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Are You Being Asked? Impacts of Respondent Selection on Measuring Employment in Malawi

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  • Talip Kilic
  • Goedele Van den
  • Gayatri Koolwal
  • Heather Moylan

Abstract

Accurate estimates of men's and women's employment are necessary for understanding sources of productivity and growth and designing well-targeted, gender-sensitive labour policies. This paper aims to address a key question—how respondent selection in household and labour force surveys affects these estimates—by leveraging two concurrent national surveys in Malawi that relied on the same questionnaire and field teams but differed in their approach to respondent selection. As compared with direct and private interviews with respondents, the ‘business-as-usual’ approach that allows for proxy reporting when targeted respondents are not available, as well as a mix of other standard survey approaches often used under time and resource constraints, is associated with significantly lower reporting of employment across a range of wage and self-employment activities. Although the effects are seemingly limited in absolute terms, they are quite large in relative terms, vis-à-vis the average participation rates and they tend to be more pronounced for women respondents and concerning questions with longer/12-month recall periods. The analysis also examines how household wealth, proxy reporting and difficulties associated with interpreting questions may be linked to lower reporting in the business-as-usual approach, and which can be examined in future methodological experimentation.

Suggested Citation

  • Talip Kilic & Goedele Van den & Gayatri Koolwal & Heather Moylan, 2023. "Are You Being Asked? Impacts of Respondent Selection on Measuring Employment in Malawi," Journal of African Economies, Centre for the Study of African Economies, vol. 32(5), pages 495-522.
  • Handle: RePEc:oup:jafrec:v:32:y:2023:i:5:p:495-522.
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    References listed on IDEAS

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    1. John M. Abowd & Martha H. Stinson, 2013. "Estimating Measurement Error in Annual Job Earnings: A Comparison of Survey and Administrative Data," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1451-1467, December.
    2. Serneels, Pieter & Beegle, Kathleen & Dillon, Andrew, 2017. "Do returns to education depend on how and whom you ask?," Economics of Education Review, Elsevier, vol. 60(C), pages 5-19.
    3. Kilic, Talip & Moylan, Heather & Koolwal, Gayatri, 2021. "Getting the (Gender-Disaggregated) lay of the land: Impact of survey respondent selection on measuring land ownership and rights," World Development, Elsevier, vol. 146(C).
    4. Arthi, Vellore & Beegle, Kathleen & De Weerdt, Joachim & Palacios-López, Amparo, 2018. "Not your average job: Measuring farm labor in Tanzania," Journal of Development Economics, Elsevier, vol. 130(C), pages 160-172.
    5. 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).
    6. Beegle, Kathleen & Galasso, Emanuela & Goldberg, Jessica, 2017. "Direct and indirect effects of Malawi's public works program on food security," Journal of Development Economics, Elsevier, vol. 128(C), pages 1-23.
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    Cited by:

    1. Masselus, Lise & Fiala, Nathan, 2024. "Whom to ask? Testing respondent effects in household surveys," Journal of Development Economics, Elsevier, vol. 168(C).

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    More about this item

    Keywords

    Sub-Saharan Africa; Malawi; household surveys; respondent selection; labour; gender; JEL classification: C83; J21; J16;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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