O'Neill, Donal and Sweetman, Olive (2013) Estimating Obesity Rates in the Presence of Measurement Error. IZA Discussion Paper No. 7288. Discussion Paper. IZA (Institute for the Study of Labor), Bonn.
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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 selfreported
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.
Item Type: | Monograph (Discussion Paper) |
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Keywords: | obesity; measurement error; bounds; |
Academic Unit: | Faculty of Social Sciences > Economics, Finance and Accounting |
Item ID: | 4339 |
Depositing User: | Olive Sweetman |
Date Deposited: | 07 May 2013 15:27 |
Publisher: | IZA (Institute for the Study of Labor) |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/4339 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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