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Short and Long Recall Errors in Retrospective Household Surveys: Evidence from a Developing Country

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  • Yasuyuki Sawada
  • Hiroyuki Nakata
  • Mari Tanaka

Abstract

While recall errors in retrospective data from household surveys may generate estimation biases, the nature and the relative magnitude of the errors are still largely unknown, especially in the context of developing countries. To bridge this gap in the existing studies, we conduct a resurvey of respondents of the Vietnam Household Living Standards Survey (VHLS) 2006. The combined data set allows us to investigate a variety of short-term and long-term errors associated with recall surveys. First, our empirical results suggest that when we ask total expenditure rather than categorised expenditures, long recall errors are no worse than short recall errors. Second, we found mean-reversion only for long recall errors in the sum of categorised expenditures but not necessarily for total expenditure. Finally, the inclusion of household size, asset, income, and geographical dummy variables in regression analyses may mitigate the biases arising from measurement errors.

Suggested Citation

  • Yasuyuki Sawada & Hiroyuki Nakata & Mari Tanaka, 2019. "Short and Long Recall Errors in Retrospective Household Surveys: Evidence from a Developing Country," Journal of Development Studies, Taylor & Francis Journals, vol. 55(10), pages 2232-2253, October.
  • Handle: RePEc:taf:jdevst:v:55:y:2019:i:10:p:2232-2253
    DOI: 10.1080/00220388.2018.1539478
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    Cited by:

    1. Malek, Mohammad Abdul & Kikkawa, Aiko & Azad, Abul Kalam & Sawada, Yasuyuki, 2022. "Rural Development in Bangladesh Over Four Decades: Findings from Mahabub Hossain Panel Data and the Way Forward," ADBI Working Papers 1350, Asian Development Bank Institute.
    2. Nakamura, Nobuyuki & Suzuki, Aya, 2022. "How Altruism Works during a Pandemic: Examining the Roles of Financial Support and Degrees of Individual Altruism on International Remittance," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322073, Agricultural and Applied Economics Association.

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