Addressing Non-response Bias in Surveys of Wealthy Households in Low- and Middle-Income Countries: Strategies and Implementation
Johanna Choumert-Nkolo,
Gabriela Santana Tavera and
Prakhar Saxena
Additional contact information
Johanna Choumert-Nkolo: EDI Global, London, UK - EDI Global, London, UK, CERDI - Centre d'Études et de Recherches sur le Développement International - IRD - Institut de Recherche pour le Développement - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne
Gabriela Santana Tavera: University of Göttigen
Prakhar Saxena: EDI Global, London, UK - EDI Global, London, UK, UCA - Université Clermont Auvergne
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Abstract:
Survey data is a crucial tool for understanding behaviours in low-and middle-income countries (LMICs), but it is often subject to various biases that impede statistical inference. One of these biases is the systematic non-response of wealthy populations, which poses a considerable risk to research on income and wealth inequality, entrepreneurship, consumer behaviour, housing markets, demand for urban services, education and career trajectories, and other topics relevant to these groups. This article offers a technical and methodological review of non-response bias inherent in surveys of wealthy households, encompassing unit non-response and item non-response. Based on a literature review, we suggest a range of strategies that can be used to minimize these biases, starting with strategies for implementing the survey itself and then proposing solutions for adjusting the sample after the survey. This article provides researchers and survey managers with a theoretical understanding of the issues at stake, as well as practical tools for mitigating biases specific to surveys of wealthy households in LMICs.
Keywords: Household survey high-income middle-class non-response survey bias JEL CLASSIFICATION CODES: O12 C81 C83; Household survey; high-income; middle-class; non-response; survey bias JEL CLASSIFICATION CODES: O12; C81; C83 (search for similar items in EconPapers)
Date: 2023-06-14
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Citations: View citations in EconPapers (1)
Published in The Journal of Development Studies, 2023, pp.1-16. ⟨10.1080/00220388.2023.2217998⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04131153
DOI: 10.1080/00220388.2023.2217998
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