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Body Weight and Labour Market Outcomes in Post-Soviet Russia

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  • Huffman, Sonya K.
  • Rizov, Marian

Abstract

This paper estimates the impacts of weight, measured by body mass index (BMI), on employment, wages, and missed work due to illness for Russian adults by gender, in order to better understand the mechanisms through which obesity affects employment, wages, and sick-leave days using recent panel data (1994-2005) from the nationally representative Russian Longitudinal Monitoring Survey (RLMS). We employ econometric techniques to control for unobserved heterogeneity and potential biases due to endogeneity in BMI. The results show an inverted U-shaped effect of BMI on probability of employment for men and women. We did not find evidence of wage penalty for higher BMI. In fact, the wages for overweighed men are higher. However, having a BMI above 28.3 increases the number of days missing work days due to health problems for men. Overall, we find negative effects of obesity (BMI above 30) on employment only for women but not on wages. During the transition in Russia, the increasingly competitive pressure in the labour market combined with economic insecurity faced by the population has lead to a muted impact of an individual’s weight on labour market outcomes.

Suggested Citation

  • Huffman, Sonya K. & Rizov, Marian, 2011. "Body Weight and Labour Market Outcomes in Post-Soviet Russia," ISU General Staff Papers 201105050700001221, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genstf:201105050700001221
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Larose, Samantha L. & Kpelitse, Koffi A. & Campbell, M. Karen & Zaric, Gregory S. & Sarma, Sisira, 2016. "Does obesity influence labour market outcomes among working-age adults? Evidence from Canadian longitudinal data," Economics & Human Biology, Elsevier, vol. 20(C), pages 26-41.
    2. Chu, Filmer & Ohinmaa, Arto, 2016. "The obesity penalty in the labor market using longitudinal Canadian data," Economics & Human Biology, Elsevier, vol. 23(C), pages 10-17.

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    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • O51 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada

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