LAC Team for
Statistical Development
LCSPP
June 06, 2013
Outline
 LAC Team for Statistical Development (LAC TSD )
 SEDLAC
 Datalib
 Poverty and Labor Briefs (PLB)
 LAC Equity Lab
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About the LAC Team for Statistical
Development (LAC TSD)
 The LAC Team for Statistical Development (LAC TSD) has worked to
improve the quality, frequency, and accessibility of surveys and
statistics and enhance the measurement of living conditions in
LAC.
 The LAC TSD builds on the regional statistics work that began
through an inter-institutional agreement established in 1996 with
IADB and ECLAC: the MECOVI program (Spanish for the
Improvement of Sur veys and Measurement of Living Conditions in
LAC).
 The LAC TSD was created to continue, expand, and mainstream the
work of this program.
 Three economists, two senior RAs and five junior RAs.
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LAC TSD - Key ongoing products
Theme
FY13 activities
(i) Shared Prosperity Agenda
• Developed the LAC Shared Prosperity Convergence Index (LAC SPCI).
• Developed a conceptual framework to shape the engagement of the LCR region with clients
(MX CPS).
• World/regional/country dashboards.
• Presentations to senior management, PIMA-PG, RLT, other sectors, and at least seven
country-specific presentations (BR, MX, CO, CR, PY, UY, ARG).
(ii) Poverty and Labor Briefs (PLBs)
• Fall 2012 PLB on the Power of Women in Reducing Poverty – delivered (printed, online and
i-book).
• Spring 2013 PLB on Shared Prosperity in LAC – launch planned June 14, 2013.
(iii) LAC harmonized household and
labor force data
• Provided up-to-date harmonized data (Datalib) on household welfare (SEDLAC) and labor
market outcomes (LABLAC).
• Maintained the LAC Data Portal in partnership with CEDLAS (which makes more than 300
surveys available to the Bank staff and in some cases to the public).
(iv) LAC Equity LAB (LEL)
• Developed the concept, design and content of a beta version of the LEL (web-based platform
to improve access to data and code) – internal launch (June).
(v) Global Poverty Working Group
(GPWG)
• Represented LAC in the GPWG (working group with representatives from other regions,
PRMPR and DECPI )
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Socio-economic Database for LAC (SEDLAC)
 The SEDLAC is a database of socio -economic statistics
constructed from micro-data of the Latin American and
Caribbean (LAC) household surveys.
 It is a joint project between:
 the Center for Distributive, Labor and
Social Studies (CEDLAS) at
Universidad Nacional de La Plata the
World Bank’s Poverty and
 Gender Group for the Latin America
and Caribbean region (LCSPP)
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SEDLAC - Objectives
 Allow users to monitor trends in poverty, inequality and other
socio-economic indicators in Latin America and the
Caribbean.
The vulnerable and middle classes are growing as Latin Americans move out of poverty
50
45
40
Headcount (%)
 Contribute to comparative
research on social issues in
the region.
35
38.6
43.2
33.7
32.3
30
25
21.1
26.6
20
15
10
5
0
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
Poor
Vunerable
Middle Class
Poverty appears to have declined further in 2012
1.40
1.30
1.20
1.10
1.00
0.90
0.80
0.70
Q1-2005
Q2-2005
Q3-2005
Q4-2005
Q1-2006
Q2-2006
Q3-2006
Q4-2006
Q1-2007
Q2-2007
Q3-2007
Q4-2007
Q1-2008
Q2-2008
Q3-2008
Q4-2008
Q1-2009
Q2-2009
Q3-2009
Q4-2009
Q1-2010
Q2-2010
Q3-2010
Q4-2010
Q1-2011
Q2-2011
Q3-2011
Q4-2011
Q1-2012
Q2-2012
Q3-2012
Labor Income Poverty Index (LIPI)
 LABLAC complements
SEDLAC household data with
more detailed information on
recent employment trends.
1.50
Argentina
Brazil
Ecuador
Mexico
Paraguay
Peru
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SEDLAC - Coverage of datasets
 Latin American countries and some Caribbean countries
 About 97% of total LAC population
 Almost 300 household surveys harmonized which are
nationally representative.
 At least 10 observations for most Latin American countries.
 Variables:
•demographic
• regional
• housing
• education
• labor
• income
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SEDLAC - Coverage of datasets
1990
Argentina
Bahamas
Belice
Bolivia
Brazil
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
EL Salvador
Guatemala
Haiti
Honduras
Jamaica
Mexico
Nicaragua
Panama
Paraguay
Peru
Suriname
Uruguay
Venezuela
1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
1
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3
2
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SEDLAC – Issues when comparing official
poverty figures
Dif ferences across countries are mainly due to:
 Welfare variables:




income or consumption
construction of income (or consumption)
adjustments for demographics
adjustment for regional prices
 Poverty lines:




minimum calories requirement
construction of basic bundle
reference group
Orshansky coefficient
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SEDLAC - The process of harmonization
To alleviate (not eliminate) these comparison issues, we make
all possible ef forts to make statistics comparable across
countries and over time by:
 Using the same welfare measure among LAC countries: Percapita household Income.
 Using the same methodology for constructing this income
aggregate for all countries.
 Using International poverty lines in US dollars PPP ($1 .25,
$2.50 and $4.00).
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SEDLAC - Main Methodological Issues
 Household Surveys:
 Change in geographical coverage.
 National and urban surveys.
 Changes and improvements in surveys.
 Incomes:
 The household excludes renters, domestic servants and their
families.
 Recall period: we only include income in the last month.
 Non-current or exceptional incomes are excluded (sale of assets,
gifts, etc.).
 Implicit rent from owing a house (self-reported or 10%).
 Non-response and missing incomes (consider raw data).
 Zero incomes are considered by the LAC TSD.
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SEDLAC - Systematic data archiving is of
essence
CCC_YYYY_SSSS_ vNN _M_vNN_A_SEDLAC
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Datalib – Beta Version
 Allows users to get direct access to the microdata library
maintained by LAC TSD team, and extract all or selected
variables for subsequent analysis in Stata.
 Generates income variables in PPP terms.
 Creates any possible poverty line in US Dollars a day.
 Appends two or more data sets if more than one year is
requested.
 … other features.
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Datalib – How does it work?
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Poverty and Labor Brief (PLB)
 In addition to harmonizing, managing and providing accessibility
to regional statistics and databases, LACTSD uses the data to
monitor bi-annually poverty and labor market outcomes in the
region.
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The LAC Equity LAB (LEL) – Beta Version
 What: The LAC Equity LAB is a data sharing platform as it will
harmonize and/or standardize the micro data, STATA codes (and
methodology notes) and will use business intelligence tools to
make this information widely and easily accessible.
 How: LEL will provide a web -based platform to make the data, the
code, and the analysis available and accessible.
 When: A basic beta version of the LAC Equity Lab will be released
internally.
 Who: The LAC TSD will also train regional staf f (especially RAs)
from other sectors to ensure that they can use the Lab and have
access to the latest datasets and codes.
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The LAC Equity LAB (LEL) – objectives
 Improving access to micro data and indicators in a way that is
easy to use and replicate in order to help practitioners build a
critical body of knowledge on how to enhance equity.
 Providing senior management just -in-time data and strategic
diagnostic required to position the bank region as credible leader
on measurement and analysis.
 Building institutional memory and easy access to key data on
equity.
 Recognizing the work of junior staf f.
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Thank You
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