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The Dynamic Effects of Obesity on the Wages of Young Workers

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  • Pinkston, Joshua

Abstract

This paper considers effects of body mass on wages in the years following labor market entry. The preferred models allow current wages to be affected by both past and current body mass, as well as past wages, while also addressing the endogeneity of body mass. I find that a history of severe obesity has a large negative effect on the wages of white men. White women face a penalty for a history of being overweight, with additional penalties for both past and current BMI that begin above the threshold for severe obesity. Furthermore, the effects of past wages on current wages imply that past body mass has additional, indirect effects on wages, especially for white women.

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  • Pinkston, Joshua, 2015. "The Dynamic Effects of Obesity on the Wages of Young Workers," MPRA Paper 64641, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:64641
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    1. Audra J. Bowlus & Zvi Eckstein, 2002. "Discrimination and Skill Differences in an Equilibrium Search Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(4), pages 1309-1345, November.
    2. Christian A. Gregory & Christopher J. Ruhm, 2011. "Where Does the Wage Penalty Bite?," NBER Chapters, in: Economic Aspects of Obesity, pages 315-347, National Bureau of Economic Research, Inc.
    3. Sabia, Joseph J. & Rees, Daniel I., 2012. "Body weight and wages: Evidence from Add Health," Economics & Human Biology, Elsevier, vol. 10(1), pages 14-19.
    4. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    5. Kahn, Lisa B., 2010. "The long-term labor market consequences of graduating from college in a bad economy," Labour Economics, Elsevier, vol. 17(2), pages 303-316, April.
    6. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1993. "Long-term earnings losses of high-seniority displaced workers," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 17(Nov), pages 2-20.
    7. Dana Goldman & Darius Lakdawalla & Yuhui Zheng, 2011. "Food Prices and the Dynamics of Body Weight," NBER Chapters, in: Economic Aspects of Obesity, pages 65-90, National Bureau of Economic Research, Inc.
    8. Arellano, Manuel & Honore, Bo, 2001. "Panel data models: some recent developments," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 53, pages 3229-3296, Elsevier.
    9. Kevin Lang & Michael Manove & William T. Dickens, 2005. "Racial Discrimination in Labor Markets with Posted Wage Offers," American Economic Review, American Economic Association, vol. 95(4), pages 1327-1340, September.
    10. Michaud, Pierre-Carl & van Soest, Arthur, 2008. "Health and wealth of elderly couples: Causality tests using dynamic panel data models," Journal of Health Economics, Elsevier, vol. 27(5), pages 1312-1325, September.
    11. Susan Averett & Sanders Korenman, 1996. "The Economic Reality of the Beauty Myth," Journal of Human Resources, University of Wisconsin Press, vol. 31(2), pages 304-330.
    12. Pierre-André Chiappori & Sonia Oreffice & Climent Quintana-Domeque, 2012. "Fatter Attraction: Anthropometric and Socioeconomic Matching on the Marriage Market," Journal of Political Economy, University of Chicago Press, vol. 120(4), pages 659-695.
    13. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    14. Dan-Olof Rooth, 2009. "Obesity, Attractiveness, and Differential Treatment in Hiring: A Field Experiment," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    15. Neal, Derek, 1999. "The Complexity of Job Mobility among Young Men," Journal of Labor Economics, University of Chicago Press, vol. 17(2), pages 237-261, April.
    16. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    17. David Bjerk, 2008. "Glass Ceilings or Sticky Floors? Statistical Discrimination in a Dynamic Model of Hiring and Promotion," Economic Journal, Royal Economic Society, vol. 118(530), pages 961-982, July.
    18. Oettinger, Gerald S, 1996. "Statistical Discrimination and the Early Career Evolution of the Black-White Wage Gap," Journal of Labor Economics, University of Chicago Press, vol. 14(1), pages 52-78, January.
    19. Bond, Stephen & Bowsher, Clive & Windmeijer, Frank, 2001. "Criterion-based inference for GMM in autoregressive panel data models," Economics Letters, Elsevier, vol. 73(3), pages 379-388, December.
    20. Robert H. Topel & Michael P. Ward, 1992. "Job Mobility and the Careers of Young Men," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 439-479.
    21. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    22. Semykina, Anastasia & Wooldridge, Jeffrey M., 2010. "Estimating panel data models in the presence of endogeneity and selection," Journal of Econometrics, Elsevier, vol. 157(2), pages 375-380, August.
    23. Euna Han & Edward C. Norton & Sally C. Stearns, 2009. "Weight and wages: fat versus lean paychecks," Health Economics, John Wiley & Sons, Ltd., vol. 18(5), pages 535-548, May.
    24. John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    25. Joseph G. Altonji & Charles R. Pierret, 2001. "Employer Learning and Statistical Discrimination," The Quarterly Journal of Economics, Oxford University Press, vol. 116(1), pages 313-350.
    26. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    28. Chen, Alice J., 2012. "When does weight matter most?," Journal of Health Economics, Elsevier, vol. 31(1), pages 285-295.
    29. Brendan Kline & Justin L. Tobias, 2008. "The wages of BMI: Bayesian analysis of a skewed treatment-response model with nonparametric endogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 767-793.
    30. Joseph G. Altonji & Prashant Bharadwaj & Fabian Lange, 2012. "Changes in the Characteristics of American Youth: Implications for Adult Outcomes," Journal of Labor Economics, University of Chicago Press, vol. 30(4), pages 783-828.
    31. Bhattacharya, Jay & Bundorf, M. Kate, 2009. "The incidence of the healthcare costs of obesity," Journal of Health Economics, Elsevier, vol. 28(3), pages 649-658, May.
    32. 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, September.
    33. John Cawley & Euna Han & Edward C. Norton, 2011. "The validity of genes related to neurotransmitters as instrumental variables," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 884-888, August.
    34. Philip Oreopoulos & Till von Wachter & Andrew Heisz, 2012. "The Short- and Long-Term Career Effects of Graduating in a Recession," American Economic Journal: Applied Economics, American Economic Association, vol. 4(1), pages 1-29, January.
    35. Andrews, Donald W. K. & Lu, Biao, 2001. "Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models," Journal of Econometrics, Elsevier, vol. 101(1), pages 123-164, March.
    36. Shu Ng & Edward Norton & David Guilkey & Barry Popkin, 2012. "Estimation of a dynamic model of weight," Empirical Economics, Springer, vol. 42(2), pages 413-443, April.
    37. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    38. Johansson, Edvard & Böckerman, Petri & Kiiskinen, Urpo & Heliövaara, Markku, 2009. "Obesity and labour market success in Finland: The difference between having a high BMI and being fat," Economics & Human Biology, Elsevier, vol. 7(1), pages 36-45, March.
    39. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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    Cited by:

    1. Donna Gilleskie & Euna Han & Edward Norton, 2017. "Disentangling the Contemporaneous and Dynamic Effects of Human and Health Capital on Wages over the Life Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 25, pages 350-383, April.
    2. Courtemanche, Charles & Pinkston, Joshua C. & Stewart, Jay, 2015. "Adjusting body mass for measurement error with invalid validation data," Economics & Human Biology, Elsevier, vol. 19(C), pages 275-293.
    3. Joanna Sadowska & Izabela Dziaduch & Magda Bruszkowska & Karolina Ziółkowska, 2020. "BMI, Body Perception, and Approach to Eating and Diet in Adolescent Girls," SAGE Open, , vol. 10(4), pages 21582440209, October.
    4. Johanna Catherine Maclean & Asia Sikora Kessler, 2015. "Reporting error in weight and height among the elderly: Implications and recommendations for estimating healthcare costs," DETU Working Papers 1501, Department of Economics, Temple University.
    5. MORIKAWA Masayuki, 2018. "Smoking, Obesity, and Labor Market Outcomes: Evidence from Japan," Discussion papers 18023, Research Institute of Economy, Trade and Industry (RIETI).
    6. Frieder Kropfhäußer & Marco Sunder, 2014. "A Weighty Issue Revisited: The Dynamic Effect of Body Weight on Earnings and Satisfaction in Germany," SOEPpapers on Multidisciplinary Panel Data Research 635, DIW Berlin, The German Socio-Economic Panel (SOEP).
    7. Kazuma Sato, 2021. "Relationship between marital status and body mass index in Japan," Review of Economics of the Household, Springer, vol. 19(3), pages 813-841, September.
    8. Kropfhäußer, Frieder & Sunder, Marco, 2013. "A weighty issue revisited: the dynamic effect of body weight on earnings and satisfaction in Germany," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79895, Verein für Socialpolitik / German Economic Association.
    9. Nuñez, Roy, 2020. "Obesity and labor market in Peru," MPRA Paper 105621, University Library of Munich, Germany.

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    More about this item

    Keywords

    BMI; Obesity; Wages; Discrimination; Dynamic Panel Data Models;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J7 - Labor and Demographic Economics - - Labor Discrimination

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