Do Former College Athletes Earn More at Work?: A Nonparametric Assessment
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.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
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.:
- 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 493-509 National Bureau of Economic Research, Inc.
- 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.
- 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.
- 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.
- Eide, Eric R. & Ronan, Nick, 2001. "Is participation in high school athletics an investment or a consumption good?: Evidence from high school and beyond," Economics of Education Review, Elsevier, vol. 20(5), pages 431-442, October.
- John M. Barron & Bradley T. Ewing & Glen R. Waddell, 2000. "The Effects Of High School Athletic Participation On Education And Labor Market Outcomes," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 409-421, August.
- 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.
- 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.
- 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.
- Qi Li & Esfandiar Maasoumi & Jeffrey S. Racine, 2008.
"A Nonparametric Test for Equality of Distributions with Mixed Categorical and Continuous Data,"
0805, Department of Economics, Emory University (Atlanta).
- 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.
- 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.
- Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
- Pagan,Adrian & Ullah,Aman, 1999.
Cambridge University Press, number 9780521355643, 1.
- 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.
When requesting a correction, please mention this item's handle: RePEc:uwp:jhriss:v:41:y:2006:i:3:p558-577. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.