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Where Does the Wage Penalty Bite?

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Author Info
Christian A. Gregory
Christopher J. Ruhm

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Abstract

The literature examining the relationship between body mass index (BMI) and wages has fairly consistently found that BMI has a negative impact on earnings for women, and less (if any) consequences for men. In this paper, we relax the assumption -- largely unquestioned in this research -- that the conditional mean of wages is linear or piecewise linear in body mass index (BMI). Using data from the 1986 and 1999-2005 Panel Study of Income Dynamics, we estimate semi-parametric wage models that allow earnings to vary with BMI in a highly flexible manner. For women, the results show that earnings peak at levels far below the clinical threshold of "obesity" or even "overweight". For men, our main estimates suggest a reasonably flat BMI-wage profile that peaks early in the "overweight" category. However, the results of instrumental variables (IV) models or specifications focusing on long-lags of BMI are more similar to those for women. The findings for females (and the IV estimates for males) suggest that it is not obesity but rather some other factor -- such as physical attractiveness -- that produces the observed relationship between BMI and wages. We also provide non-parametric estimates of the association between BMI and health expenditures, using data from the Medical Expenditure Panel Survey. These cast further doubt on the hypothesis that the wage penalties associated with increasing BMI occur because the latter serve as an index for underlying medical costs.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 14984.

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Date of creation: May 2009
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Handle: RePEc:nbr:nberwo:14984

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I1 - Health, Education, and Welfare - - Health
I12 - Health, Education, and Welfare - - Health - - - Health Production

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  1. Burkhauser, Richard V. & Cawley, John, 2008. "Beyond BMI: The value of more accurate measures of fatness and obesity in social science research," Journal of Health Economics, Elsevier, vol. 27(2), pages 519-529, March. [Downloadable!] (restricted)
    Other versions:
  2. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843 Elsevier. [Downloadable!] (restricted)
  3. Jay Bhattacharya & M. Kate Bundorf, 2005. "The Incidence of the Healthcare Costs of Obesity," NBER Working Papers 11303, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  4. Roy Wada & Erdal Tekin, 2007. "Body Composition and Wages," NBER Working Papers 13595, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  5. Naci Mocan & Erdal Tekin, 2006. "Ugly Criminals," NBER Working Papers 12019, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  6. Bound, John, et al, 1994. "Evidence on the Validity of Cross-Sectional and Longitudinal Labor Market Data," Journal of Labor Economics, University of Chicago Press, vol. 12(3), pages 345-68, July. [Downloadable!] (restricted)
  7. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
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  8. Biddle, Jeff E & Hamermesh, Daniel S, 1998. "Beauty, Productivity, and Discrimination: Lawyers' Looks and Lucre," Journal of Labor Economics, University of Chicago Press, vol. 16(1), pages 172-201, January. [Downloadable!] (restricted)
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  9. Harper, Barry, 2000. " Beauty, Stature and the Labour Market: A British Cohort Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 62(0), pages 771-800, Special I. [Downloadable!] (restricted)
  10. Charles L. Baum & William F. Ford, 2004. "The wage effects of obesity: a longitudinal study," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 885-899. [Downloadable!]
  11. Duncan, Greg J & Hill, Daniel H, 1985. "An Investigation of the Extent and Consequences of Measurement Error in Labor-Economic Survey Data," Journal of Labor Economics, University of Chicago Press, vol. 3(4), pages 508-32, October. [Downloadable!] (restricted)
  12. French, Michael T, 2002. "Physical Appearance and Earnings: Further Evidence," Applied Economics, Taylor and Francis Journals, vol. 34(5), pages 569-72, March. [Downloadable!] (restricted)
  13. Chou, Shin-Yi & Grossman, Michael & Saffer, Henry, 2004. "An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System," Journal of Health Economics, Elsevier, vol. 23(3), pages 565-587, May. [Downloadable!] (restricted)
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  14. Markus M. Mobius & Tanya S. Rosenblat, 2006. "Why Beauty Matters," American Economic Review, American Economic Association, vol. 96(1), pages 222-235, March. [Downloadable!]
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