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Estimating Obesity Rates in the Presence of Measurement Error

  • O'Neill, Donal

    ()

    (National University of Ireland, Maynooth)

  • Sweetman, Olive

    ()

    (National University of Ireland, Maynooth)

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.

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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 7288.

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Length: 18 pages
Date of creation: Mar 2013
Date of revision:
Publication status: forthcoming in Empirical Economics, 2015 under title"Bounding Obesity Rates in the Presence of Self-Reporting Errors"
Handle: RePEc:iza:izadps:dp7288
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  1. Molinari, Francesca, 2008. "Partial identification of probability distributions with misclassified data," Journal of Econometrics, Elsevier, vol. 144(1), pages 81-117, May.
  2. John Cawley & Richard V. Burkhauser, 2006. "Beyond BMI: The Value of More Accurate Measures of Fatness and Obesity in Social Science Research," NBER Working Papers 12291, National Bureau of Economic Research, Inc.
  3. Cheti Nicoletti & Franco Peracchi & Francesca Foliano, 2009. "Estimating Income Poverty in the Presence of Missing Data and Measurement Error," SOEPpapers on Multidisciplinary Panel Data Research 252, DIW Berlin, The German Socio-Economic Panel (SOEP).
  4. Toni Mora, 2010. "BMI and Spanish labour status: evidence by gender from the city of Barcelona," The European Journal of Health Economics, Springer, vol. 11(3), pages 239-253, June.
  5. O'Neill, Donal & Sweetman, Olive, 2012. "The Consequences of Measurement Error when Estimating the Impact of BMI on Labour Market Outcomes," IZA Discussion Papers 7008, Institute for the Study of Labor (IZA).
  6. Donal O’Neill & Olive Sweetman, 2013. "The consequences of measurement error when estimating the impact of obesity on income," IZA Journal of Labor Economics, Springer, vol. 2(1), pages 1-20, December.
  7. Brunello, Giorgio & D'Hombres, Beatrice, 2007. "Does body weight affect wages?: Evidence from Europe," Economics & Human Biology, Elsevier, vol. 5(1), pages 1-19, March.
  8. Paul P. Biemer & Christopher Wiesen, 2002. "Measurement error evaluation of self-reported drug use: a latent class analysis of the US National Household Survey on Drug Abuse," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 97-119.
  9. Fernando Antonanzas & Roberto Rodríguez, 2010. "Feeding the economics of obesity in the EU in a healthy way," The European Journal of Health Economics, Springer, vol. 11(4), pages 351-353, August.
  10. John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
  11. Lindeboom, Maarten & Lundborg, Petter & van der Klaauw, Bas, 2010. "Assessing the impact of obesity on labor market outcomes," Economics & Human Biology, Elsevier, vol. 8(3), pages 309-319, December.
  12. Hausman, J. A. & Abrevaya, Jason & Scott-Morton, F. M., 1998. "Misclassification of the dependent variable in a discrete-response setting," Journal of Econometrics, Elsevier, vol. 87(2), pages 239-269, September.
  13. A. Konnopka & M. Bödemann & H.-H. König, 2011. "Health burden and costs of obesity and overweight in Germany," The European Journal of Health Economics, Springer, vol. 12(4), pages 345-352, August.
  14. Richard Breen & Pasi Moisio, 2004. "Poverty dynamics corrected for measurement error," Journal of Economic Inequality, Springer, vol. 2(3), pages 171-191, July.
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