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Employment Data in Household Surveys : Taking Stock, Looking Ahead

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  • Desiere,Sam
  • Costa,Valentina

Abstract

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.

Suggested Citation

  • Desiere,Sam & Costa,Valentina, 2019. "Employment Data in Household Surveys : Taking Stock, Looking Ahead," Policy Research Working Paper Series 8882, The World Bank.
    • Handle: RePEc:wbk:wbrwps:8882
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    Citations

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    Cited by:

    1. Haroon Bhorat & Ravi Kanbur & Benjamin Stanwix & Amy Thornton, 2021. "Measuring Multi‐Dimensional Labour Law Violation with an Application to South Africa," British Journal of Industrial Relations, London School of Economics, vol. 59(3), pages 928-961, September.
    2. Ambler, Kate & Herskowitz, Sylvan & Maredia, Mywish K., 2021. "Are we done yet? Response fatigue and rural livelihoods," Journal of Development Economics, Elsevier, vol. 153(C).
    3. Peterson-Wilhelm, Bailey, 2023. "The Impact of Telescoping Bias on Income and Price Elasticities," 2023 Annual Meeting, July 23-25, Washington D.C. 335715, Agricultural and Applied Economics Association.
    4. Koolwal, Gayatri B., 2021. "Improving the measurement of rural women's employment: Global momentum and survey priorities," World Development, Elsevier, vol. 147(C).
    5. Dervisevic, Ervin & Goldstein, Markus, 2021. "He Said, She Said: The Impact of Gender and Marriage Perceptions on Self and Proxy Reporting of Labor," 2021 Conference, August 17-31, 2021, Virtual 315396, International Association of Agricultural Economists.
    6. Dervisevic, Ervin & Goldstein, Markus, 2023. "He said, she said: The impact of gender and marriage perceptions on self and proxy reporting of labor," Journal of Development Economics, Elsevier, vol. 161(C).

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