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LAC Team for Statistical Development LCSPP

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. About the LAC Team for Statistical Development (LAC TSD).

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LAC Team for Statistical Development LCSPP

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  1. LAC Team for Statistical DevelopmentLCSPP June 06, 2013

  2. Outline • LAC Team for Statistical Development (LAC TSD) • SEDLAC • Datalib • Poverty and Labor Briefs (PLB) • LAC Equity Lab

  3. 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 Surveys and Measurement of Living Conditions in LAC). • The LAC TSD was created to continue, expand, and mainstream the work of this program. • Threeeconomists, twoseniorRAs and five junior RAs.

  4. LAC TSD - Key ongoing products

  5. 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)

  6. SEDLAC - Objectives • Allow users to monitor trends in poverty, inequality and other socio-economic indicators in Latin America and the Caribbean. • Contribute to comparative research on social issues in the region. • LABLAC complements SEDLAC household data with more detailed information on recent employment trends.

  7. 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

  8. SEDLAC - Coverage of datasets

  9. SEDLAC – Issues when comparing official poverty figures Differences 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

  10. SEDLAC - The process of harmonization To alleviate (not eliminate) these comparison issues, we make all possible efforts 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).

  11. 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.

  12. SEDLAC - Systematic data archiving is of essence CCC_YYYY_SSSS_ vNN _M_vNN_A_SEDLAC

  13. 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.

  14. Datalib – How does it work?

  15. 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.

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

  17. 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 staff.

  18. Thank You

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