IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04131153.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Johanna Choumert-Nkolo & Gabriela Santana Tavera & Prakhar Saxena, 2023. "Addressing Non-response Bias in Surveys of Wealthy Households in Low- and Middle-Income Countries: Strategies and Implementation," Post-Print hal-04131153, HAL.
    • Handle: RePEc:hal:journl:hal-04131153
    DOI: 10.1080/00220388.2023.2217998
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    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;
    All these keywords.

    JEL classification:

    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-04131153. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.