as taxes and to classify different types of taxes. It presents a set of detailed, internationally comparable tax data in a common format for all OECD countries from 1965 onwards.

Special features dealing with specific areas of interest (e.g. the interpretation of tax-to-GDP ratios; the impact of revised GDP figures on reported tax levels; changes to the rules for attributing revenues by level of government) represent an important component of the annual report.

Databases

Revenue Statistics

Main Developments for 2012

General aspects:

Publish data earlier - by September.

Revenue Statistics in Latin America

Purpose

To provide data on tax revenues for a selection of Latin American countries under an OECD classification system thereby enabling comparisions between LAtin American and OECD countries.

Objectives and outputs

The Revenue Statistics in Latin America" publication provides a conceptual framework to define which government receipts should be regarded as taxes and to classify different types of taxes in 12 selected Latin American and Caribbean countries. It presents a set of detailed, internationally comparable tax data from 1990 onwards in a common format using the same methodology as the OECD Revenue Statistics database. The publication presents detailed cross-country comparisions between individual Latin American economies and also for the first time between them and OECD countries.

Non-member countries involved in the activity:

Argentina.

Databases

Revenue Statistics in Latin America

Main Developments for 2012

General aspects:

Add an additional 3 countries to the 12 countries covered in the first edition of the publication.

Data collection:

Including 3 additional countries to make a total of 15.

Data management:

Coverage extended to 15 countries from 12 previously.

Tax Rates

Purpose

To provide information on tax rates in OECD countries. The taxes covered are personal and corporate income taxes, social security contributions and value added tax. The data are used to analyse tax rate trends and their policy implications.

Objectives and outputs

Data tables showing, for each of the main taxes, the rate and its method of application in each country are disseminated on the OECD website.

Databases

OECD Tax Database.

Taxing Wages

Purpose

To provide annual data for OECD countries on the personal income taxes and social security contributions paid by employees and their employers.

Objectives and outputs

The annual "Taxing Wages" publication details the tax/benefit position of employees, covering personal income tax and social security contributions paid by employees and their employers, and universal cash benefits received by family units. Taxes and benefits are detailed for eight family-types, which differ by income level and household composition. The report also presents the resulting average and marginal tax rates.

Databases

Taxing Wages

Main Developments for 2012

General aspects:

Earlier publication in 2012 compared with May in 2011.

Government at a Glance Indicators

Purpose

To collect comparable data and indicators of good government and efficient public services, and to provide robust empirics with which to assess the impact of public management reforms and progress made in their implementation.

Objectives and outputs

The objective is to presents internationally comparable set of data in order to help decision makers and the public analyse and benchmark government performance. The database includes measures of both the market and non-market activities of government and for selected indicators of government-owned enterprises. Data are based on general government/public sector labor statistics; on detailed information from general government national accounts (investments, public corporations, supply and use tables) and informations collected by GOV surveys on governance as well data collected on government outputs and outcomes by CTP, EDU, ELSA. Government at a Glance indicators are regularly (every second year) published in "OECD Government at a Glance". The last edition (2011) included indicators on public finance and economics, public sector employment; HRM; compensation for key public sector occupations ; regulatory governace; tranparency in governance; service delivery and also output and outcome measures for selected policy sectors and functions.

Non-member countries involved in the activity:

Brazil, China, Egypt, India, Indonesia, Russian Federation, South Africa, Ukraine.

Databases

Government at a Glance Indicators

Main Developments for 2012

General aspects:

In 2012 the main priorities are to consolidate the existing database with the introduction of periodical updates of such database for selected indicators. Moreover, priority is to implement the development of new indicators for Government at a Glance 2013 focusing on service delivery, rule of law and better indicators for the the implementation and results of various public management and governance practices.

Data management:

Planning to introduce periodical updates of the dataset for selected indicators.

Benefits and Wages

Purpose

Monitor reforms of tax and benefits systems and their impact on work incentives and income adequacy. Results are used as the basis of the OECD's "Benefits and Wages" publication and as inputs into a wide range of studies produced within and outside the OECD. In addition, the group develops and maintains tax-benefit models. These computer models allow a wide range of tax and benefit indicators to be produced. Finally, the online "tax-benefit calculator" and tax-benefit models for 32 OECD and an additional 6 EU countries are available on the web-page www.oecd.org/els/social/workincentives and are updated annually.

Objectives and outputs

The Benefits and Wages series addresses the complicated interactions of tax and benefit systems for different family types and labour market situations. The series is a valuable tool used to compare the different benefits made available to those without work and those with different levels of in-work income. The resulting indicators (such as 'net replacement rates') are useful for addressing issues of both work incentives and adequacy of household incomes.

Recent updates include calculations of incomes and work incentives net of childcare costs. Country coverage was recently extended to include Estonia, Israel and Slovenia, and, as part of a grant agreement with the European Commission, the new EU Members States who are not currently members of the OECD: Bulgaria, Cyprus, Latvia, Lithuania, Malta and Romania. Preliminary models have been developed for Russia. Finally, ad-hoc (2009) models were developed jointly with the World Bank for a number of south-eastern European countries: Bosnia and Herzegovina, Former Yugoslav Republic of Macedonia (FYROM), Serbia.

An interface for interactive web access to tax-benefit models has been developed ("tax-benefit calculator") and is available on the web-page www.oecd.org/els/social/workincentives. Also available on this web page are country files and model output for 38 countries.

Non-member countries involved in the activity:

Bosnia and Herzegovina, Bulgaria, Cyprus, Latvia, Lithuania, Macedonia, Malta, Republic of Serbia, Romania, Russian Federation, Slovenia.

Databases

Benefits and Wages

Main Developments for 2012

General aspects:

On-line publication of 2010 tax-benefit models, country files and an expanded range of work incentive and income adequacy indicators for 38 countries. Ad hoc update of policy summary tables. Development of 2011 models for 39 countries (adding Chile). Commence up-date of synthetic earnings distribution data, by gender, to latest post-crisis year available.

Data collection:

Include Chile.


2.6 International trade and balance of payments (OECD)
Creditor Reporting System (CRS) Aid Activity Database

Purpose

Provide Members of the Development Assistance Committee (DAC) and the international aid community a set of readily available basic data that enables analysis on where aid goes, what purposes it serves and what policies it aims to implement. The DAC uses the data for consideration of specific policy issues and for monitoring donors' compliance with various international recommendations in the field of development co-operation. Outside the DAC, the data is mainly used to analyse the sectoral and geographical breakdown of aid for selected years and donors or groups of donors.

Objectives and outputs

Improve consistency, presentation and coverage to reflect current development co-operation priorities and classifications. Continue work on converging DAC and CRS datasets. Improve reporting and timeliness at an activity level.

Since 2008 (reporting on 2007 flows) the CRS includes the Trade capacity Building Database (TCBDB) operated previously by WTO.

Databases

Creditor Reporting System (CRS) Aid Activity Database

Main Developments for 2012

General aspects:

No major changes.

Data collection:

No major changes.


Database on Country Programmable Aid (CPA database)

Purpose

Provide members of the Development Assistance Committee (DAC) and the international aid community a set of readily of available statistics on country programmable aid (CPA) flows. This new measure of aid comes much closer to capturing the flows received and recorded in country aid management systems than measures of total aid (ODA - official development assistance). CPA is estimated on the basis of the standard DAC statistics (DAC and CRS) and defined through exclusion, by subtracting from total gross ODA aid that is: unpredictable by nature (humanitarian aid and debt relief); entails no cross-border flows (administrative costs, imputed student costs, promotion of development awareness, and research and refugees in donor countries); does not form part of co-operation agreements between governments (food aid and aid from local governments); or is not country programmable by the donor (core funding of NGOs). The database provides reference data to DAC and other stakeholders for the analysis of fragmentation and planned forward spending of aid.

Objectives and outputs

To provide timely and comprehensive statistics on country programmable aid (CPA) for all countries and territories on the DAC List of ODA Recipients. To provide reference data for the annual Report of the Survey of Indicative Forward Spending Plans and for the annual Report on Division of Labour and global fragmentation.

Main Developments for 2012

General aspects:

Further strengthening the methodology to derive CPA.

Official and Private Resource Flows from DAC Members to Developing Countries

Purpose

The Development Assistance Committee (DAC) database provides comprehensive data on the volume, origin and types of aid and other resource flows to over 150 aid recipients. The data shows each aid recipient's receipts of official development assistance (ODA), other official flows and private flows from members of the DAC, multilateral agencies and other non-DAC donors.

Objectives and outputs

To provide timely and comprehensive statistics of official and private flows to all countries and territories on the DAC list of ODA recipients. Improve consistency, presentation and coverage to reflect current development co-operation priorities and classifications.

Update reporting guidance to maintain comparable statistics and improve reporting and comparability of statistics on the tying status of aid.

Support work on changing patterns of development finance and the increasing role of private flows.

Databases

Database on official and private resource flows from DAC Members to developing countries.

Main Developments for 2012

General aspects:

Continue with converging DAC data collections (CRS and DAC); propose converged directives for approval; further work on improving access to data, possible sharing of data with developing countries, and continuing help from Secretariat to members in improving statistical quality and timeliness.

Continue work on non-ODA flows which examines types of development financing other than ODA (non-concessional official loans inc. export credits, private flows inc. remittances, guarantee schemes). This analysis will focus on both the volume and developmental relevance of these flows.

DAC interest: DAC members afforded a high priority to this work during discussions of the PWB for 2011-2012, consequently (and based on the progress of work).

Data collection:

Improve types of aid reporting and convergence of DAC data collections (CRS+DAC).

Balance of Payments

Purpose

To collect and publish timely, accurate and internationally comparable Balance of Payments statistics to meet OECD user needs and in support of identified data needs.

Objectives and outputs

To provide timely summary quarterly statistics on Balance of Payments. To improve the efficiency of data collection, timeliness, international comparability and quality of the published balance of payments data on the MEI database. To contribute as appropriate to the OECD Quarterly Trade Press Release. To contribute to methodological work on Balance of Payments. To improve information on remittance flows to meet user needs. Integrate Enhanced Engagement countries.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

Balance of Payments
MEI_BOP

Main Developments for 2012

General aspects:

The SDMX coding for BOP in BPM6 including the extended Balance of Payments in Services classification will be elaborated in coordination with OECD/DAF and other International Organisations.

Data collection:

Improve the efficiency and timeliness of data collection. Find new data for non member countries.

International Coordination of trade in Services Statistics

Purpose

Given the wide variety of activities carried out by national and international organisations related to trade in service statistics, to improve coordination of international development work on trade in services statistics and facilitate a strategic view of priority needs. To provide an overview of these activities and facilitate communication between international expert groups involved. To identify overlaps, links and gaps in international work on methodological issues and data collection.

Objectives and outputs

In cooperation with UNSD, provide a report to the UN Statistics Commission (UNSC) on coordination of trade in services statistics, with proposals on strategy, as requested by UNSC.

Facilitate coordination on service statistics by providing central information point on services statistics developments, gathering information from active groups, and create and maintain web pages on international developments in services statistics.

Non-member countries involved in the activity:

Brazil

Main Developments for 2012

General aspects:

Continue to chair and coordinate the work of the Task Force on Statistics on International Trade in Services (TFSITS).Cooperate on the work related to the Trade in services compiler's guide.

International Trade in Goods

Purpose

To produce consistent and timely international trade data for OECD member countries and ensure methodological soundness and comparability of international trade data. To conduct research to improve the quality of the concepts underlying international trade data and play an active role in the development of international standards.

Objectives and outputs

Collects and maintains two databases for analytical use: (a) monthly data of exports and imports at current prices by partner countries and main categories of commodities, and volume and average value indices for selected countries and main categories; and (b) detailed annual data of exports and imports by commodities and by partner countries using three classifications (SITC, HS, ISIC).

Full implementation of the OECD-UNSD data sharing agreement covering all OECD member countries. A successful completion of the first phase (data collection and transmission to UNSD) of this initiative has already resulted in a reduction of the response burden for member countries and has led in 2006 to identical trade figures published by both the UN and the OECD (processed data). The OECD meeting of experts in international trade will continue to stimulate the exchange of views and research on methodological issues.

OECD continues to participate in and contribute to the Inter-Agency Merchandise Trade Task Force and manages, and moderates together with WTO, the EDG "Tradenet" on methodological and co-ordination issues affecting various national and international organisations.

Non-member countries involved in the activity:

Brazil, China, Chinese Taipei, Russian Federation, Slovenia.

Databases

International trade by Commodity Statistics
Monthly Statistics of International Trade

Main Developments for 2012

General aspects:

In 2012, data quality and timeliness of processed data should be further improved as it is planned to implement "data capture" checks in order to facilitate the upload of data into ITCS.

ITCS in OECD.Stat has continued stabilizing in 2011. For users efficiency results have been gained thanks to the better awareness of the possibility of a direct link to the trade data in the format of SQL tables. Also the architecture of ITCS with a direct link to OECD.stat has proven to function well with better performances and better timeliness.

In the context of the 2011-2012 bienium project of implementation of Unit value Indexes to the annual trade database, research will be continued on an outlier detection method that can fit with the data provided with the different members of the OECD

Data collection:

Concurrent use of the ITCS OECD-UNSD common data collection and processing system and the OECD trade ITCS in OECD.Stat. Full addition of ISIC classification.

International Trade in Services

Purpose

To provide detailed, relevant and internationally comparable data for trade policy and economic analysis. The information needs of international trade negotiations including the General Agreement on Trade in Services and the observed increase in internationalisation of services production are driving new developments.

Objectives and outputs

An annual joint effort publication with Eurostat and database: "OECD Statistics on International Trade in Services - Detailed tables by category of service". This covers the 34 member countries. Data are based on the concepts of the IMF's 5th Balance of Payments Manual (except for Australia that already moved to BPM6) and are broken down according to the detailed EBOPS Classification of Trade in Services with the exception of Australia which has started compiling information according to BPM6. The publication "OECD Statistics on International Trade in Services - Detailed Tables by Partner Country" provides bilateral service trade flows for 33 member countries, Hong Kong SAR and Russian Federation.

Coordinate the work of the Interagency Task Force on Statistics of International Trade in Services. Contribute to the Trade in services compilation Guide. Contribute to organisation of the WP on trade in goods and trade in services statistics.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, Slovenia, South Africa.

Databases

International trade in services by category of service (TIS)
OECD Statistics on International Trade in Services by Service Category and by Partner Country

Main Developments for 2012

General aspects:

The SDMX coding for BOP in BPM6 including the extended Balance of Payments in Services classification will be elaborated in coordination with OECD/DAF and other International Organisations.

Facilitate to the extent possible links between the classifications EBOPS and ISIC.

Continue Implementing EBOPS 2010 in Statworks and upload countries that have adopted the new standards.

Improve the timeliness, with rolling updates, and detail of published data. Monitor progress in the implementation of MSITS recommendations.

Contribute to OECD analytical work and in particular work closely with TAD and STI on data needs for the Services Trade Restrictiveness Index. Improve estimates of world trade flows of services.

Cooperate with Eurostat to collect and make available as far as possible partner country data on remittances.

Develop cooperation with UNSD and other agencies on data sharing in trade in services.

Initiate merge of the Trade in Services by category and by partner country in order to save resources to be allocated to the development of databases and metadata related to the new standards.

Cooperate with WTO to elaborate the annual World Matrix of bilateral services flows.

Data collection:

Pursue rolling update of trade in services by partner country data as data become available. Countries that are sent an excel questionnaire will be asked to fill it in. A second best would now be for them to provide us with their data in an SDMX format.

Joint OECD/UNSD Annual Trade System

Purpose

Maintain International Trade Database to manage Annual and Monthly statistics in collaboration with the United Nations Statistics Division.

Objectives and outputs

Technical maintenance and small enhancements to the system.

Main Developments for 2012

General aspects:

Technical maintenance and small enhancements.

Monthly International Trade

Purpose

To produce consistent and timely international trade data for OECD member countries, ensure methodological soundness and comparability of international trade data, conduct research to improve the quality of the concepts underlying international trade data and play an active role in the development of international standards.

Objectives and outputs

Collect data and maintain database for analytical use: monthly data of exports and imports at current prices by partner countries and main categories of commodities, and volume and average value indices for selected countries and main categories. Continuous and close co-operation with key users at OECD. Updating cycles optimised to respond to needs of Economic Outlook. Online availability of OECD's detailed international trade data. OECD continues to actively participate and contribute to the International Trade Task Force (Inter-Agency TF).

Non-member countries involved in the activity:

Slovenia

Databases

Monthly Statistics of International Trade (MSIT)

Main Developments for 2012

General aspects:

No major changes.

Services Trade Restrictiveness Index

Purpose

The STRI database will be a unique resource providing internationally comparable current information on regulatory policies affecting trade in services.

Objectives and outputs

The main achievements for 2011 are:

• Complete refinement of the entire regulatory database;
• Verification of 95% of the OECD member countries and complete verification of 50% of them;
• Extension to 6 new sectors;
• Countries and experts are now convinced of the utility of such a tool.

Non-member countries involved in the activity:

India, Slovenia.

Main Developments for 2012

General aspects:

The regulatory database for the pilot sectors should be finalised during the first half of 2012. A first version of the interface developed by the OECD for dissemination of qualitative information should The coverage of the new sectors has already started for 30% of the countries.

STAN Bilateral Trade Database by Industry and End-use (BTDIxE)

Purpose

The STAN Bilateral Trade Database by industry and end-use (BTDIxE) is a new tool for analysing global production networks. This database presents international trade in goods broken down both by industrial sectors and by end-use categories for the period 1995-2010, allowing, for example, insights into the patterns of trade in intermediate goods between countries to track global production networks and supply chains, and helping to address policy issues such as trade in value added and trade in tasks. In particular, it is designed for linking OECD Input-Output tables to allow development and user of inter-country I-O models.

BTDIxE is an extension of the "traditional" BTD - maintained since the mid-1990s and covering total trade by industry only. The BTDIxE industry list provides sufficient detail to enable users to highlight high-technology sectors and is compatible with those used in related OECD databases. The end-use category list includes the three broad SNA categories: capital goods, intermediate goods and household consumption.

Objectives and outputs

A first version of BTDIxE was released at the end of 2011 together with documentation in the form of STI Working Paper (DSTI/DOC(2011)6. Figures provided for all OECD countries and 30 non-OECD countries. Data to 2010 for 56 out of 64 countries.

To build the data set, 8 conversion keys were developed - from each version of HS (1988, 1996, 2002 and 2007) to both ISIC Rev.3 and End-uses (via BEC).

Non-member countries involved in the activity:

Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Croatia, Cyprus, Hong Kong, India, Indonesia, Latvia, Lithuania, Macedonia, Malaysia, Malta, Moldova, Other, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Saudi Arabia, Singapore, Slovenia, South Africa, Thailand.

Databases

STAN Bilateral Trade Database by Industry and End-use (BTDIxE)

Main Developments for 2012

General aspects:

• Complete update to 2010 for all countries;
• Include trade flows adjusted for Hong Kong re-exports;
• Undertake further country specific adjustments as required;
• Add countries / country groups according to demand;
• Embark on development of new trade indicators based on BTDIxE;
• Draft paper based on analytical use of BTDIxE;
• Develop and implement a concordance key for converting HS product data to ISIC Rev. 4.

Trade by enterprise characteristics

Purpose

To measure, on the one hand, the contribution of real economic sectors to international trade, and on the other hand, to complement business data with detailed information on trade, which is traditionally not part of business statistics.

Objectives and outputs

Under guidance of the Business Economic Statistics and Trade (BEST) Steering Group, a first OECD Linkage Table, which is based on Eurostat's Standardisation Document Rev. 2, was sent out to participating Non-EU-OECD member countries. Up to now, OECD has received data collection tables from Canada, Israel, Norway and the United States. In addition, Eurostat provided OECD with the respective (published) data tables of several EU member states for reference years 2005-7. After reclassification of the Eurostat data to OECD standards (ISIC and CPC classifications, USD currency and OECD geo-nomenclature), these were integrated to the Trade by enterprise characteristics (TEC) database of the OECD, available in the globalisation cube of OECD.Stat.

Databases

Trade by Enterprise Characteristics

Main Developments for 2012

General aspects:

In 2012, the data collection will include more recent reference years and more countries, by inviting a wider group of OECD member countries. A close cooperation with Eurostat will be maintained.

The Handbook on Trade Microdata is expected to be completed in 2012 and submited to the BEST Steering Group.


2.7 Prices (OECD)
Price Indicators

Purpose

To provide a set of relevant, reliable, timely, monthly and quarterly price indices (CPI and Producer Price Indices) for internal and external users. To provide methodological information on these price indices.

Objectives and outputs

• The 'Price Indices' dataset in the Main Economic Indicators (MEI) database contains statistics on Consumer prices, Producer prices and Construction costs for 34 OECD member, Russian Federation and 5 B(R)IICS countries. The data series presented within these subjects have been chosen as the most relevant prices statistics in the MEI database for which comparable data across countries is available. In all cases much effort has gone into ensuring international comparability and into the availability of historical time-series for analysis.
• Revision of the Methodological guide for developing producer price indices for services.

Databases

MEI
MEI_PRICE

Main Developments for 2012

General aspects:

• Finalisation of the Methodological guide for developing producer price indices for services with a view to finalising work in 2012.
• Continue to improve the dissemination of price indices.

Data management:

Harmonisation of metadata across countries and introduction of new inflation measures.

Purchasing Power Parities

Purpose

Produce reliable and timely Purchasing Power Parities (PPPs) data for OECD member countries. PPPs are an important tool to compare levels of real income or real output across countries with indicators such as GDP per capita and relative price levels between countries.

Objectives and outputs

• Organisation of the data collection for the 2011 round which started in 2009 and covers 47 countries (30 OECD countries and 17 non-member countries).
• Work closely with Eurostat to further harmonise the methodology employed. Participate in the ad-hoc task forces set up by Eurostat to discuss various issues associated with PPPs 9Revision of the (PPP manual).
• Provide technical input into the 2011 round of the ICP currently being organised by the World Bank.
• Work closely with ELS on devleoping a new methodology for health specific PPPs (publication of a WP on hospital price levels).

Databases

ANA
Purchasing Power Parities

Main Developments for 2012

General aspects:

Finalise the methodology to calculate specific PPPs for health for all countries participating in the Eurostat-OECD PP manual.

Provide technical input into the 2011 round of the ICP currently being organised by the World Bank.

Publication of the revised OECD Eurostat-OECD PPP manual.

Calculation of the preliminary results of the 2011 Round.


2.9 Science and technology (OECD)
Analytical Business Enterprise Research and Development

Purpose

To provide a consistent and comparable data set across countries and over time on industrial R&D expenditures broken down by industry.

Objectives and outputs

The ANBERD (Analytical Business Enterprise Research and Development) database is continually revised to enhance the international comparability of time series on business enterprise R&D expenditure (BERD) by industry.

Non-member countries involved in the activity:

China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Analytical Business Enterprise Research and Development (ANBERD)

Main Developments for 2012

General aspects:

In 2011 the country coverage was expanded and improved data processing and checking routines were implemented. In 2012, the estimation techniques for missing data will continue to be improved and preparations will be made for the forthcoming move to ISIC Rev.4.

Data management:

Adapt the data production system to move from ISIC Rev3. to Rev4.

Biotechnology

Purpose

To establish international standards for the collection of biotechnology data across OECD member countries.

Objectives and outputs

Under the auspices of the National Experts of Science and Technology Indicators (NESTI) group, six Ad hoc Biotechnology Statistics meetings have been held to date. These meetings have achieved: an internationally agreed upon definition of biotechnology, a model survey for the collection of biotechnology data in member countries, and an inventory of biotechnology data collected in member and selected non-member countries.

OECD Biotechnology Statistics was released in 2009.

Key Biotechnology Statistics is updated annually and published online.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, Russian Federation, South Africa, Thailand.

Main Developments for 2012

General aspects:

Additional countries.

Careers of Doctorate Holders

Purpose

Collect data on the labour market outcome and mobility of doctorate holders.

Objectives and outputs

Collect data and update internal database, use data for analysis at the macro level, launch work using micro-data with interested countries, evaluate data collection and revise methodology accordingly.

Non-member countries involved in the activity:

Bulgaria, Chinese Taipei, Croatia, Latvia, Lithuania, Malta, Romania, Russian Federation.

Databases

Indicators on Careers of Doctorate Holders

Main Developments for 2012

Data management:

New dataset.

Main Science and Technology Indicators

Purpose

To publish biannually the most commonly used indicators on science and technology on an internationally comparable basis. The database and publication are regularly updated with 76 (paper publication) to 140 (electronic publication) data series presenting resources devoted to R&D and measures of output and the impact of S&T activities.

Objectives and outputs

This biannual publication provides a set of indicators that reflect the level and structure of the efforts undertaken by OECD member countries and 7 non-member economies in the field of science and technology. These data include final and provisional results as well as forecasts established by government authorities. The indicators cover the resources devoted to research and development, patent families, technology balance of payments and international trade in highly R&D intensive industries. Also presented are the underlying economic series used to calculate these indicators. Series are presented for a reference year and the last six years for which data are available (paper publication) and beginning 1981 (electronic editions).

Non-member countries involved in the activity:

Argentina, China, Chinese Taipei, Romania, Russian Federation, Singapore, South Africa.

Databases

Main Science and Technology Indicators

Main Developments for 2012

Data management:

MSTI database production system: migration from StatWorks to SAS software (2010-Q4).

Patent Statistics

Purpose

To develop an international statistical infrastructure for patents (including databases and methodologies), which will provide the conditions for improving the quality and international comparability of patent indicators. Development of policy-relevant indicators from this work. Serves as a basis for policy relevant studies carried out within and outside OECD.

Objectives and outputs

The main objective is to develop patent databases suitable for calculating indicators for statistical and S&T/Entrepreneurship policy purposes, covering patent filings to national and regional patent offices across the world.

Currently, the following patent statistics are collected and processed on a regular basis: indicators based on EPO (European Patent Office) patent; indicators based on USPTO (US Patent and Trademark Office) patents; indicators based on patent applications filed under the PCT (Patent Co-operation Treaty) and "triadic" patent families indicators. EPO and PCT data are also broken at the lowest regional level (NUTS3/TL3) for all OECD countries and selected economies.

Patent statistics are published in various publications: Main Science and Technology Indicators; OECD Science, Technology and Industry Scoreboard; OECD Science, Technology and Industry Outlook and in the Statistical compendium of the Innovation Strategy

"Measuring innovation: a new perspective".

The focus of the methodological work is to provide guidelines for compiling patent statistics and indicators, and to provide users with methodological information in a transparent manner. The following issues have been investigated: criteria for counting patent data; triadic patent families' definition; patent data for specific technology area; patent data by industry, patents by region and patent citations. The OECD Patent Statistics Manual 2009 provides further guidelines for analysing and building patent statistics in the framework of S&T indicators.

A matching exercise is currently being performed at the micro-data level, linking the patent data to the firm level databases (e.g. ORBIS database of Bureau van Dijk) using the patent applicant name. A database on harmonised patent applicant's names (HAN) is available to researchers. It is currently being improved and expanded, and is used to build new indicators at the firm level.

Similar work is also conducted for other intellectual property assets such as Trademarks.

Regular conferences on IP-related statistics are jointly organised by OECD, EPO, USPTO, JPO, WIPO and Eurostat.

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Azerbaijan, Belarus, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Egypt, Europe, Georgia, Hong Kong, India, Indonesia, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malaysia, Malta, Moldova, Mongolia, Morocco, Other, Peru, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, Slovenia, South Africa, Tajikistan, Thailand, Turkmenistan, Ukraine, Uruguay, Uzbekistan, Venezuela, World.

Main Developments fo