posted on 2019-02-14, 13:29authored byH Nakata, Y Sawada, M Tanaka
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.
Funding
This work was supported by the Research Institute of Economy, Trade and Industry (RIETI) [NA].
History
Citation
Journal of Development Studies, 2018
Author affiliation
/Organisation/COLLEGE OF SOCIAL SCIENCES, ARTS AND HUMANITIES/School of Business
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