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Do Former College Athletes Earn More at Work?: A Nonparametric Assessment

Author

Listed:
  • Daniel J. Henderson
  • Alexandre Olbrecht
  • Solomon W. Polachek

Abstract

This paper investigates how students’ collegiate athletic participation affects their subsequent labor market success. By using newly developed techniques in nonparametric regression, it shows that on average former college athletes earn a wage premium. However, the premium is not uniform, but skewed so that more than half the athletes actually earn less than nonathletes. Further, the premium is not uniform across occupations. Athletes earn more in the fields of business, military, and manual labor, but surprisingly, athletes are more likely to become high school teachers, jobs that pay relatively lower wages to athletes.

Suggested Citation

  • Daniel J. Henderson & Alexandre Olbrecht & Solomon W. Polachek, 2006. "Do Former College Athletes Earn More at Work?: A Nonparametric Assessment," Journal of Human Resources, University of Wisconsin Press, vol. 41(3).
  • Handle: RePEc:uwp:jhriss:v:41:y:2006:i:3:p558-577
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Fricke, Hans & Lechner, Michael & Steinmayr, Andreas, 2017. "The Effect of Physical Activity on Student Performance in College: An Experimental Evaluation," CEPR Discussion Papers 12052, C.E.P.R. Discussion Papers.
    2. Lechner, Michael, 2009. "Long-run labour market and health effects of individual sports activities," Journal of Health Economics, Elsevier, vol. 28(4), pages 839-854, July.
    3. Zhu, Rong, 2011. "NILS Working paper no 170. The impact of major--job mismatch on college graduates' early career earnings," NILS Working Papers 26072, National Institute of Labour Studies.
    4. Müller, Michael, 2015. "Der Zusammenhang zwischen sportlicher (Wettkampf-)Aktivität und kognitiver Leistung," Discussion Papers of the Institute for Organisational Economics 1/2015, University of Münster, Institute for Organisational Economics.
    5. Michael Mueller, 2016. "Does Sporting Activity Foster Career Advancement?," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 2(4), pages 285-298.
    6. Lundin, Martin & Nordström Skans, Oskar & Zetterberg, Pär, 2016. "Leadership experiences, labor market entry, and early career trajectories," Working Paper Series 2016:2, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    7. Olbrecht, Alexandre, 2009. "Do academically deficient scholarship athletes earn higher wages subsequent to graduation?," Economics of Education Review, Elsevier, vol. 28(5), pages 611-619, October.
    8. Müller, Michael, 2016. "Fördert sportliche Aktivität den beruflichen Aufstieg?," Discussion Papers of the Institute for Organisational Economics 02/2016, University of Münster, Institute for Organisational Economics.
    9. repec:ner:leuven:urn:hdl:123456789/424882 is not listed on IDEAS
    10. Zhu, Rong, 2011. "Individual heterogeneity in returns to education in urban China during 1995-2002," Economics Letters, Elsevier, vol. 113(1), pages 84-87, October.
    11. Steven Caudill & James Long, 2010. "Do former athletes make better managers? Evidence from a partially adaptive grouped-data regression model," Empirical Economics, Springer, pages 275-290.
    12. Barbara Kotschwar, 2014. "Women, Sports, and Development: Does It Pay to Let Girls Play?," Policy Briefs PB14-8, Peterson Institute for International Economics.
    13. Caruso, Raul, 2011. "Crime and sport participation: Evidence from Italian regions over the period 1997–2003," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(5), pages 455-463.
    14. Ozkan Eren & Daniel J. Henderson, 2008. "The impact of homework on student achievement," Econometrics Journal, Royal Economic Society, vol. 11(2), pages 326-348, July.
    15. Michael Müller, 2016. "Der Zusammenhang zwischen sportlicher (Wettkampf-)Aktivität und kognitiver Leistung," SOEPpapers on Multidisciplinary Panel Data Research 838, DIW Berlin, The German Socio-Economic Panel (SOEP).

    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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