Employment Data in Household Surveys : Taking Stock, Looking Ahead
Individual-level employment data have a wide range of applications. They are used to monitor labor markets and the Sustainable Development Goals, contribute to understanding and explaining socioeconomic conditions, and may help to design and inform...
| Main Authors: | , |
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| Format: | Working Paper |
| Language: | English |
| Published: |
World Bank, Washington, DC
2019
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/658231560260668780/Employment-Data-in-Household-Surveys-Taking-Stock-Looking-Ahead http://hdl.handle.net/10986/31872 |
| Summary: | Individual-level employment data have a
wide range of applications. They are used to monitor labor
markets and the Sustainable Development Goals, contribute to
understanding and explaining socioeconomic conditions, and
may help to design and inform labor market policies. This
paper is relevant for academics and policy makers who want
to understand the main survey design issues behind the
collection of individual-level employment data in nationally
representative household surveys and the implications for
data quality, particularly for women and young people. The
paper reviews four survey programs (Living Standards
Measurement Study, Living Standards Measurement
Study–Integrated Surveys on Agriculture, Labor Force
Surveys, and Demographic and Health Surveys) in 14
developing countries. First, the paper reviews the
Sustainable Development Goals to identify a core set of
labor market indicators and briefly discusses the
International Labour Organization's definitions of key
concepts that shape these indicators. Second, it assesses
whether the Sustainable Development Goals labor market
indicators are captured in the reviewed surveys. Third, it
takes stock of current approaches to collect employment data
and discusses critical survey design features, such as the
structure of the labor module and the wording of the
questions. Fourth, the paper examines whether these survey
design features are gender and age neutral. Data from the
Living Standards Measurement Study–Integrated Surveys on
Agriculture are used to illustrate these issues. The paper
concludes by proposing short- and medium-term objectives to
improve the data quality in the Living Standards Measurement
Study–Integrated Surveys on Agriculture. |
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