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Athletic Scholarships in Intercollegiate Football

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  • Joshua D. Pitts
  • Jon Paul Rezek

Abstract

Despite the financial and cultural importance of intercollegiate athletics in the United States, there is a paucity of research into how athletic scholarships are awarded. In this article, the authors empirically examine the factors that universities use in their decision to offer athletic scholarships to high school football players. Using a Zero-Inflated Negative Binomial (ZINB) model, the authors find a player’s weight, height, body mass index (BMI), race, speed, on-the-field performance, and his high school team’s success often have large and significant impacts on the number of scholarship offers he receives. There is also evidence of a negative relationship between academic performance and scholarship offers. In addition, the authors find evidence of a scholarship premium for players from Florida and Texas. The results also show that running backs, wide receivers, and defensive backs appear to generate the most attention from college football coaches, other things equal.

Suggested Citation

  • Joshua D. Pitts & Jon Paul Rezek, 2012. "Athletic Scholarships in Intercollegiate Football," Journal of Sports Economics, , vol. 13(5), pages 515-535, October.
    • Handle: RePEc:sae:jospec:v:13:y:2012:i:5:p:515-535
    DOI: 10.1177/1527002511409239
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    References listed on IDEAS

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    1. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    2. Michael Leeds, 2003. "Race, incentives, and opportunities: The importance of timing," The Review of Black Political Economy, Springer;National Economic Association, vol. 30(3), pages 55-69, December.
    3. J. Michael Dumond & Allen K. Lynch & Jennifer Platania, 2008. "An Economic Model of the College Football Recruiting Process," Journal of Sports Economics, , vol. 9(1), pages 67-87, February.
    4. Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December.
    5. William H. Greene, 1994. "Accounting for Excess Zeros and Sample Selection in Poisson and Negative Binomial Regression Models," Working Papers 94-10, New York University, Leonard N. Stern School of Business, Department of Economics.
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    Cited by:

    1. Joshua Pitts & Daniel Yost, 2013. "Racial Position Segregation in Intercollegiate Football: Do Players become more Racially Segregated as they Transition from High School to College?," The Review of Black Political Economy, Springer;National Economic Association, vol. 40(2), pages 207-230, June.
    2. J. D. Pitts & B. Evans, 2016. "The role of conference externalities and other factors in determining the annual recruiting rankings of football bowl subdivision (FBS) teams," Applied Economics, Taylor & Francis Journals, vol. 48(33), pages 3164-3174, July.
    3. McDonald Paul Mirabile & Mark David Witte, 2017. "A Discrete-Choice Model of a College Football Recruit’s Program Selection Decision," Journal of Sports Economics, , vol. 18(3), pages 211-238, April.

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