 How accurate are recall data? Evidence from coastal IndiaFrancesca de Nicola and Xavier Gine Journal of Development Economics, 2014, vol. 106, issue C, 52-65 Abstract: This paper investigates the accuracy of recall data by comparing administrative records with retrospective, self-reported survey responses to income and asset questions for a sample of self-employed households from coastal India. It finds that the magnitude of the recall error increases over time, in part because respondents resort to inference rather than memory. Monthly earnings that are higher than the median are also better recalled. These results have implications for the accuracy of the moments of the self-reported earnings distribution. It also finds that income earners are more accurate than their wives. In addition, the use of time cues can worsen accuracy if they are not relevant to the respondent, and the position of the recall questions in the two-hour long survey does not affect accuracy. Keywords: Self-employment; Recall error; Measurement error; Telescoping (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:deveco:v:106:y:2014:i:c:p:52-65 DOI: 10.1016/j.jdeveco.2013.08.008 Access Statistics for this article Journal of Development Economics is currently edited by M. R. Rosenzweig More articles in Journal of Development Economics from Elsevier |
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