June 06, 2013

LAC Team for Statistical

Development

LCSPP

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LAC Team for Statistical Development (LAC TSD)

SEDLAC

Datalib

Poverty and Labor Briefs (PLB)

LAC Equity Lab

Outline

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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 Surveys 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.

About the LAC Team for Statistical Development (LAC TSD)

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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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The SEDLAC is a database of socio-economic statistics constructed from micro-data of the Latin American and Caribbean (LAC) household surveys.

Socio-economic Database for LAC (SEDLAC)

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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Allow users to monitor trends in poverty, inequality and other socio-economic indicators in Latin America and the Caribbean.

SEDLAC - Objectives

Contribute to comparative research on social issues in the region.

LABLAC complements SEDLAC household data with more detailed information on recent employment trends.

Poverty appears to have declined further in 2012

0.70

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Labo

r Inc

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x (L

IPI)

Argentina Brazil Ecuador Mexico Paraguay Peru

The vulnerable and middle classes are growing as Latin Americans move out of poverty

43.2

26.6

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38.6

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32.3

0

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1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

Hea

dcou

nt (%

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Poor Vunerable Middle Class

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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

SEDLAC - Coverage of datasets

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SEDLAC - Coverage of datasets

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012Argentina 1 1 1 1 1 1 1 1 1 1 1 1 1 3 2 2 2 2 2 2 2 2 1Bahamas 1Belice 1 1 1 1 1 1 1Bolivia 1 1 1 1 1 1 1 1 1 1 1 1 1Brazil 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1Chile 1 1 1 1 1 1 1 1 1Colombia 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1Costa Rica 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1Dominican Republic 1 1 1 1 1 1 1 1 1 1 1 1 1 1Ecuador 1 2 2 1 1 1 1 1 2 1 1 1 1 1EL Salvador 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1Guatemala 1 1 1 1 1 1Haiti 1Honduras 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1Jamaica 1 1 1 1 1Mexico 1 1 1 1 1 1 1 1 1 1 1Nicaragua 1 1 1 1 1Panama 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1Paraguay 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1Peru 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1Suriname 1Uruguay 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1Venezuela 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

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Diff erences 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 coeffi cient

SEDLAC – Issues when comparing offi cial poverty figures

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To alleviate (not eliminate) these comparison issues, we

make all possible eff orts to make statistics comparable

across countries and over time by:

Using the same welfare measure among LAC countries: Per-capita 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).

SEDLAC - The process of harmonization

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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.

SEDLAC - Main Methodological Issues

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SEDLAC - Systematic data archiving is of essence

CCC_YYYY_SSSS_ vNN _M_vNN_A_SEDLAC

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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.

Datalib – Beta Version

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Datalib – How does it work?

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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.

Poverty and Labor Brief (PLB)

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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 staff (especially RAs) from other sectors to ensure that they can use the Lab and have access to the latest datasets and codes.

The LAC Equity LAB (LEL) – Beta Version

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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 staff.

The LAC Equity LAB (LEL) – objectives

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Thank You