Combining Survey and Geospatial Data Can Significantly Improve Gender-Disaggregated Estimates of Labor Market Outcomes

Combining Survey and Geospatial Data Can Significantly Improve Gender-Disaggregated Estimates of Labor Market Outcomes

Better understanding the geography of women’s labor market outcomes within countries is important to inform targeted efforts to increase women’s economic empowerment. This paper assesses the extent to which a method that combines simulated survey d...

Full description

Bibliographic Details
Main Authors: Merfeld, Joshua D., Newhouse, David, Weber, Michael, Lahiri, Partha
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2022
Subjects:
SMALL AREA ESTIMATION
DATA INTEGRATION
GEOSPATIAL DATA
LABOR FORCE PARTICIPATION
UNEMPLOYMENT
WOMEN'S LABOR MARKET OUTCOMES
ECONOMIC EMPOWERMENT
LOCAL LABOR PARTICIPATION
LOCAL EMPLOYMENT ESTIMATES
MUNICIPAL UNEMPLOYMENT RESULTS
GENDERED EMPLOYMENT DATA
HUMAN CAPITAL
Online Access:http://documents.worldbank.org/curated/en/099321406092229138/IDU016f95e0806fc6044ea0b843007d5dc0ef17e
http://hdl.handle.net/10986/37519

Internet

http://documents.worldbank.org/curated/en/099321406092229138/IDU016f95e0806fc6044ea0b843007d5dc0ef17e
http://hdl.handle.net/10986/37519

Similar Items