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LET'S TALK DATA | How innovative survey methods can reduce gender- and age-based labor mismeasurement

May 9, 2024
World Bank HQ & Webex
LTD Event LSMS El Salvador

Event description

Can alternative survey methods address the underreporting of labor market outcomes for women and young men, and thus improve the measurement of underlying gender- and age-based gaps???

We tackle this question in a randomized survey experiment in El Salvador that compares two alternative survey methods ¡ªa list of activities survey module (LOA) and enforced self-responses (ESR)¡ª against a traditional labor survey that allows proxy responses and does not include a LOA module.?

Our findings reveal significant differences when comparing the three methods tested, and in this seminar, organized by Development Economics (DEC) and the Living Standard Measurement Study (LSMS), we share the insights of our research.??

Join us to learn about innovative survey methods that can improve labor measurement.?


Chair
 

Talip Kilic
Senior Program Manager of the Living Standards Measurement Study (LSMS), the World Bank¡¯s flagship household survey program, part of the Development Data Group.

In his managerial role, he oversees the extensive LSMS portfolio of face-to-face and phone survey data production, methodological and policy research, and capacity development activities. As a researcher, he focuses on poverty, agriculture, labor, and gender in low- and middle-income countries, as well as survey methodology and data integration to improve the quality, timeliness, and policy-relevance of household and farm surveys. He was also a core member of the World Development Report 2021: Data for Better Lives.  

Talip holds a Ph.D. in Economics from the American University in Washington, DC.


Speakers

Amparo Palacios-L¨®pez
Program Manager at the World Bank Living Standards Measurement Study (LSMS) unit. She leads the Jobs, Gender, and Individual-Level Data for Policy Program of the LSMS.

Her primary area of research is development, with a focus on survey methods, gender, labor, and agriculture. Recently, she has been working jointly with the World Bank Gender Group and the International Labor Organization on gender and labor. She supports surveys in several countries of Sub-Saharan Africa and leads the design of survey questionnaires in Latin America, Asia, and the Middle East. She is a member of the World Bank Household Survey Working Group and its Technical Review Panel.  

Amparo has a Ph.D. in Development Economics from the University of Maryland, College Park, and holds a M.A. in Economics from the Pontificia Universidad Cat¨®lica de Chile.
 

Ivette Contreras
Economist for the Living Standards Measurement Study (LSMS), the World Bank flagship household survey program, housed at the Development Data Group.

Her research is focused on development economics, with a special emphasis on labor, migration, and survey methods. As a member of the LSMS team, she is an expert in the design, implementation, data quality control, and analysis of household surveys.

Ivette is originally from El Salvador and holds a Ph.D. in Economics from the George Washington University and a M.A. in International Development from American University in Washington, DC.
 

Discussant

Sylvan Rene Herskowitz
Economist, specialized in applied microeconomics, at the World Bank Development Impact Department (DIME).  

He has worked on a wide range of topics, including agriculture, personal and household finance (financial inclusion, sports betting), and gender (fertility choices, childcare, labor participation). His work examines financial management strategies of the poor with links to intrahousehold bargaining and behavioral decision-making. Recently, he has worked on digital development projects. Before joining the World Bank, he was a Research Fellow at the International Food Policy Research Institute and a Peace Corps volunteer in Niger.

Sylvan has a Ph.D. in Agricultural and Resource Economics from the University of California, Berkeley, and holds a M.A. in International Affairs at Johns Hopkins' School of Advanced International Studies.  


This event is supported by The Living Standards Measurement Study (LSMS).
 

Event details

  • DATE & TIME: May 9, 2024 @ 11 a.m. ET
  • PHYSICAL LOCATION: MC 3-500 (World Bank staff only)
  • VIRTUAL LOCATION: Webex (no password needed)