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

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Author Info
Daniel J. Henderson
Alexandre Olbrecht
Solomon W. Polachek

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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.

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Publisher Info
Article provided by University of Wisconsin Press in its journal Journal of Human Resources.

Volume (Year): 41 (2006)
Issue (Month): 3 ()
Pages:
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Handle: RePEc:uwp:jhriss:v:41:y:2006:i:3:p558-577

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Li, Qi & Maasoumi, Esfandiar & Racine, Jeffrey S., 2009. "A nonparametric test for equality of distributions with mixed categorical and continuous data," Journal of Econometrics, Elsevier, vol. 148(2), pages 186-200, February. [Downloadable!] (restricted)
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  2. Qi Li, 1996. "Nonparametric testing of closeness between two unknown distribution functions," Econometric Reviews, Taylor and Francis Journals, vol. 15(3), pages 261-274. [Downloadable!] (restricted)
  3. Willis, Robert J & Rosen, Sherwin, 1979. "Education and Self-Selection," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages S7-36, October. [Downloadable!] (restricted)
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  4. Li, Qi & Ouyang, Desheng, 2005. "Uniform convergence rate of kernel estimation with mixed categorical and continuous data," Economics Letters, Elsevier, vol. 86(2), pages 291-296, February. [Downloadable!] (restricted)
  5. Peter Hall & Jeff Racine & Qi Li, 2004. "Cross-Validation and the Estimation of Conditional Probability Densities," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 1015-1026, December. [Downloadable!] (restricted)
  6. Li, Qi & Racine, Jeff, 2003. "Nonparametric estimation of distributions with categorical and continuous data," Journal of Multivariate Analysis, Elsevier, vol. 86(2), pages 266-292, August. [Downloadable!] (restricted)
  7. Qi Li & Thomas J. Kniesner, 2002. "Nonlinearity in dynamic adjustment: Semiparametric estimation of panel labor supply," Empirical Economics, Springer, vol. 27(1), pages 131-148. [Downloadable!] (restricted)
  8. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March. [Downloadable!] (restricted)
  9. Long, James E & Caudill, Steven B, 1991. "The Impact of Participation in Intercollegiate Athletics on Income and Graduation," The Review of Economics and Statistics, MIT Press, vol. 73(3), pages 525-31, August. [Downloadable!] (restricted)
  10. Forrest D. Nelson, 1976. "On a General Computer Algorithm for the Analysis of Models with Limited Dependent Variables," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 138-154 National Bureau of Economic Research, Inc. [Downloadable!]
  11. Bradley Ewing, 1995. "High school athletics and the wages of black males," The Review of Black Political Economy, Springer, vol. 24(1), pages 65-78, June. [Downloadable!] (restricted)
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  1. Eren,Ozkan & Henderson,J. Daniel, 2006. "The Impact of Homework on Student Achievement," Departmental Working Papers 0518, Southern Methodist University, Department of Economics, revised 12 May 2006. [Downloadable!]
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