Estimating Obesity Rates in the Presence of Measurement Error

No 7288, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: Reliable measures of obesity are essential in order to develop effective policies to tackle the costs of obesity. In this paper we examine what, if anything, we can learn about obesity rates using self-reported BMI once we allow for possible measurement error. We combine self-reported data on BMI with estimated misclassification rates obtained from auxiliary data to derive upper and lower bounds for the population obesity rate for ten European countries. For men it is possible to obtain meaningful comparisons across countries even after accounting for measurement error. In particular the self-reported data identifies a set of low obesity countries consisting of Denmark, Ireland, Italy, Greece and Portugal and a set of high obesity countries consisting of Spain and Finland. However, it is more difficult to rank countries by female obesity rates. Meaningful rankings only emerge when the misclassification rate is bounded at a level that is much lower than that observed in auxiliary data. A similar limit on misclassification rates is also needed before we can begin to observe meaningful gender differences in obesity rates within countries.

Keywords: obesity; measurement error; bounds (search for similar items in EconPapers)
JEL-codes: C13 C26 I14 (search for similar items in EconPapers)
Pages: 18 pages
Date: 2013-03
New Economics Papers: this item is included in nep-hea
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Citations: View citations in EconPapers (5)

Published - published as 'Bounding Obesity Rates in the Presence of Self-Reporting Errors' in; Empirical Economics, 2016, 50, 857-871

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Related works:
Working Paper: Estimating Obesity Rates in Europe in the Presence of Self-Reporting Errors (2013)
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