Addressing Non-response Bias in Surveys of Wealthy Households in Low- and Middle-Income Countries: Strategies and Implementation

Autor: Choumert-Nkolo, Johanna, Santana Tavera, Gabriela, Saxena, Prakhar
Přispěvatelé: EDI Global, London, UK (EDI Global, London, UK), Centre d'Études et de Recherches sur le Développement International (CERDI), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Université Clermont Auvergne (UCA), University of Göttingen, Göttingen, Germany
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: The Journal of Development Studies
The Journal of Development Studies, 2023, pp.1-16. ⟨10.1080/00220388.2023.2217998⟩
ISSN: 0022-0388
1743-9140
DOI: 10.1080/00220388.2023.2217998⟩
Popis: International audience; 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.
Databáze: OpenAIRE
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