Reporting error in weight and its implications for bias in economic models
John Cawley (),
Mette Hammer and
Economics & Human Biology, 2015, vol. 19, issue C, 27-44
Most research on the economic consequences of obesity uses data on self-reported weight, which contains reporting error that has the potential to bias coefficient estimates in economic models. The purpose of this paper is to measure the extent and characteristics of reporting error in weight, and to examine its impact on regression coefficients in models of the healthcare consequences of obesity.
Keywords: Weight; Obesity; Reporting error; Bias (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ehbiol:v:19:y:2015:i:c:p:27-44
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