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Labour Force Survey
The World Bank, in conjunc= tion with UNDP and DFID, is providing assistance in the preparation and imp= lementation of a national Labour Force survey in Bosnia and Herzegovina. = p>
Household Income and Expenditure
Database on Household Expenditure and Income Data for Transitional Econo= mies developed as part of a project analyzing poverty and social assistance= in the transition economies. The data addresses critical questions, such a= s the group most likely to be poor, how well social assistance programs rea= ch the most needy, and the kinds of programs that would most effectively re= duce poverty (http://go.worldbank.org/KTN5N3L4H0)=20
The World Bank's Development Economics Vice Presidency and the World Ban= k Institute produces the annual database Worldwide Governance Indicators (W= GI). The WGI estimates six dimensions of governance covering 212 countries = and territories for 1996-2008: Voice and Accountability, Political Stabilit= y and Absence of Violence/Terrorism, Government Effectiveness, Regulatory Q= uality, Rule of Law, and Control of Corruption. The latest aggregate indica= tors are based on hundreds of specific and disaggregated individual variabl= es measuring various dimensions of governance, taken from 35 data sources p= rovided by 33 different organizations. Individual measures of governance ar= e assigned to categories capturing key dimensions of governance, and use an= unobserved components model to construct six aggregate governance indicato= rs. Both point estimates of the dimensions of governance as well as the mar= gins of error are presented for each country. These margins of error are no= t unique to perceptions-based measures of governance, but are an important = feature of all efforts to measure governance, including objective indicator= s. The WGI also addresses various methodological issues, including the inte= rpretation and use of the data given the estimated margins of error, signif= icance of changes over time, and correlation between governance and income.= See the World Bank Institute's Governance website at: http://www.govindicators.org= a>.=20
The Country Policy and Institutional Assessment exercise is carried out = annually by World Bank Staff. Numerical scores of International Development= Association (IDA) eligible countries, known as the IDA Resource Allocation= Index (IRAI) were first publicly disclosed in June 2006. Country performan= ce is assessed against a set of 16 criteria grouped in four clusters: econo= mic management, structural policies, policies for social inclusion and equi= ty, and public sector management and institutions. See the IRAI database at= htt= p://go.worldbank.org/S2THWI1X60.=20
Gross National Income
Atlas GNI per Capita
=E2=80=A2 The World= Bank estimates dollar converted gross national income (GNI) per capita for= all borrowing member countries, as well as most other economies;
=E2= =80=A2 Per capita GNI for a country in local currency terms is converted in= to U.S. dollars by applying the Atlas conversion factor. The Atlas conversi= on factor is the simple arithmetic average of the current exchange rate and= the exchange rates in the previous two years adjusted for the ratio of dom= estic to international inflation. The change in the GDP-deflator is used as= a measure of domestic inflation, and the change in the SDR-deflator to rep= resent international inflation. The SDR-deflator is compiled as a weighted = average of the EURO-area, United States, United Kingdom and Japan's GDP-def= lators;
=E2=80=A2 The purpose of applying the Atlas conversion factor= is to lessen the effect of fluctuations and abrupt changes in the exchange= rate, which can be heavily affected by capital flows. Thus, income measure= s converted using the Atlas conversion factor tend to be more stable over t= ime, and changes in income rankings are more likely to reflect changes in r= elative economic performance than exchange rate fluctuations.
National Accounts<= /span>=20
The Bank continues its collaboration with the UN, IMF, OECD, and EUROSTA= T through the Inter-Secretariat working group on national accounts (ISWGNA)= . The ISWGNA currently finished the work on updating the SNA, and Volume 2 = of 2 of the revised SNA, SNA 2008. was formally approved by the UN Statisti= cal Commission in February 2009. This project has been underway since 2003 = and managed by 5 organizations including IMF, Eurostat, OECD, UN, and the W= orld Bank. The project team hosted by Development Data Group of the World B= ank delivered a revised SNA 2008 Manual after extensive worldwide consultat= ions, research, and consensus building among countries and international or= ganizations. The SNA 2008 is cosigned by the heads of 5 agencies and will b= e translated to all UN languages. The World Bank will play an important rol= e in assisting developing countries to implement the SNA 2008.=20
The World Bank/International Finance Corporation's Doing Business databa= se provides objective measures of business regulations and their enforcemen= t. The Doing Business indicators are comparable across 183 economies. They = indicate the regulatory costs of business and can be used to analyze specif= ic regulations that enhance or constrain investment, productivity and growt= h. Topics include: starting a business, dealing with construction permits, = employing workers, registering property, getting credit, protecting investo= rs, paying taxes, trading across borders, enforcing contracts, and closing = a business. See the Doing Business website: http://www.doingbusiness.org/=20
The World Bank collects data on the business environment in 125 countrie= s based on surveys of more than 100,000 firms. The surveys provide indicato= rs of firm productivity and performance. Topics include: regulations and ta= xes, permits and licenses, corruption, crime, informal sector, gender, fina= nce, infrastructure, innovation, trade, and work force. See the Enterprise = survey website: http://www.enterprisesurveys.org=20
=E2=80=A2Private Participation in Infrastructure (PPI)<= /p>=20
The PPI Project Database has data on more than 4,300 projects in 137 low= - and middle-income countries. The database is the leading source of PPI tr= ends in the developing world, covering projects in the energy, telecommunic= ations, transport, and water and sewerage. See the PPI database: http://ppi.worldbank.or= g/.=20
=E2=80=A2 The World Bank is involved in the effort to establish standard= s among international organizations relevant to Financial Statistics, throu= gh its active participation in the Inter-Agency Task Force on Finance Stati= stics. The Inter-Agency Task Force on Finance Statistics is one of the inte= ragency task forces endorsed by the UN Statistical Commission to co-ordinat= e work among the participating agencies to improve the quality, transparenc= y, timeliness and availability of data on external debt and international r= eserve assets. The Task Force is chaired by the IMF and includes representa= tives from the BIS, ECB, EUROSTAT, OECD, UN, and the World Bank which have = collaborated to produce these data.=20
=E2=80=A2 The World Bank's Financial Sector is creating and publishing a= comprehensive database of national Financial Sector Development Indicators= which includes key data on banking, equity markets, and bond markets.=20
External Debt Statistics
=E2=80=A2 The World Bank's Debt Reporting System (DRS) requires every me=
mber country, which has received either an IBRD loan or an IDA credit to pr=
ovide information on its external debt. The borrowing countries are require=
d to report their long-term external debt on the following forms:
&nb= sp; (i ) Form 1 - Description of Individual External Public Debt and Privat= e Debt Publicly Guaranteed which consists of information on each loan chara= cteristics, such as commitment date, amount of loan commitment, loan purpos= e, interest rate, and terms and conditions of payments;
(ii) F= orm 1A - Schedule of Drawings and Principal and Interest Payments for Indiv= idual External Public Debt and Private Debt Publicly Guaranteed, purpose of= which is to enable the Bank to make projections of future payments of prin= cipal and interest for those loans that have irregular patterns of repaymen= ts;
(iii) Form 2 - Individual External Public Debts and Privat= e Debts Publicly Guaranteed: Current Status and Transactions During Period.= This form contains loan-by-loan information on debt stocks and debt flows = during the reporting period;
(iv) Form 3 - To contain specific= amendments to Forms 1 and 2;
(v) Form 4 - External Private No= n-Guaranteed Debt to include aggregate stocks and flows data on long-term e= xternal private non-guaranteed debt.
=E2=80=A2 The World Bank has been working closely with the Commonwealth = secretariat and the UNCTAD to improve the data collection across the globe.= In addition, new tools are being built and made available to reporting cou= ntries through the external data collection site (Web-DRS), to speed up the= process.=20
=E2=80=A2 The Joint External Debt Hub (JEDH) brings together external de= bt data and selected foreign assets from international creditor/market and = national debtor sources and was recently expanded to include data from Bern= e Union Data will be expanded to include additional indicators from Paris C= lub and IMF's SDR allocations. The creditor/market data are complemented in= the JEDH by series from the World Bank's Quarterly External Debt Database = from national sources. National data has been extended to not only SDDS/QED= S countries but also GSSD/QEDS countries. Data are updated on a quarterly b= asis. As a pilot project of the Statistical Data and Metadata Exchange (SDM= X), JEDH applies technological innovation to the context and content of inf= ormation being exchanged with the aim of generating efficiencies through th= e convergence of data flows into a common framework. The Bank is also worki= ng in collaboration with the IMF and other partners to improve statistics o= n remittance flows to developing countries. The system is accessible from: = http://www.jedh.org= .=20
=E2=80=A2 In collaboration with the IMF, the World Bank launched a web b= ased, centralized quarterly external debt debtor database located in the Wo= rld Bank. Quarterly External Debt Statistics (QEDS) database brings togethe= r detailed external debt data that are published separately by countries th= at subscribe to the IMF' Special Data Dissemination Standard (SDDS). The be= nefit of bringing together comparable external debt data for a large number= of SDDS-subscribing countries in one central location is to facilitate mac= roeconomic analysis and cross-country data comparison. Sixty one SDDS count= ries (61) are currently participating in this initiative. QEDS database has= been extended to a selected number of countries that participate in the IM= F's General Data Dissemination System (GDDS) in February 2008. As of Decemb= er 2009, forty-six GDDS countries have agreed to participate in this databa= se. The system is accessible from: http://www.worldbank.org/qeds.=20
=E2=80=A2 DECDG is also publishing The Little Book on External Debt whic=
h provides a quick reference for users interested in external debt stocks a=
nd flows, major economic aggregates, key debt ratios, and the currency comp=
osition of long-term debt for all countries reporting through the Debtor Re=
porting system. A pocket edition of the Global Development Finance 2009, Vo=
lume II: Summary and Country Tables, it contains statistical tables for 128=
countries as well as summary tables for regional and income groups.
Foreign Trade Statistics=20
The World Bank, in close collaboration with the United Nations Conferenc= e on Trade and Development (UNCTAD), has developed a web-based trade system= called World Integrated Trade Solution (WITS). This system allows access t= o information on trade and tariffs compiled by various international organi= zations. The merchandise trade data is based on bilateral trade between eve= ry reporting and trading partner. Tariff and non-tariff data are from UNCTA= D files. The system also provides tariff data from WTO's IDB and CTS databa= ses. WITS automatically converts data between various trade classifications= also known as nomenclatures and produces product and country aggregated re= sults which can be saved or exported to other applications for further anal= ysis. In addition, WITS contains simulation tools that are extremely useful= for trade negotiations. WITS allows users to produce new tariff structures= using pre-defined or user-defined tariff change scenarios (Doha negotiatio= ns, Unilateral MFN applied, preferential agreements). Users can simulate th= e impact of tariff changes on trade flows (trade creation and diversion), t= ariff revenues, and consumer welfare using partial equilibrium modeling too= ls. At present, WITS is going through a system renewal to have a fully web-= based system without any installations required. This work is being done wi= th International Trade Center (ITC) in Geneva and UNCTAD. It follows a mode= l of ITC MACMAP for data extraction.The new WITS is going to have charting = and other capabilities and is scheduled to be fully functional by July 2010= .=20
International Comparison Programme
=E2=80=A2 In the CI= S region, the World Bank will collaborate with the Interstate Statistical C= ommittee of the Commonwealth of Independent States, and the Russian Federal= Service of State Statistics (Rosstat) to prepare and implement the ICP 201= 1 global round of the International Comparison Program.
=E2=80=A2 The CIS Interstate Statistical Committee will perform the func= tions of the regional coordinator for the 2011 ICP round in the CIS region = and advise the ICP Global Office accordingly. The Russian Federal State Sta= tistics Service - Rosstat will act as a partner institution in coordinating= the programme in the CIS region. The CIS Interstate Statistical Committee = and the Rosstat will design a draft work programme describing the participa= tion of the CIS region.=20
=E2=80=A2 The 2011 round of the International Comparison Programme will = leverage on the successful implementation of the 2005 round which, based on= a concerted effort by international and national statistical agencies, was= better planned, managed and coordinated than previous rounds. The ICP Glob= al Office will work to broaden the scope of the Programme, streamline quali= ty assessment processes, improve the economic relevance of PPP statistics, = ensure the sustainability of PPP deliveries, and enhance statistical capaci= ty building activities related to the generation of ICP basic data with a s= pecific focus on price statistics and the implementation of the System of N= ational Accounts 1993/2008. the main objectives of the 2011 ICP are to: bro= aden the scope of the programme; better address users' needs; enhance the p= rogramme's economic relevance by building on the assets of the previous rou= nd and through innovations and continuous improvements in ICP methodologies= ; enhance ICP-related statistical capacity building activities; increase da= ta quality and reliability and make ICP a transparent process.=20
=E2=80=A2 As agreed at the first Regional Coordinators Meeting held in W= ashington DC in September 2009, which registered the participation of repre= sentatives from CIS and Rosstat, all the regions (including CIS) will colla= borate to advance the ICP innovation agenda that includes: (i ) the develop= ment of a comprehensive outreach strategy; (ii) the preparation and impleme= ntation of an ICP quality assurance framework; (iii) the elaboration of a s= tatistical capacity building strategy; (iv) the preparation and publishing = of an ICP book titled "Measuring the Size of the World Economy"; = (v) the development of a national accounts framework for ICP that will be i= mplemented using specifically defined guidelines of activities; (vi) a syst= em of economic validation of price and expenditure data that will be implem= ented together with statistical validation methods that proved effective in= 2005; (vii) a new method to compute global PPPs; and (viii) continuous imp= rovements in ICP methodologies.=20
=E2=80=A2 The Bank maintains a web site on International Comparison prog= ram (ICP). The ICP is a global statistical initiative which contributes sub= stantially towards the Millennium Development Goals of the United Nations b= y improving the reliability of estimates of those living in poverty and ena= bling more accurate comparisons of GDP and component levels across countrie= s. For more information, see http://www.worldbank.org/data/icp.=20
Bridging ICP and Household Budget Survey Data to Calculate PPP f= or the Poor=20
In order to compute poverty specific purchasing power parities (PPPs) fo= r countries where poverty is prevalent, price data obtained from the 2005 I= nternational Comparison Program (ICP) ICP was used in conjunction with weig= hts representing the expenditure patterns of the poor. To do so, household = consumption data available from national household surveys were re-aggregat= ed ("standardized") according to the ICP standard classifications= . This work resulted in a collection of new micro-datasets providing detail= ed data on household consumption.=20
=E2=80=A2 The 2009 edition of the World Development Indicators, the annu=
al World Bank statistical flagship publication, includes an updated and exp=
anded set of 16 tables on environmental indicators covering some 150 countr=
ies. Its accompanying CD-ROM includes time series data for more than 200 co=
=E2=80=A2 The Little Green Data Book presents a number of en= vironmental indicators based on the World Development Indicators and its ac= companying CD-ROM. Under the headings of agriculture, forests, biodiversity= , energy, emissions and pollution, water and sanitation, and 'greener' nati= onal accounts (adjusted for natural resource depletion and pollution damage= ), the Little Green Data Book presents key indicators of the environment an= d its relationship to people for more than 200 countries.
=E2=80=A2 T= he World Bank contributes to the development of core and supplementary envi= ronmental indicators for monitoring progress toward the Millennium Developm= ent Goals through the Environment subgroup of the Inter-Agency and Expert G= roup on the MDGs.
=E2=80=A2 A section of the environmental database i= s now available electronically on the World Bank's Environment Department w= ebsite. The database includes, among others, the ECE countries and it is an= nually updated from various sources inside and outside the World Bank. Go t= o = http://www.worldbank.org/environment and select Data & Statistics f= rom the left navigation bar.
=E2=80=A2 The World Bank works with the = UN Statistics Division in this area and continues to support initiatives in= the field of environmental Work in this area has been bolstered by the dev= elopment of accompanying indicators of environmental change including estim= ation of Adjusted Net Savings (genuine savings) for more than 140 countries= . These estimates are being published in the World Development Indicators a= nd the Little Green Data book.
=E2=80=A2 The World Bank has devoted i= ts 2010 World Development Report to Climate Change."
=E2=80=A2 Development of core environmental indicators for monitoring pr=
ogress toward the international development goals adopted by the World Bank=
, United Nations and the Development Assistance Committee of the OECD.
=E2=80=A2 Publication of environmental indicators through the Little Gree= n Data Book, the World Development Indicators and the Environment Departmen= t website.
=E2=80=A2 Updated on a yearly basis. New products to be sh= owcased in the website include environment at-a- glance fact sheets by coun= try.
=E2=80=A2 The World Bank will continue to provide expertise on g= reen accounting and the measurement of sustainable development through its = participation in activities with UNECE and other international groups.
The Development Data Group of the World Bank is involved in maintaining,=
documenting, and incorporating sub-national data into its databases. We wi=
ll be augmenting the World Development Indicators CD-ROM product to support=
mapping and charting of sub-national data.
Rural Development Statistics
=E2=80=A2 Rural Deve= lopment Indicators Handbook presents a number of indicators based on rural = economic performance, natural resource management, and rural well-being. Th= ese indicators are presented for over 200 countries, in addition to regiona= l and income-level tables.
Infrastructure Indicators= strong>
The World Bank's Development Data Group (DECDG) along with the Sustainab=
le Development Vice-Presidency and the various sector and regional offices =
are developing a core set of infrastructure indicators and systematic datab=
ase covering the energy, water & sanitation, transport, and ICT sectors=
which will be used to monitor project, country, and global policies & =
performance. Country tables on ICT, sourced mainly from the ITU, can be acc=
essed from the World Bank's external Data site.
See also: http://www.worldbank.org/data/countrydata/countrydata.html
3.3.1 Living conditions, po= verty and cross-cutting social issues=20
=E2=80=A2 New estimates of global poverty are the first re-evaluation of= the World Bank's "$1 a day" poverty line since 1999. The interna= tional poverty line has been recalibrated at $1.25 a day, using new data on= purchasing power parities (PPPs), compiled by the International Comparison= Program, and an expanded set of household income and expenditure surveys. = New measurements of the extent and depth of poverty are presented for 115 d= eveloping countries, along with poverty measurements based on their nationa= l poverty lines.=20
=E2=80=A2 The World Bank will continue its theoretical and practical wor=
k in the area of measuring and analysing income poverty, as well as efforts=
in developing tools to measure the many other dimensions of poverty. In th=
e past few years the WB prepared a Poverty Reduction Strategy (PRSP) Source=
Book, which is designed as a handbook for the 42 PRSP countries (9 of them=
are in the ECE region) in developing their strategy for poverty alleviatio=
n. A considerable part of the book is focused on the issues of data on pove=
rty, poverty measurement, and poverty monitoring.The Bank will continue mai=
ntenance and updating of databases on Poverty developed to assist countries=
in monitoring poverty trends and embarking on strategies to help them redu=
ce poverty. The aim is to help countries reach the Strategy 21 goals of fos=
tering economic well-being and social development. They include:
Pove= rty Monitoring Database provides quick access to comprehensive poverty info= rmation. Its main components are:
(i ) Information on househol= d surveys: key features and general information on income/consumption surve= ys conducted recently. The information sheets indicate whether household su= rvey data are available to the general public. Links to the data set are pr= ovided when they are available on the web;
(ii) Poverty Assess= ment Summaries conducted by the World Bank since 1993;
(iii) P= articipatory Poverty Assessments, which provide basic information on assess= ments conducted by the Bank and other institutions;
PovcalNet is an i= nteractive computational tool that allows users to replicate the calculatio= ns made by the World Bank's researchers in estimating the extent of absolut= e poverty in the world.
PovcalNet also allows one to calculate the po= verty measures under different assumptions and to assemble the estimates us= ing alternative country groupings or for any set of individual countries of= their choosing. (http://go.worldbank.org/NT2A1XUWP0).
=E2=80=A2 Training of statisticians and policy makers on how to use hous= ehold survey data for analysis and policy is and will continue to be provid= ed by the World Bank Institute on a regional basis. Country specific traini= ng on analysis is carried out under several LSMS projects and under Poverty= Assessments.=20
=E2=80=A2 The Bank will continue maintenance and updating of databases o=
n Poverty developed to assist countries in monitoring poverty trends and em=
barking on strategies to help them reduce poverty. The aim is to help count=
ries reach the Strategy 21 goals of fostering economic well-being and socia=
o Poverty Monitoring Database (http://go.worl= dbank.org/CVC2XGIIH0)
o Living Standards Measurement= Study Survey Database http://www.worldbank.org/lsms/
o Data= base on Household Expenditure and Income Data for Transitional Economies (<= a href=3D"http://go.worldbank.org/KTN5N3L4H0" class=3D"external-link">http:= //go.worldbank.org/KTN5N3L4H0)
o PovcalNet http://go.w= orldbank.org/NT2A1XUWP0).
See: = http://www.worldbank.org/data/ for more information.=20
3.3.5 Indicator= s related to the Millennium Development Goals
=E2=80=A2 In collaboration with other international agencies the World B= ank is working to strengthen the system to monitor progress towards the Mil= lennium Development Goals. At the international level, efforts are continui= ng to improve poverty and education data and to promote greater coordinatio= n in the compilation and dissemination of data on the MDG indicators. At th= e national level, efforts are under way to strengthen the capacity of count= ries to report on progress towards the goals and to document the statistica= l methods and procedures used.=20
=E2=80=A2 The Bank maintains a web site on Millennium Development Goals =
(MDG). MDGs grew out of the agreements and resolutions of world conferences=
organized by the United Nations.
See also: http://www.developmentgoals.org= /.
=E2=80=A2 The World Bank contributes to the development of core and supp= lementary environmental indicators for monitoring progress toward the Mille= nnium Development Goals through the Environment subgroup of the Inter-Agenc= y and Expert Group on the MDGs.=20
3.3.6 Sustainab= le development
=E2=80=A2 The World Bank contributes to the Joint UNECE/OECD/Eurostat Wo=
rking Group on Statistics for Sustainable Development (WGSSD). This group a=
ims to develop a guidance document on developing asset-based approaches to =
measuring sustainable development.
=E2=80=A2 The World Bank contribut= es to the update of the Indicators of the UN Commission for Sustainable Dev= elopment Indicators taskforce. Indicators are now classified as core and no= n-core and provide methodology sheets and background information to support= indicator efforts in countries.
=E2=80=A2 The Bank releases two annual publications both in hard copy an= d on CD-ROM, World Development Indicators and Global Development Finance. T= he Atlas of Global Development is distributed in hard copy. This year, it w= ill also be available in electronic format. Selected indicators from the Wo= rld Development Indicators also appear in the World Development Report, the= Little Data Book, the Little Green Data Book, The Little Book on External = Debt (all annual), The Little Data Book on Information, and Communication T= echnology, The Little Data Book on Private Sector Development, and the Litt= le Data Book on Gender. Selected tables from these publications are availab= le on the Bank's website: http://www.worldbank.org/data/.=20
DECDG also produces the online Atlas of MDGs available from http://devd= ata.worldbank.org/atlas-mdg/.=20
Together with the International Household Survey Network (IHSN), the Wor= ld Bank is advocating and supporting the use of the Data Documentation Init= iative (DDI) metadata specification for the documentation and dissemination= of microdata.=20
International Household Survey Network (IHSN)
The World Bank participates in the governing body of the International H= ousehold Survey Network (IHSN), established in September 2004 (with various= UN agencies, regional development banks, PARIS21, and other bilateral and = multilateral partners), and coordinates the IHSN secretariat. (
The World Bank and IHSN have initiated the development of microdata anon= ymization tools and dissemination guidelines, building on the work by the U= N-ECE Task Force on Confidentiality and Microdata.=20
Living Standards Measurement Survey=20
Living Standards Measurement Survey Database contains all information on=
LSMS surveys that have been carried out. Documentation, questionnaires, ma=
nuals and other basic information can be downloaded from the site. The actu=
al data can either be downloaded directly from the site (where countries ha=
ve given permission) or may be requested from the data base manager. Each s=
urvey data set contains constructed welfare measures that can be used for p=
overty analysis. To increase the ease of use and accessibility of the LSMS =
data sets two new tools are being constructed. The first is a searchable me=
ta data file that allows researchers and analysts to identify those surveys=
that meet their research needs. A further effort to expand the use of the =
LSMS data sets is an interactive multi-survey data base that allows for on-=
the-fly tables and other analyses of the data for those who do not have the=
skills or time to analyze full household surveys. A test version of this t=
ool has been finalized.
=E2=80=A2 The World Bank continu= es to provide assistance in planning, designing, implementing and analyzing= the Living Standard Measurement Study (LSMS) surveys. The LSMS surveys rep= resent one piece of larger, integrated efforts to improve the overall stati= stical system of each country by providing quality household level data.
The WB ISTAT and the PRSP unit have supported efforts to determine the f=
easibility of using the HBS to measure welfare in future years.
= ; =E2=80=A2 Regional work is being carried out in analyzing welfare d= ata and how LSMS and HBS surveys are similar and dissimilar and the implica= tions this has for welfare analysis over time.
=E2=80=A2= The LSMS group has developed a program of research investigating methodolo= gical issues related to the measurement of key concepts, how to improve dat= a quality and ways in which LSMS survey data can be linked to other data ba= ses. In the region, steps have been taken in designing experiments on the m= easurement of consumption.
=E2=80=A2 Assistance in plann= ing, designing, implementing and analyzing LSMS surveys is provided by staf= f in DECRG-Poverty Group. Assistance includes technical advice on all stage= s of survey work, from deciding on the need for an LSMS survey, how best to= design and implement such a survey, to how the resulting data can be analy= zed. A variety of printed and electronic materials are also available to su= rvey planners and analysts. Several of these are:
&= nbsp; (i ) the recent book on Designing Household Survey Questionnaires for= Developing Countries: Lessons from Fifteen years of the LSMS Surveys, that= link the policy questions to be answered to the actual data that must be c= ollected. Additional chapters are being added as the new topics become more= and more important: draft chapters on energy and transportation have been = written;
(ii) a Manual for Planning and Impl= ementing LSMS Surveys, that covers all phases of an LSMS survey, from budge= ting, to sampling, field work and data management and analysis;
= ; (iii) examples of questionnaires, manuals and other fie= ld work material from all countries where LSMS surveys have been done;
(iv) case studies on how to increase the analyti= c capacity in country;
(v) databases from mo= re than 60 LSMS surveys.
=E2=80=A2 Formal training cours= es on survey design and implementation along with hands-on-training are pro= vided, both within and outside the Bank.
New techniques in small area= estimation for poverty mapping are being developed that link census and ho= usehold survey data. Training in these techniques as well as technical assi= stance in their implementation is also provided by DECRG-PO.
&n= bsp; =E2=80=A2 The Living Standards Measurement Study (LSMS) web site provi= des access to documentation and data from LSMS surveys done in the region, = including Albania, Armenia, Azerbaijan, Bosnia and Herzegovina, Bulgaria, K= azakhstan, Kosovo, Kyrgyz Republic, Romania, Russia (link to CPC site), and= Tajikistan.
=E2=80=A2 The Development Data Group of the World Bank launched the Deve= lopment Data Platform (DDP), a web-based statistical data collection and di= ssemination system for its staff. The data delivery is over the internet us= ing secure protocols. The objective was to build an infrastructure to bring= many of the statistical databases in the Bank under a data warehouse. Furt= her, through arrangements with other participating organizations/member cou= ntries, data from their respective sources could also be made available to = a user's query over the internet, provided the user were to have the necess= ary privileges to access that data. As a first step, socio-economic, extern= al debt and trade indicators and other related Bank/IDA data have been incl= uded in this warehouse. An external version of the DDP system, called "= ;DDP Lite" is being developed which would provide limited DDP function= ality to other international organizations. This is designed to run on a nu= mber of different operating system and server environments.=20
=E2=80=A2 A web-based system, Data Platform (DP), is part of the DDP sui= te of products developed to help clients and partners to manage and dissemi= nate their data based on their preferences and needs. It provides a framewo= rk for the use and management of quantitative data and their metadata.= =20
=E2=80=A2 The Gateway initiative is envisioned as a portal website on de= velopment issues, from which users will be able to access information, reso= urces and tools, and into which they will be able to contribute their own k= nowledge and experience
/p> Data Dissemination System (GDDS) Development of Standards for Data Avai=
lability and Dissemination, and assisting countries in improving their work=
=E2=80=A2 Together with the IMF, the World Bank will continue to wor= k on the General Data Dissemination System (GDDS) which provides guidelines= to the countries in the dissemination of economic, financial and socio-dem= ographic data to the public and establishes a broad framework for countries= seeking improvements in their statistical systems. The World Bank has deve= loped guidelines for the preparation of metadata covering the following are= as: population, education, health, poverty assessment and monitoring. The W= orld Bank, as part of phase one of this project, in collaboration with the = IMF, has been participating in regional seminars and in preparation of the = GDDS metadata for participating countries, as well as providing technical s= upport from headquarters or in the field to staff of member countries parti= cipating in the GDDS.
Global Development Network (GDN)=20
=E2=80=A2 The Global Development Network (GDN) Initiative sponsors and p= rovides information about training and other activities to support broader = and better use of microdata in macro- and socio-economic research .=20
Data Quality Assessment Framework (DQAF)
=E2=80=A2 The World Bank has been working with the IMF on the Socio-demo= graphic and Poverty modules of the Data Quality Assessment Framework (DQAF)= . The framework provides countries with a flexible structure for the qualit= ative assessment of various aspects of the statistical environment and infr= astructure in which the data are collected, processed, and disseminated. It= also identifies areas requiring technical assistance. The income poverty a= nd education modules have been completed. Modules for health and population= are under development.=20
Statistical Information Collection and Processing
=E2=80=A2 The World Bank gathers macroeconomic data and projections at l=
east once a year from its country teams in a process known as the Unified S=
urvey. These data and projections are used for planning and evaluating Bank=
operations. They underlie work on creditworthiness and risk assessment and=
they are an important part of the Bank's external publications such as the=
World Development Indicators, the country and regional At-a-Glance tables,=
and Global Development Finance. These data are collected in a standardized=
way using the World Bank's country database system known as the Live Datab=
ase (LDB). The LDB is an Excel based system which standardizes the manageme=
nt of macroeconomic information by organizing information into separate she=
ets by topic and utilizing indicator codes, common layouts, and a variety o=
f formatting, calculation, and reporting tools.
=E2=80=A2 The Develop= ment Data Platform (DDP), a web-based statistical data collection and disse= mination system has integrated and streamlined time-series data management = operations at the Bank, and has established a comprehensive platform to sup= port the statistical data collection and dissemination functions of the Ban= k. Also, the software can be provided to countries to further the goal of s= tatistical capacity building in these countries. The software developed in = this project may be installed in these countries.
=E2=80=A2 The syste= m has also incorporated micro data from household surveys allowing cross-co= untry comparisons on key indicators by welfare status.
=E2=80=A2 A ne= w web-based system, Data Platform (dp), is part of the DDP suite of product= s developed to help clients and partners to manage and disseminate their da= ta based on their preferences and needs. It provides a framework for the us= e and management of quantitative data and their metadata. The system is esp= ecially useful for any organization with a need to publish statistical data= on the web.
=E2=80=A2 The BIS, ECB, EUROSTAT, IMF, OECD, UN, and the World Bank have= set up a partnership to focus on establishing web-based standards for more= efficient exchange and sharing of statistical information and metadata, wh= ich is called SDMX. As part of this effort, the Bank is involved in a Pilot= Project in rebuilding the Joint External Debt Statistics through SDMX stan= dards (see
Statistical Capacity Buildi= ng
=E2=80=A2 The World Bank promotes s= tatistical capacity building (SCB) mainly through financial instruments, ad= visory services, knowledge products, and partnerships. Our activities are c= entred around the implementation of the Marrakech Action Plans for Statisti= cs (MAPS). Main financial instruments are loans and grants. Lending project= s are mostly long term and comprehensive in coverage. The projects typicall= y aim at improved economic and social information for policy making and pov= erty reduction by strengthening planning, statistical legislations, infrast= ructure, human resources, data collection, processing, analyzing, archiving= , and dissemination. A multi-country lending program, Statistical Capacity = Building Program (STATCAP), became operational in 2004 to make investments = in statistical development easier and more effective. It is designed to be = simple to initiate, plan and operate.
=E2=80=A2 A $32 million loan un= der STATCAP for a statistical capacity building program in Ukraine was appr= oved by the Bank's Executive Board in 2004 and is currently being implement= ed. The loan includes finance for organizational and management reform, dev= elopment of statistical infrastructure, modernization of computing infrastr= ucture, technical assistance in various areas, and use of economic data in = analysis and forecasting.
=E2=80=A2 In the Russian Federation as a pa= rt of the STATCAP facility a new $50 million Project for Development of the= State Statistical System (STASYS 2) became effective in April 2008. The pr= oject is now under implementation as a follow up to the STASYS project whic= h was completed in December 2006. For the STASYS 2 Project, the World Bank = finances 20% of the above amount to (i ) enforce further modernization of s= tatistics methodology in compliance with the international standards; (ii) = strengthen development of modern design and technology for statistical data= collection, processing, and dissemination; (iii) ensure enhancement of soc= ial statistics, and (iv) support human resource development in the statisti= cal system.
=E2=80=A2 A STATCAP project for Tajikistan was approved i= n 2006, and currently under implementation. The project is being supported = by co-financing from DFID and SIDA, as well as in-kind contributions from t= he Turkish International Cooperation Agency (TICA). The mid-term review of = the project was conducted in November 2008 with quite positive findings. . = The project is moving on schedule and it is anticipated that all activities= will be completed by the closing date of June 2011.
=E2=80=A2 The Wo= rld Bank manages a multi-donor Trust Fund for Statistical Capacity Building= (TFSCB which aims to strengthen the capacity of statistical systems in dev= eloping countries. It supports: (i ) NSDS projects assisting the preparatio= n of National Strategies for the Development of Statistics (NSDS); and (ii)= Statistical capacity improvement projects aiming at strengthening the capa= city in key priority areas. TFSCB also funds participation of developing co= untry representatives in meetings, seminars and workshops. It has financed = a number of projects in the region and there are currently an NSDS and capa= city building project in Armenia, and capacity building projects in Kyrgyz = Republic and Turkmenistan. In addition, participation of several staff of M= oldovan National Bureau of Statistics in an international conference was re= cently funded.
=E2=80=A2 The World Bank Development Grant Facility provided grants to U=
NECE in the total amount of 950,000 USD to strengthen national capacity to =
improve gender statistics in Southern and Eastern Europe. These grants fall=
under the Marrakesh Action Plan for Statistics umbrella, and were used to =
finance the following objectives: (i ) improve gender sensitivity of Nation=
al Statistical Systems in order to increase availability, raise quality and=
improve access to data for developing, monitoring, and evaluating gender p=
olicies; and (ii) increase capacity of users to utilize statistics for poli=
cy making and how to judge the quality and availability of data at the nati=
onal and regional level.
=E2=80=A2 The World Bank maintains a web sit= e on Statistical Capacity Building which provides information on the financ= ial instruments, including STATCAP and TFSCB, advisory services, databases,= and reference materials available in support of statistical capacity build= ing. See
=E2=80=A2 The World Bank provides funding to PARIS21 from its developmen= t Grant Facility for the implementation of the Accelerated Data Program (AD= P), jointly implemented with the World Bank Data Group. The ADP provides su= pport to countries in the areas of microdata documentation, dissemination a= nd preservation. The Russian Federal Service of State Statistics (Rosstat) = was introduced to the software and practices promoted by the ADP.=20
=E2=80=A2 A new web-based tool called the "Bulletin Board on Statis= tical Capacity (BBSC)" has been launched on the World Bank website. Th= e tool will help strengthen the capacity of countries, especially IDA count= ries, to compile and use statistics with an overall aim of supporting the m= anagement of development results. Specifically, the BBSC: (i ) presents key= information on national statistical systems collected from national and in= ternational sources, including planning, funding, human resources, census a= nd surveys; (ii) assesses countries' statistical capacity in key areas incl= uding institutional framework, statistical methodology, source data, data p= eriodicity and timeliness through the use of a composite indicator, checkli= sts, maps and charts; and (iii) allows users to provide feedback and update= s easily and quickly with interactive features. The BBSC is available onlin= e at:
There are two TFSCB projects in the pipeline: (i ) project to support UN= ECE led training activities to improve the capacity of the National Statist= ical Offices in Central Asia and East European sub-regions in production an= d dissemination of economic statistics; and (ii) project to strengthen sub-= national capacity for analysis of living conditions in Russia. In addition,= it is anticipated that the TFSCB will provide funding to strengthen traini= ng programs for the national statistical offices of the Commonwealth Indepe= ndent States in the coming year.=20