WBG Pioneer - LSMS Survey Innovation Fellow

CGAP
CGAP

Posted on Jul 22, 2026
The Development Economics Survey Unit (DECSU) in the World Bank Group’s Development Economics Vice Presidency supports the production and use of high-quality household survey data in low- and middle-income countries. Through the Living Standards Measurement Study (LSMS) program, DECSU advances methodological innovation in household survey design, implementation, and data quality, with a focus on improving the evidence available for development policy and research. As part of this agenda, DECSU is implementing a randomized survey experiment in Kenya to test approaches for improving the identification and measurement of household businesses. The experiment is designed to develop and validate an innovative survey methodology for identifying and measuring household businesses in low- and middle-income countries, closing critical knowledge gaps — particularly for women entrepreneurs — and improving the accuracy and policy-relevance of business data. Duties and Responsibilities The Fellow will be part of the team supporting an ongoing randomized survey experiment in Kenya. The study combines a qualitative preparatory phase with a quantitative data collection strategy split into two components to tackle two main sources of mismeasurement: a sampling error problem, whereby household businesses are missed entirely because they are never listed and therefore never enter the sampling frame; and a measurement error problem, whereby household businesses are present in the sample but go unreported because respondents do not recognize or classify their own activities as a business. The assignment will contribute to the World Bank’s research agenda on the identification of household businesses. It will also provide the Fellow with practical experience in survey methodology, field experiment implementation, data quality monitoring, and applied quantitative research. The scope of work includes supporting questionnaire refinement, survey implementation, data quality monitoring, and data analysis. The Fellow may also contribute to research outputs and develop an independent research question using project data, in consultation with the research team.