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2.1 Macroeconomic statistics

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:

Estonia, Israel, Slovenia

Databases

Database for Industrial Analysis (STAN)

Main Developments for 2010

General aspects:
Inclusion of certain OECD Accession countries in STAN (e.g. Estonia, Israel and Slovenia). Complete preparations for implementation of ISIC Rev. 4. 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 further work was undertaken on the portal which has been developed to provide a focus / hub for information relating to business tendency and consumer opinion surveys. The website includes links to existing international guidelines and recommendations, questionnaires used by national institutes, summary metadata describing key elements of national surveys, selected country data, selected best practice, key terminology.

Non-member countries involved in the activity:

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

Databases

MEI_BTS_COS

Main Developments for 2010

General aspects:

Implementation of the work plan arising out of the joint European Commission OECD workshop on business tendency and consumer opinion surveys and composite indicators held in Brussels in November 2009. The plan entails developments in a number of specific areas, namely: the evolution of standards to promote greater harmonisation of outputs produced by different countries; development of standards for the presentation of metadata resulting in greater transparency; procedures for improving response rates; expansion of survey coverage into the service sector; etc.
Work in 2010 will entail continued collection and dissemination of metadata from non-EU and BRIICS national institutes which will complement similar methodological information collected by the European Commission for EU countries. Publication of non-seasonally adjusted series.

Competitiveness Indicators

Purpose

To provide harmonised tools for OECD member countries to assess and monitor the level and the progress of their competitiveness positions.

Objectives and outputs

  • To identify competiveness framework
  • To identify a list of indicators can be included in the competitiveness framework and to prepare the database for the variables
  • To prepare a competitiveness compendium

Main Developments for 2010
General aspects:
New activity in 2010.

Cyclical Indicators

Purpose

To compile and disseminate the OECD cyclical indicators for OECD member countries and (in future) for the BRICS NMEs + Indonesia, which help analysts to assess the cyclical phase of the OECD economies and forecast its future development.
To encourage 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 2009 were the implementation of the review to move towards a different de-trending and smoothing method - the double Hodrick-Prescott (HP)-filter.

Non-member countries involved in the activity:

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

Databases

MEI_CLI

Main Developments for 2010

General aspects:

Development of the OECD MEI Business Cycle Analysis Database. Update CLIs for selected OECD member countries.

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.
The activity is also involved in the development of new international standards and the formulation of guidelines for best practice for short-term statistics.

Objectives and outputs

Maintaining the Main Economic Indicators (MEI) database, which contains monthly and quarterly statistics (and associated statistical methodological information) for the 30 OECD member and for the non-member economies (Brazil, Chile, China, Estonia, India, Indonesia, Israel, Russian Federation, Slovenia and South Africa) 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.
Methodological work is carried out through the informal gathering of Short-term Economic Statistics Experts that meet as and when issues arise, usually annually, and other related fora for example via the ECB or Eurostat and the joint forum on business tendency and consumer opinion surveys established with the European Commission.
In addition to the ongoing publication of MEI, the main achievements in 2009 included: the completion of the work of a task-force to provide recommendations on revisions analysis and policy - including the development of an on-line revisions analysis tool; improvements made to the CLI compilation system and underlying methodology; a review of the overall publication and database to improve efficiencies in their production and to create a much more generic, and so user-friendly, format to the publication; the introduction of Key Economic Indicators to OECD.Stat; and a more general review of the presentation of all MEI indicators on OECD.Stat in line with PAC branded-view requirements.
Further information on these achievements are available in the reports of the seven short-term economic statistics domains that feed into the MEI (balance of payments, business tendency and consumer opinion surveys, cyclical indicators, financial indicators, labour force statistics, prices, production and sales).

Non-member countries involved in the activity:

Brazil, Chile, China, Estonia, India, Indonesia, Israel, Russian Federation, Slovenia, South Africa.

Databases

Main Economic Indicators (MEI).

Main Developments for 2010

General aspects:
To continue the revised publication process making for a more efficient production process.
To continue to review the database, identifying series no longer relevant and new important series.
To carry out a reorganisational restructuring of work processes within the MEI team to identify further efficiencies and synergies: bring together web-queries within a coordinated management system; harmonising seasonal adjustment procedures; and introducing stand-alone QA-tools based on creating composite indicators, such as unit labour costs for example, for diagnostic purposes.

Data collection:

On-going processes to improve the efficiency and timeliness of data capture processes.
There will also be expanded use of data from Eurostat's 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 comparison 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 2010

General aspects:
No major changes.

Short-term Economic Statistics Timeliness Framework

Purpose

To make available a structured collection of documentation on a range of methodological and operational good practices currently used by national statistical organisations for improving timeliness, reducing costs or improving accuracy in the production of short-term economic statistics from business surveys and/or administrative sources. It is presented on the OECD web site as a user friendly web interface and is updated annually.

Objectives and outputs

The Short-Term Timeliness Framework is a structured collection of documentation on a range of methodological and operational good practices currently used by national statistical organisations for improving timeliness, reducing costs or improving accuracy in the production of short-term economic statistics from business surveys and/or administrative sources.
The process for producing short-term economic statistics is divided into broad categories. For each of them a range of techniques that can be applied to improve timeliness or reduce costs is described. The links to access more detailed information on these techniques, based on the research undertaken in developing the framework, are made available. The documentation referenced in the framework was collected from statistical organisations, statistical journals and proceedings from statistical conferences by a taskforce of the OECD Short Term Economic Statistics Working Party (STESWP). The content also covers methods to improve the quality of short-term economic statistics.
The current activity is to continue to maintain the framework with new material which was done in 2007. Links were also made with the newly establish Administrative Data Frameworks.

Main Developments for 2010

General aspects:
No major changes.

Going for Growth Structural Policy Indicators

Purpose

Used to benchmark structural economic policy settings in the context of the Going for Growth exercise.

Objectives and outputs

Updated indicators in the context of Going for Growth 2010. Partly enlarged their scope as a first step to more fully integrating the enhanced engagement countries.

Non-member countries involved in the activity:

Brazil, China, India, Indonesia, South Africa

Main Developments for 2010

General aspects:
Partial enlargement of the scope of indicators to enhanced engagement countries, and policy issues of special relevance to these countries. Also, updating and extension of indicators for OECD member countries.

Indicators of Product Market Regulation (PMR) database

Purpose

The OECD has developed a range of indicators of product market regulation at both the economy-wide and sectoral levels to measure the extent to which policy settings promote or inhibit competition in areas of the product market where competition is viable.

Objectives and outputs

Revision of the PMR indicator integrating previously separate sectoral indications and thus embodying more extensive information on sector-specific regulation
Extension of coverage of integrated PMRs to candidate countries for accession and selected non-member countries.

Non-member countries involved in the activity:

Brazil, Bulgaria, Chile, China, Croatia, Estonia, India, Indonesia, Israel, Romania, Russian Federation, Slovenia, South Africa, Ukraine
Databases
Integrated PMR indicator (1998, 2003, 2008)

Main Developments for 2010

General aspects:
Extension of coverage of integrated PMRs to India, South Africa and Indonesia.
Revisions to the professional services indicator.

Data collection:
Extension of coverage of integrated PMRs to India, South Africa and Indonesia.
Revisions to the professional services sub-indicator


2.2 Economic accounts

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.
The paper and electronic publications contain a wide selection of accounts: Main aggregates (GDP by expenditure, GDP by kind of activity, GDP by income and disposable income, saving and net lending), detailed breakdown by kind of activity for gross value added (at current and constant prices), components of value added, and gross fixed capital formation and employment. It also includes final consumption expenditure of households by purpose and simplified accounts for general government. Detailed accounts by institutional sectors are only available on the electronic publications. The publications also give comparative tables based on exchange rates and comparative tables based on purchasing power parities for OECD member countries and for the following groups: OECD, OECD-Europe and the European Union as well as volume and price indices for GDP aggregates. Data are made available to member country government agencies on OLISnet thanks to OECD.Stat and to the public through dissemination in paper publication, CD-ROM, SourceOECD, OECD.Stat and tables freely available on Internet.

Non-member countries involved in the activity:

Chile, Estonia, Israel, Russian Federation, Slovenia.

Databases

Annual National Accounts (ANA).

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:

Brazil, Chile, China, Estonia, India, Indonesia, Israel, Russian Federation, Slovenia, South Africa.

Databases

Economics Department Analytical Database

Main Developments for 2010

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. 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.

Financial Accounts

Purpose

To provide unique data sets of harmonised data on financial accounts and 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 financial transactions carried out and on 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).

Non-member countries involved in the activity:

Chile, Estonia, Slovenia.

Databases

Financial Accounts (ANA).

Main Developments for 2010

General aspects:
The database on 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.
Data for Russia as well as complements to data received from Chile and Israel will continue to be requested.
Two databases complete the Financial balance sheets for two specific sectors:

  • HOUSEHOLDS: the coverage of financial assets regarding this sector, which include a more precise classification of instruments than in the SNA, will continue to be improved; a few non-financial assets might be added to the current list; on the liability side, the new list of items, which was requested for the first time in 2009, will be amended to be better in line with the data availability in countries.
  • INSTITUTIONAL INVESTORS: the coverage of data regarding the collection of Institutional Investors' assets will continue to be improved mainly for sectors; additional information by currency as well as a few liabilities might be requested for the first time in 2010.

Detailed methodological information relating to the datasets on Household assets and liabilities, and to Institutional Investor assets, requested in 2009, as well as the information previously received for Financial accounts and Financial balance sheets hould be included in MetaStore.

Data collection:

No changes in the data collection are planned in 2010.

Historical data built/collected in the framework of WPFS activities will be added to the database as soon as countries sent them.Data for Russia will be once more requested and integrated (if provided) in the OECD databases and the complement of data which are still missing for Chile and Israel will continue to be requested.The usefulness of a quarterly data collection has been agreed by the WPFS at its 2009 meeting. Quarterly data might be collected in 2010 if resources permit.Moreover, according to the conclusions of the 2009 WPFS meeting, financial indicators based on financial accounts and balance sheets will be calculated and published.Developments in the ANA database will be necessary.

Data management:

The Quality Review of the Financial Accounts and Financial Balance Sheet is being finalised: it proposes the calculation of financial indicators based on these datasets which should be published in a new volume (the name is still to be determined: ' Financial ..... at a glance') when possible.

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.
To provide a forum for international exchange on national accounts and public finance standards in order to improve the relevance of SNA 93 and enhance international comparability of major Public finance indicators.

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:
Chile, Estonia, Israel, Russian Federation, Slovenia.

Databases
ANA - SNA
Annual National Accounts (ANA).

Household Assets and Liabilities

Purpose

This data collection aims at better knowing the households' behaviour 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

Updating of the database.
Extension of the database to additional countries.
Better coverage of the financial and non-financial assets.
Extension of the database to detailed liabilities on loans.

Non-member countries involved in the activity
Estonia, Israel, Slovenia

Databases
Household Assets and Liabilities.

Main Developments for 2010

General aspects:
It is expected to further improve the coverage (countries and assets) of the database.
The list of households' liabilities will be revised so that countries can better reply to the new request begun in 2009.
Some new non-financial assets might be added to the current list according to the reply to the questions asked to countries following decisions taken at the 2009 WPFS meeting.
The accession countries which have not yet provided data (or only part of it) will be reminded to provide OECD with household data.

Data collection:
Modifications in the list of liabilities.
Possible addition of non-financial assets to the current list.
According to conclusions of the 2010 WPFS meeting, it might also be envisaged to collect quarterly data.

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

Input-Output

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 30 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 countries for 2000 or nearest year and for the mid-1990s.
In 2008, efforts were focused on analytical studies in areas such as productivity and globalisation, particularly by linking national harmonised I-O tables with bilateral trade to produce inter-country I-O tables. This required significant work on adjusting trade data to take account of re-exports, valuation, reporting thresholds, confidential data, etc.

Non-member countries involved in the activity:

Argentina, Brazil, Chile, China, Chinese Taipei, Estonia, India, Indonesia, Israel, Russian Federation, Slovenia, South Africa.

Databases

Input-Output

Main Developments for 2010

General aspects:
New and revised tables based around the year 2005 to be released in 2010. Country coverage to be expanded to include more Asian countries and, if possible, to complete the coverage of G20.

Institutional Investors' assets

Purpose

This data collection integrated in the framework of the SNA cover 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 2008.

Non-member countries involved in the activity:

Chile, Estonia, Israel, Slovenia.

Databases

Institutional Investors' assets.

Main Developments for 2010

General aspects:
Update and improvement of the coverage.
The data relating to Russia will be once again requested, while other accession countries will be further improved so that the database contains relevant information regarding the five accession countries.
According to decisions taken at the 2009 WPFS meeting, a questionnaire has been sent to countries to have their agreement for an extension of the database to assets by currency and to a few liabilities.

Data collection:
Improved coverage of the database.
It might be envisaged to add some assets and liabilities in the 2010 questionnaire as well as to request information on more detailed investors (such as hedge funds and SPVs).
According to conclusions of the 2010 WPFS meeting, it might also envisaged to collect quarterly data.

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 BRIICS countries and incorporate these countries into the standard OECD data collection and dissemination program. While Russia is incorporated in the Quarterly National Accounts database, the remaining five non-member countries are included in the Main Economic Indicators (MEI) database. To cooperate with BRIICS countries (especially China) in the discussion and implementation of the 1993 System of National Accounts (SNA 93) and thus to improve the reliability and comparability of their national accounts. This work is coordinated with the technical cooperation and development programmes of other international organisations, and joint activities are common.

Objectives and outputs
The objective is to advance common understanding of national accounts methods and to improve the quality of national accounts data where necessary. A specific focus of this work, in particular with South East European countries, is the exhaustiveness of GDP measures and the treatment of the Non-observed economy. Co-operation with China covers a broad spectrum of national accounts issues, and will extend in 2008 with the participation of China in the standard OECD data collection/dissemination process. Cooperation with China for a bilingual version of the manual "Understanding national accounts" is also envisaged. The cooperation mostly takes the form of workshops attended by the countries' national accountants, and bilateral technical consultancies in the countries. The workshops are often held jointly with other agencies. Workshop papers, reports and methodological descriptions are made available on the OECD website.

Non-member countries involved in the activity:

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

Databases

National accounts and prices for non-member countries.

Main Developments for 2010

General aspects:
To incorporate China into the Quarterly National Accounts database.

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 and research. 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.

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 included the finalisation of the revised manual on measuring capital and the development of MFP by industry in the OECD STAN (STructural ANalysis) Database.

Non-member countries involved in the activity:

International organisation.

Databases

Productivity/capital services database.

Main Developments for 2010

General aspects:
In 2010, the database will continue to be updated regularly, with the aim to increase the number of available countries, and MFP by industry statistics related to the development of OECD STAN STructural ANalysis Database will be disseminated. Methodological developments will concern both productivity indicators at the total economy level and MFP estimates by industry.

Quarterly National Accounts

Purpose

To provide a real time update of 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.
To provide on a daily basis to external users a selection of key time series from countries' quarterly national accounts, some area totals and a consistent set of volume and price indices, for analytical purposes.

Objectives and outputs

The OECD's quarterly national accounts (QNA) database presents data collected from countries on the basis of countries' own definitions and classifications as well as of a standardised questionnaire. It contains, as from 1960 whenever possible, a wide selection of the accounts produced by the 30 member countries covering accounts at the level of the overall economy and some current and capital accounts for the institutional sectors. Work is concentrated on producing relevant, reliable, consistent, comparable and timely quarterly national accounts for member countries.
The QNA paper and electronic 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, Employment by industry, Household final consumption expenditure (current prices and volume estimates) by durability and by purpose, Institutional sector accounts and specific accounts for some countries.
New QNA data have been implemented in the database for the five accession countries: Chile, Estonia, Israel, the Russian Federation and Slovenia.

Non-member countries involved in the activity:

Chile, China, Estonia, Israel, Russian Federation, Slovenia

Databases

Quarterly National Accounts (QNA)

Main Developments for 2010

General aspects:
Implement changes made by countries to the structure of their QNA and extend the coverage of the database by the inclusion of new accounts provided by countries.
Follow new features of European Quarterly National Accounts (quarterly institutional sector accounts, flash estimates, ...).
Follow the improvements made by the NBS of China in regards to QNA data.

Data collection:
Extension of the statistical content (new accounts, new sets of chained volume estimates, new seasonally adjusted series), the country coverage (new accession countries) and the time coverage (historical series) to take account of the development of QNA made in countries.
Sending of the standard questionnaire for quarterly national accounts and quarterly sector accounts data collection to non-EU countries.


2.3 Business statistics

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.
Business Demography Indicators are now being collected formally and include indicators of birth, death and survival rates and numbers of high growth firms - all based on common concepts developed in the Eurostat-OECD Manual on Business Demography Statistics published in 2007.
In 2009, the coverage of Business Demography Statistics was improved in relation with the OECD-Eurostat Entrepreneurship Indicators Project.
A Structural and Demographic Business Statistics Publication (i.e. with information from SSIS, BSC and BD) will be issued in the beginning of 2010.
ii) A major achievement of the EIP was the publication in November 2009 of the report "Measuring entrepreneurship: A collection of indicators". The geographical coverage has been extended from 18 countries in 2008 to 23 countries in 2009. The 2009 publication extends the range of indicators significantly by calculating more detailed indicators (by industry and by size class), but also by presenting several indicators of entrepreneurial determinants. The publication also presents a first set of timely indicators for a subset of countries, and the EIP plans further research on this topic.
The fifth meeting of the Entrepreneurship Indicators Steering Group was held in June 2009, following a workshop jointly organised by the Kauffman Foundation and the EIP to discuss possible indicators on entrepreneurial finance to be included among the determinants indicators.
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 work and participate on an ad hoc basis.
The EIP was presented in several fora and meetings.
Finally, an objective for 2010 is the preparation of a publication presenting indicators from both SDBS and the EIP.

Non-member countries involved in the activity:

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

Databases

SDBS - Business Demography Indicators
SDBS - Structural Business Statistics.

Main Developments for 2010

General aspects:
Expected improvements to SBS statistics in 2010 include the extension of the country coverage in the collection of comparable business demography statistics.
Other entrepreneurship indicators will be developed and added.

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.
A publication (Indicators of Economic Globalisation) is prepared in 2010, according to the guidelines contained in the Handbook on Economic Globalisation Indicators.

Databases

Foreign Affiliates Trade in Services Database (FATS).

Main Developments for 2010

General aspects:
No major changes.

Micro-data

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, labour 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 almost 44 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, Chile, China, Chinese Taipei, Colombia, Costa Rica, Croatia, Cyprus, Ecuador, Estonia, Europe, Georgia, Hong Kong, India, Indonesia, Israel, 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.

Databases

SDBS - Structural Business Statistics.

Main Developments for 2010

General aspects:
-Extension of the OECD Orbis database to all countries and ownership data.
-Analysis of the representativeness of ORBIS data compared to official micro-data available. This will permit to highlight the value added of the new database.

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 (and associated methodological information) for OECD member countries and selected large emerging non-member economies to meet the on-going requirements of a number of internal OECD users.
To develop new international standards and the formulation of guidelines for best practice for short-term statistics.

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 key achievement was the endorsement by CSTAT of the "Compilation Manual for the Index of Services Production" (ISP) produced through the Short-Term Economic Statistics Working Party (STESWP). Application of this manual was also applied to a number of countries.

Non-member countries involved in the activity:

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

Databases

MEI_REAL

Main Developments for 2010

General aspects:
A key issue will be to expand the range of services output indicators contained in the MEI database and presenting analysis of this data to STESWP. Discussions would focus on the relative quality of data across countries and the key uses that can be made from it. In this regard, it will be important to engage the Central Banking Community.


2.4.1 Agriculture, forestry, fisheries

Agricultural Outlook

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 and dairy products 2019.

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:

Argentina, Brazil, China, Other.

Databases

The Agricultural Commodities Database.

Main Developments for 2010

General aspects:
The main change in 2010 is a full review of the parameters, coefficients and equations of the Aglink-Cosimo model used to generate the long term projections of temperate zone agricultural markets. The model increased coverage of oilseeds commodities.

Producer and Consumer Support Estimates in Emerging Economies

Purpose

To collect and prepare data for estimation of support to agriculture (based on indicators of Producer and Consumer Support Estimates, PSE/CSE) and for key macroeconomic and agricultural indicators, for papers, publications, meetings of the Global Forum on Agriculture and for various technical meetings in 2010 and 2011.

Objectives and outputs

To update basic agricultural data for emerging economies for which there has been an OECD review of agricultural policies. To provide a set of internationally comparable estimates of support to agriculture (the PSE/CSE database) for these countries applying the same methodology used for OECD members. The PSE database is used by the governments of both OECD member and non-member countries, international organisations, such as IMF and WTO, as well as researchers and universities. It is of particular interest in the context of the OECD accession and enhanced engagement initiatives.

Non-member countries involved in the activity

Brazil, Chile, China, India, Israel, Russian Federation, South Africa, Ukraine.

Databases

Measuring support to agriculture in emerging economies.

Main Developments for 2010

General aspects:
Following the release of the Reviews of Agricultural Policies in Brazil, Chile, China, Israel and South Africa, PSE databases have been created for these countries. These databases are updated regularly, together with the existing databases for Russia and Ukraine and made available in a Monitoring publication every other year and through the OECD internet web site.

Data collection:

Israel will be included.

Producer and Consumer Support Estimates in OECD Countries

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" 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, to reflect changing policy priorities and policy measures implemented in OECD countries, has been implemented in the 2007 Agricultural Policies in OECD countries Monitoring and Evaluation report. The database has been remodelled to account for this change in the classification of agricultural policies as agreed with OECD countries.

Non-member countries involved in the activity:

Cyprus, Estonia, Latvia, Lithuania, Malta, Slovenia.

Main Developments for 2010

General aspects:
No major changes.

Review of Fisheries in OECD Countries - 2010

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 2010

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

Steel

Purpose
To meet the mandate of the OECD Steel Committee and provide the statistical background needed for policy discussions in the Committee.

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:

Argentina, Brazil, Bulgaria, China, Chinese Taipei, India, Malaysia, Other, Romania, Russian Federation, Slovenia, South Africa, Ukraine.

Main Developments for 2010

General aspects:
The statistical work carried out to support the efforts of the OECD Steel Committee will be enhanced through cooperation with steel statistical providers from around the world.


2.4.4 Transport

Annual Transport Statistics

Purpose

To provide an annual publication presenting disaggregated 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 a questionnaire common to three international organisations: Eurostat, ITF and UNECE.
Data cover topics such as investment, infrastructure, rolling stock, human resources, traffic and energy consumption for different inland transport modes.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Canada, Croatia, Estonia, Georgia, Israel, Kazakhstan, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Slovenia, Tajikistan, Turkmenistan, Ukraine, United States, Uzbekistan.

Databases

Transport Statistics - Common Questionnaire.

Main Developments for 2010

General aspects:
Due to co-ordination problems between the three international organisations (Eurostat, ITF, UNECE) this publication has been put on hold. The new WEB data collection developed by Eurostat should improve the whole process and allow for a new dissemination of data in 2010, which will include road accident statistics.

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 2010

General aspects:
No major changes.

Investment in Transport Infrastructure

Purpose

To provide an annual update of statistical information in 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, Estonia, 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 2010

General aspects:
Data quality will be 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, Estonia, 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 2010

General aspects:
Starting with the publication of the 2nd quarter of 2009 results, an analytical report based on seasonally adjusted data is published each quarter published with the data on the ITF WEB site.

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. The publication covers all transport modes including maritime and air.

Non-member countries involved in the activity:

Albania, Armenia, Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Croatia, Estonia, Georgia, Latvia, Liechtenstein, Lithuania, Macedonia, Malta, Moldova, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Slovenia, Ukraine.

Databases

Transport Sector Trends - Leaflet.

Main Developments for 2010

General aspects:
No major changes.


2.4.5 Tourism

Purpose

To meet the 2007-2011 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 2010, the second edition of "OECD Tourism trends and policies 2010" will be published in February. It will contain augmented statistical data on member and selected non-member countries. These data will be collected by two methods: a questionnaire will be addressed to countries; data on tourism enterprises and other areas will be extracted from the OECD structural 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 Q4 2010, the OECD in cooperation with Eurostat and the Portuguese authorities (INE and Ministry in charge of Tourism) will co-organise the 10th International Forum on Tourism Statistics.

Non-member countries involved in the activity:

Brazil, Chile, China, Egypt, Estonia, India, Indonesia, Israel, Romania, Russian Federation, Slovenia, South Africa.

Databases

Tourism

Main Developments for 2010

General aspects:
The OECD will continue to participate in the Inter-Agency Coordination Group on Tourism Statistics (UNWTO, Eurostat, ILO, etc.).


2.4.6 Banking, insurance, financial statistics

Accession examinations of candidate countries (insurance and private pensions statistics)

Purpose

To examine the ability of candidate countries to complying with the OECD statistics' framework related to insurance and private pensions' statistics. Both frameworks require the candidate countries to complete the statistical questionnaires on an on-going basis. Therefore, prior to disseminating any data, quality checks should be undertaken in order to identify possible limitations from the current framework and ways and means to address them should be considered, as appropriate.

Objectives and outputs

The Insurance and Private Pension Committee (IPPC) through its Working Party on Private Pensions and its Task Force on Insurance Statistics has continued the examination on the positions of accession countries (Chile, Estonia, Israel, Slovenia and Russia) and, as appropriate, provide assessment reports to the IPPC and its WPPP.

Non-member countries involved in the activity:

Chile, Estonia, Israel, Russian Federation, Slovenia.

Main Developments for 2010

General aspects:
More in-depth analysis of country responses to statistical questionnaires should be carried out in 2010.

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. Quantitative information on the structure of the financial system of individual countries is also included. The coverage of these annual statistics is largely dictated by the availability of the national data on income and expenditure accounts of banks. As a result of reporting methods, they are not integrated in the System of National Accounts. In spite of some differences due to structural and regulatory features of national banking systems, accounting rules and practices and reporting methods, the statistics are based on a standard framework where national data are grouped and/or re-classified, as required. Methodological notes complementing the data are regularly revised. They also provide additional information to analysts, such as the regulatory framework and the activities of banks in each country.

Non-member countries involved in the activity:

Chile, Estonia, Israel, Slovenia.

Databases

Bank Profitability - Financial Statements of Banks.

Main Developments for 2010

General aspects:
Despite the countries' replies to the survey on the availability and usefulness of new items regarding income statement and balance sheets of various categories of banks and new banking ratios based on these new items, and because of difficulties in the co-operation with the IMF, it was decided to maintain the current data collection in 2009 but to calculate more relevant indicators and include them in the 2010 publication.
The 2010 questionnaire should be based on the new list of items, based on the IFRS adopted by a large majority of OECD countries.
The collection of data relating to Russia will be relaunched so that the OECD database contains information regarding the five accession countries.

Data collection:
According to the countries' replies to the survey on availability and usefulness of items and ratios sent in November 2008, the questionnaire will be modified and sent to countries to collect 2009 data. The possibility of providing data using the SDMX format will be proposed to countries.
The new questionnaire will also be sent to accessing countries.
The StatWorks database will be modified accordingly to include all new items as well as new ratios: this will necessitate IT developments.

Data management:
This database will have to be restructured in StatWorks in 2010 to integrate the changes in the list of items and ratios.
The methodological notes, currently available as WORD documents, should be integrated in MetaStore if resources permit.

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.
In 2009, one pension fund participated in the pilot survey to test the questionnaire. In 2010, around 30 pension funds around the world should be included in the study.

Feasibility study of estimating coverage, contributions and benefits from privately managed pensions

Purpose

The main goal of this research is to assess publicly available data sources and to examine ways and means to make better use of available administrative data and micro datasets at national and
international levels in order to be able to estimate (in a future project) levels of private pension coverage, contributions and benefits.

Objectives and outputs

The main objective of this research is to assess and examine how to combine the information in publicly available sources of data that could be used in an extension of the project to build key internationally
comparable indicators of coverage, benefits and contributions in private pension systems and to evaluate them.
This research consists of:

  • identifying and comparing publicly available administrative, survey or micro datasets in all EU Member states and selected non-EU OECD countries from which it could be envisaged to calculate or estimate a list of indicators pertaining to coverage, contributions and
    benefits by socio-economic status
  • identifying the variables that exist in those datasets that allow calculation or estimation of selected indicators and examining the level of disaggregation of the information on private pension plans and possible variations in definition, timeliness and scope
  • examining existing exercises to reconcile macro and micro data
  • identifying possible methodological limitations that could jeopardise data quality
  • further develop contacts with the relevant international and national entities (e.g. Eurostat, National Statistical Offices, etc.) in order to facilitate data acquisition and quality checks
    The research has been initiated in 2009 and the preliminary results have been presented during the December meeting of the WPPP. A preliminary report will be circulated in July 2010.

Non-member countries involved in the activity:
Bulgaria, Chile, Cyprus, Estonia, Latvia, Lithuania, Malta, Romania, Sloveni.

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 as part of its substantive work and supporting international efforts, the OECD Insurance and Private Pensions Committee decided the continuation of the collection of data that were collected in the special crisis questionnaire on an on-going basis; and, to augment the current standard questionnaire to provide 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, and to do so in a timely manner.

Objectives and outputs

A special statistical questionnaire on the impact of the financial crisis on the insurance sector, including variables pertaining to financial strength and profitability of the insurance sector, was developed. This questionnaire was mainly composed of new items. It also combined the variables from the fast-track questionnaire.

Non-member countries involved in the activity

Estonia, Israel, Russian Federation.

Databases

Insurance.

Main Developments for 2010

General aspects:
Following the success of the pilot phase, the IPPC has decided to pursue its implementation on an ongoing basis. Additional funding is currently being sought for this multi-year undertaking.
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.

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

Chile, Colombia.

Main Developments for 2010

General aspects:
No major changes.

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, Security Issues, 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.
The Financial Indicators unit is responsible for the NME work in the MEI and achievements in 2008 in this area comprised: substantial expansion in the range of indicator series (and their associated metadata) in MEI including several series in Part 1 country comparison tables for BRIICS; creation of a specific OECD.Stat dataset bringing together all QNA data for BRIICS NMEs together with associated metadata.

Non-member countries involved in the activity

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

Databases

MEI_FIN

Main Developments for 2010

General aspects:
No major changes.


2.5 Government finance, fiscal and public sector statistics

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 CFA/WP9 delegates on the table of contents (approved in March 2009); Obtain data from member countries (January 2010); Analyse data (February-March 2010); Drafting & special features (April-May 2010); Edition process (June-September 2010); Publication: September 2010.

Databases

Consumption Tax Trends.

Main Developments for 2010

General aspects:
Compared to 2008 Edition, Chapter on Special Features will change (2010 topic: Application of Value Added Taxes in federal countries). Methodological amendments will be brought to the calculation of the VAT Revenue Ratio.

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 30 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 2009 edition of the statistical yearbook, more series on ultra long-term bonds and on index-linked bonds have been added in all tables by country.
In the OECD data warehouse "OECD.Stat", the hierarchy of the dimension "Variables" was modified to facilitate users' understanding; the import parameter file used to import data from the Excel questionnaire to StatWorks was transformed from an Excel file to an XML file and the dimension "Frequency" that contains only one element was removed.
Accession countries' data were checked and stored in the database.

Non-member countries involved in the activity

Chile, Estonia, Israel, Slovenia.

Databases

Central Government Debt Statistics.

Main Developments for 2010

General aspects:
Collection and publication of 2009 data.
The implementation of Statlinks.

Data collection:
Data of accessing countries and 2009 data.

Data management:
All coordinates in MetaStore were modified as the dimension "Frequency" of the dataset was removed.

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.

Objectives and outputs

Collection of two datasets:

  • indicators of tax autonomy of sub-central governments
  • indicators of the composition of intergovernmental grants

Databases
Fiscal decentralisation.

Main Developments for 2010

General aspects:
Data will be available on OECD.Stat.

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.
Access to OECD private pension statistics has been enhanced through the dissemination of additional data and selected indicators through the OECD Web statistical portal (OECD.Stat). This should be further enriched with the inclusion of country profiles providing key indicators on a country per country basis. As far as paper publications are concerned, the "Private Pensions Outlook 2008" and the newsletter "Pension Markets in Focus" were released in February 2009 and October 2009 respectively. Contributions to other OECD publications (e.g. 'OECD in figures', 'OECD Factbook') will continue in 2010 as well as approximately sixty country profiles generated for the IOPS Web site on a yearly basis.

Non-member countries involved in the activity:

Albania, Bolivia, Brazil, Bulgaria, Chile, China, Chinese Taipei, Colombia, Croatia, Estonia, Hong Kong, India, Indonesia, Israel, Kazakhstan, 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 2010

General aspects:
With respect to quality improvements, the work in 2010 will focus on further improving data completeness for certain financing vehicles (e.g. pension insurance contracts, book reserves), by pension plan and fund types (e.g. data pertaining to personal plans, DB vs. DC) and also across selected variables (e.g. foreign investments, operating costs). Special attention will be dedicated to come up with a thorough understanding of the exact coverage of certain investment classes.
Selected methodological issues will also be addressed. One area of focus will be valuation methods for assets and liabilities, investment performance and funding ratios, comparing national experiences with international standards. Specific issues, such as the valuation of hard-to-value assets and derivatives may also be examined.

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 2010

General aspects:
The addition of figures for countries joining the OECD.
Re-drafting the commentary on the latest figures.

Data collection

Addition of accession countries joining OECD before the start of the data collection round.

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.

Main Developments for 2010

General aspects:
Inclusion of graphs showing average tax wedges across the income distribution for a set of hypothetical families. Also inclusion of data on new member countries.

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 2010

General aspects:
Inclusion of data for new member countries.

Comparison of Employment and Costs in the Public Domain

Purpose

In collaboration with ILO, to assemble statistical data regarding employment in the public sector and in the "public domain", by taking into account different kinds of organisations (also public enterprises or private organisations financed by public funds), comparing them with the costs of production of the General Government Sector, in order to elaborate the main indicators and to gain a comprehensive overview of the evolution of the public sector.

Objectives and outputs

To update the 2008 publications on "The State of the Public Service" and "Employment in the public domain in the perspective of the production costs of goods and services in the public domain".

Databases

Public Sector Employment, Pay and Salaries.

Main Developments for 2010

General aspects:
More detailed metadata.

 

Management in Government

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 second edition of "Government at a Glance" will be released in 2011. It will include measures of both the market and non-market activities of government and government-owned enterprises. In addition it will also measure other activities which are undertaken outside of general government but which are wholly or partly funded by government. Data are based on general government labour statistics and on detailed information from general government national accounts (investments, public corporations, supply and use tables) and information collected by GOV surveys on governance and public output processes and their results. The second publication will include six categories of variables: revenues; inputs; public sector processes; and antecedents or constraints that contextualize government performance and will also add output and outcome measures for the "whole of government", for selected policy sectors and for the machinery of government.

Non-member countries involved in the activity

Brazil, Chile, China, Estonia, India, Indonesia, Israel, Russian Federation, Slovenia, South Africa.

Main Developments for 2010

General aspects:
In 2010 the main priorities are developing new indicators for the second edition of Government at a Glance and the development of a strategy in the long run for new data collection, including more measures about the quality of public sector processes and selected output and outcome measures.

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, an online "tax-benefit calculator" has now been made available on the web-page www.oecd.org/els/social/workincentives and will be maintained and updated in the future.

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 extensions include calculation of incomes and work incentives net of childcare costs. Country coverage were recently extended to include Turkey and, as part of a grant agreement with the European Commission, six of the new EU Members States who are not currently members of the OECD. Preliminary models have been developed for Candidate Countries and new members will be fully integrated into the database. Finally, ad-hoc 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. It will be maintained and updated in the future.

Non-member countries involved in the activity

Bosnia and Herzegovina, Bulgaria, Chile, Cyprus, Estonia, Israel, Latvia, Lithuania, Macedonia, Malta, Republic of Serbia, Romania, Russian Federation, Slovenia.

Databases

Benefits and Wages.

Main Developments for 2010

General aspects:
Improved modelling of child-related policies, including transfers available to parents of very young children (e.g. maternity benefits). Improved modelling of the gender dimension of social policies (e.g. by collecting better earnings data for men and women).

Data collection:
include Bulgaria, Romania, Chile, Israel, Russia


2.6 International trade and balance of payments

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. Test and implement the new typology of aid.
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 2010

General aspects:
Continue work started in 2005 to review reporting requirements to converge the CRS and the DAC aggregate data collection.
Test and implement new typology of aid agreed by the Working Party on Statistics in June 2008.

Data collection:
Test data collection in new format, merging CRS and DAC systems.

Data management:
Implementation of the new typology of aid.

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 2010

General aspects:
Further strengthening the methodology to derive CPA and make sectoral CPA data available online via OECD.STAT and QWIDS.

 

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 2010

General aspects:
Continued reform of DAC statistics, through implementation of new classification of aid, 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.

Data collection:
Test and implement new typology.

Balance of Payments

Purpose

To collect and publish timely, accurate and internationally comparable Balance of Payments statistics to meet OECD user needs.

Objectives and outputs

To provide timely summary quarterly statistics on Balance of Payments and OECD international trade in goods and services and Foreign Direct Investment. 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.

Non-member countries involved in the activity

Brazil, Chile, China, Estonia, India, Indonesia, Israel, Russian Federation, Slovenia, South Africa.

Databases

Balance of Payments

MEI_BOP

Main Developments for 2010

General aspects:
Continued improvement in quality checking, coherence and timeliness of BOP dataset and metadata. Completion of core set of variables for all countries covered.
Promote visibility of the data on OECD.Stat and in MEI publication. Production of quarterly tables for OECD international trade in services trade and foreign direct investment.
Contribute as appropriate to work of technical groups working on Balance of Payments and associated subjects, such as the Luxembourg Group work on a compilers manual on remittances.
Review and update OECD estimates of the pattern of world flows of remittances. Collect and publish data on remittance flows and as far as possible on the main corridors of these flows, in coordination with Eurostat.
Contribute as required to the work of the WP on trade in goods and trade in services statistics.

Data collection:
Improve the efficiency and timeliness of data collection. Find new data for non member countries.

Benchmark Definition of Foreign Direct Investment

Purpose

To set standards on how foreign direct investment data should be compiled according to international standards. Internationally comparable data, based on these concepts, makes it possible to measure the degree of economic integration and competitiveness of markets.

Objectives and outputs

Following the Council recommendation of 2008:
(i ) to continue work on Research Agenda;
(ii) To promote exchange of best practices and information between countries to facilitate implementation of BMD4 standards to improve FDI statistics;

Non-member countries involved in the activity:

Albania, Argentina, Armenia, Asia, Australia, Austria, Azerbaijan, Belarus, Belgium, Bolivia, Bosnia and Herzegovina, Brazil, Bulgaria, Canada, Chile, China, Chinese Taipei, Colombia, Croatia, Cyprus, Czech Republic, Denmark, Ecuador, Estonia, Europe, European Commission, Finland, France, Georgia, Germany, Greece, Hong Kong, Hungary, Iceland, India, Indonesia, International organisation, Ireland, Israel, Italy, Japan, Kazakhstan, Korea, Kyrgyzstan, Latvia, Liechtenstein, Lithuania, Luxembourg, Macedonia, Malaysia, Malta, Mexico, Moldova, Mongolia, Morocco, Netherlands, New Zealand, Norway, Other, Peru, Poland, Portugal, Republic of Montenegro, Republic of Serbia, Romania, Russian Federation, Serbia and Montenegro, Singapore, Slovak Republic, Slovenia, South Africa, Spain, Sweden, Switzerland, Tajikistan, Thailand, Turkey, Turkmenistan, Ukraine, United Kingdom, United States, Uruguay, Uzbekistan, Venezuela.

Main Developments for 2010

General aspects:
- Establishing a clear communications policy for data users on revised FDI definitions and concepts;
- Implementing an electronic version of the recommendations and practical examples, etc.
- Providing regional and other assistance as appropriate to national compilers.

FDI statistics -Review of OECD accession candidate countries

Purpose

To review the position of the OECD accession candidate country vis-a-vis the Benchmark Definition of Foreign Direct Investment, 4th edition and related reporting requirements as set out in the Accession Roadmap.

Objectives and outputs

Contribution to Investment Committee's examination of the willingness and the ability of the accession candidate country to assume the obligations of OECD membership in its field of competence.

Non-member countries involved in the activity:
Russian Federation.

Foreign Direct Investment

Purpose

To compile and disseminate regularly reliable and up-to-date Foreign Direct Investment (FDI) statistics which are essential for a meaningful interpretation of investment trends for the purpose of policy analysis and decision. FDI statistics provide a reliable and comprehensive source of information to OECD governments, potential investors and the public at large. They also provide the basis for periodical analyses of direct investment trends and of policies towards international direct investment in OECD member countries.

Objectives and outputs

FDI statistical series provide detailed information on inward and outward FDI flows and positions to and from OECD countries. The information is based on a standard presentation designed according to internationally agreed standards (joint OECD-EUROSTAT questionnaire based on the OECD Benchmark Definition of Foreign Direct Investment and the IMF Balance of Payments Manual). Comparative tables and charts by geographical and sectoral breakdowns for direct investment flows and stocks complement the information included for individual countries.
Statistics are also included regularly or as required for trends analysis, to monitor foreign investment activities, country reviews, etc. Data and analysis are mainly published annually in two distinct publications: OECD International Direct Investment Yearbook and International Investment Perspectives. Data are also provided on OECD.Stat for wider usage by OECD analysts.

Non-member countries involved in the activity:

Argentina, Brazil, Chile, China, Estonia, Hong Kong, India, Israel, Russian Federation, Slovenia, South Africa.

Databases

Foreign Direct Investment.

Main Developments for 2010

General aspects:
The database will be upgraded to include the revised methodological recommendations included in the OECD Benchmark Definition of Foreign Direct Investment. This upgrading will allow including data according to BMD4 which countries may report in 2010 for the reference year 2009.

Data collection:
Data collection on the basis of the revised questionnaires and using the electronic questionnaire where countries are not applying GESMES.

International Trade Indicators

Purpose

To measure globalisation in the context of international trade, for the levels of total trade (goods and services), trade of goods and trade of services. Some of the indicators refer to aggregated levels while other ones differentiate according to types of commodities traded, to types of services delivered or to types of economic activities involved.

Objectives and outputs

Extension of the indicators present in the database.
Update of existing indicators.

Non-member countries involved in the activity:

Brazil, Chile, China, Chinese Taipei, Estonia, India, Indonesia, Israel, Russian Federation, Slovenia, South Africa.

Main Developments for 2010

General aspects:
Extension of a number of indicators in response to identified, globalisation-related statistical needs.
Improvement of timeliness of data updates, extension of FAME-based calculation and updating procedures to more indicators.

Survey of Implementation of Methodological Standards for Direct Investment- 2nd edition (SIMSDI-2)

Purpose

The primary purpose of SIMSDI, in accordance with the OECD Council recommendation of 22 May 2008 (and of 1995), is to regularly review national practices applied by OECD and non-OECD countries to compile foreign direct investment (FDI) statistics and to provide an objective benchmarking tool to assess the extent of the implementation of international standards recommended by the OECD and the IMF. SIMSDI also provides comprehensive detailed metadata for the users of FDI statistics. SIMSDI is the assessment tool of the Benchmark Definition of Foreign Direct Investment.

Objectives and outputs

SIMSDI, based on a standard questionnaire, allows compiling comprehensive and detailed metadata individually for all OECD and a large number of non-OECD countries. Standard information allows bilateral comparisons and provides, to a large extent, the underlying differences that explain the cross-country discrepancies in FDI statistics. SIMSDI allows monitoring the methodological improvements over time of the countries included in the survey. SIMSDI also provides valuable information to OECD for the revision of international methodological standards, namely on the difficulties experienced by national compilers when implementing some of the recommendations or the relevance/irrelevance of some guidelines as economic factors may change over time. SIMSDI results are analysed in "Foreign Direct Investment Statistics: How countries measure FDI" (OECD and IMF countries) and in How South Eastern Countries Measure FDI Statistics".
The SIMSDI questionnaire was revised to incorporate the revisions of the Benchmark Definition of Foreign Direct Investment, 4th edition.

Non-member countries involved in the activity:

Chile, Estonia, Israel, Russian Federation, Slovenia.

Main Developments for 2010

General aspects:
Complete the creation and implementation of the SIMSDI database in a new IT environment. Incorporate data capturing features which can be accessed by reporting countries.

Trade by enterprise characteristics

Purpose

To measure, on the one hand, the contribution of real economic sectors to trading, 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, the United States and Norway. In addition, Eurostat provided OECD with the respective (published) data tables of several EU member states for reference year 2003. 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.

Main Developments for 2010

General aspects:
In 2010, the data collection will include more recent reference years, in co-operation with Eurostat. The next BEST Steering Group meeting (to be hosted by the OECD in April 2010) will be the crucial point to fix the next steps for the continuation and expansion of this database. It is envisaged to include more non-EU OECD member countries as reporters to the dataset (this depends, of course, on the capability and the willingness of the countries to perform this linkage exercise and, thus, to provide the respective data). An extension to services is envisaged, based upon new developments in selected countries.

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. The 2009 ITS expert meeting attracted 130 participants.
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, Estonia, Israel, Russian Federation, Slovenia.

Databases

International trade by Commodity Statistics.
Monthly Statistics of International Trade.

Main Developments for 2010

General aspects:
In 2010, 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 2009 and efficiency results have been gained thanks to the new server and new architecture of ITCS on OECD.Stat which resulted in better performances and better timeliness (through the implementation of a direct link between ITCS and OECD.Stat).
The team will continue working on files data and metadata files received in the context of the accession of the new members to the OECD. Upload of data files into the database will be dealt with in the context of all the other priorities.
It is planned to introduce the new ICT grouping into the database when the content of it agreed upon at the STI spring WP.

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 30 member countries. Data are based on the concepts of the IMF's 5th Balance of Payments Manual and are broken down according to the detailed EBOPS Classification of Trade in Services. The publication "OECD Statistics on International Trade in Services - Detailed Tables by Partner Country" provides bilateral service trade flows for 28 member countries, Hong Kong SAR and Russian Federation.
Coordinate the work of the Interagency Task Force on Statistics of International Trade in Services including the submission of the "The Manual on Statistics of International Trade in Services" (MSITS 2010) to the UNCS in 2010. Produce report to the UNSC. Start work on compilation guidance.
Contribute to organisation of the WP on trade in goods and trade in services statistics.

Non-member countries involved in the activity:

Brazil, Chile, China, Estonia, India, Indonesia, Israel, 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 2010

General aspects:
Promote SDMX for exchanging trade in services data.
Facilitate to the extent possible links between the classifications EBOPS and ISIC.
Coordinate with other agencies and agree final proposals for the revised Manual on Statistics of International Trade in Services - after full consultation with OECD members.
Expand published trade in services data by partner country using new facilities in StatWorks and OECD.Stat. Improve the timeliness, with rolling updates, and detail of published data. Monitor progress in the implementation of MSITS recommendations. Contribute to revision work of BPM6, where it is related to trade in services.
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.

Data collection:
Pursue rolling update of trade in services by partner country data as data become available. Countries that are sent an excel questionnaire to will be asked to fill in. A second best would now be for them to provide us with their data in an SDMX format.

Intra-firm trade

Purpose

To create a dataset of intra-firm trade among OECD countries for TAD report on "Intra-firm trade and investment".

Objectives and outputs

The project will start in 2010.

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:

Russian Federation, Slovenia.

Databases

Monthly Statistics of International Trade (MSIT).

Main Developments for 2010

General aspects:
Following the recommendations of the WPTGS and the work carried out by the Secretariat, it is planned for 2010 to continue work on implementation of the methodological questionnaire results; advance total trade data submission to MSIT to feed into MEI in a timely manner (after aligning methodologies between MSIT and MEI) and to produce identical, consistent monthly trade aggregate figures in the two publications; expand scope of countries to include the 5 Accession countries with help from additional resources marked to that effect.

Services Trade Restrictiveness Index

Purpose

To update the database created for the Services Trade Restrictiveness Index project of the Trade Committee.

Objectives and outputs

Three datasets have been created at the bilateral by sector level:

  • Cross-border trade in services
  • FDI stocks
  • FATS statistics

Non-member countries involved in the activity:
Chile, China, Estonia, India, Indonesia, Israel, Russian Federation, Slovenia, South Africa.

Main Developments for 2010

General aspects:
Data will be updated and completed.


2.7 Prices

Price Indicators

Purpose

To provide a set of relevant, reliable, timely, monthly and quarterly 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) publication and database contains statistics on Consumer prices, Producer prices and Construction costs for 30 OECD member countries, 6 Accession countries 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.
Organisation of Seminars to discuss methodological issues. A manual on real estate prices will be written.

Non-member countries involved in the activity:

Brazil, Chile, China, Estonia, India, Indonesia, Israel, Russian Federation, South Africa.

Databases

MEI
MEI_PRICE

Main Developments for 2010

General aspects:
For CPI, finalisation of the implementation of chain-linking calculation for all specific country aggregates and zones.

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

Calculation of preliminary results for the round 2008- detailed results to be finalised b y the end of 2010
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.
Organisation with ELS of an OECD Task Force on specific PPPs for health.
Participate in the ad-hoc task forces set up by Eurostat to discuss various issues associated with PPPs (on 2010, integrated database and construction).

Databases
ANA
Purchasing Power Parities

Main Developments for 2010

General aspects:
Improvement of PPPs for health.
Organise a meeting in Paris with non-European OECD countries ("The Pacific Group") to have closer relationships with countries at all stages of the round.
Provide technical input into the 2011 round of the ICP currently being organised by the World Bank.


2.9 Science and technology

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 was developed to provide a consistent data set that overcomes the problems of international comparability and breaks in the time series of the official business enterprise R&D by industry provided to the OECD by its member countries through the OECD's R&D survey.

Non-member countries involved in the activity:

Chile, China, Chinese Taipei, Israel, Romania, Russian Federation, Singapore, Slovenia, South Africa.

Databases

Analytical Business Enterprise Research and Development (ANBERD)/ Analytical Researchers, Scientists and Engineers (ANRSE).

Main Developments for 2010

General aspects:
Country coverage was expanded in 2009, along with the methodological notes. This work will be continued in 2010.

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.

Non-member countries involved in the activity:

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

Main Developments for 2010

General aspects:
Methodological work on measuring biotech activities in the higher education and government sector. Revision of the OECD biotech definition.

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 9 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, Israel, Romania, Russian Federation, Singapore, Slovenia, South Africa.

Databases

Main Science and Technology Indicators.

Patents

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 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 broken at the regional level.
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 a freely available annual Compendium of Patent Statistics.
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 was released in February 2009.
First results of a matching exercise, between patent data and firm level databases, were presented at WPIA and NESTI meetings held in 2009. A database on harmonised patent applicant's names (HAN) was made available to researchers in October 2009.
Analyses using Trademark data were presented at WPIA meetings in 2009, and a dedicated workshop was held at the OECD in July 2009.
Regular workshops on patent statistics are jointly organised by OECD, EPO, WIPO and Eurostat.

Databases

Patent Statistics.

Main Developments for 2010

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.
Patent based indicators and analyses expected to make contribution to OECD Innovation Strategy. Increased use by other directorates (e.g. ENV, GOV and IEA) expected in 2010.
Further work to develop Trademark data are also expected.

Data management:
Add a section on patent indicators at regional level (TL3) in OECD.Stat.

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 nine 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, Israel, Romania, Russia, Singapore, Slovenia, South Africa and Chinese Taipei.

Non-member countries involved in the activity:

Argentina, Chile, China, Chinese Taipei, Israel, Romania, Russian Federation, Singapore, Slovenia, South Africa.

Databases

Research and Development Statistics (RDS).

Main Developments for 2010

General aspects:
Plan to implement ISIC Rev. 4.

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 nine 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, Israel, Romania, Russian Federation, Singapore, Slovenia, South Africa.

Databases

R&D_SM database.

Main Developments for 2010

General aspects:
The database will be made available to the public.


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