IDEAS home Printed from https://ideas.repec.org/a/sae/jospec/v21y2020i6p571-592.html
   My bibliography  Save this article

Revenue per Quality of College Football Recruit

Author

Listed:
  • Stephen A. Bergman
  • Trevon D. Logan

Abstract

There is significant debate about compensation of college athletes in revenue generating sports. In college football, the potential heterogeneity in player value has received little attention in the discussion. The relationship between player quality, team performance, and sport-specific revenue should inform any compensation scheme for college football players. In this article, we provide estimates of player monetary value in college football. This is the first study to exploit player-specific ex ante recruit ratings, team performance, and football-specific revenue and profit (revenue net of expenditures) to infer player valuations. This allows us to estimate value for players whose performance can be difficult to measure given traditional sport metrics. We use a unique data set which records individual recruits by ex ante star rating annually for every Football Bowl Subdivision (FBS) school and combine that data with data on team performance, bowl appearances by type, and football-specific revenue. Using a valuation approach which links player-specific quality to team performance and subsequently to revenue, we infer the value of recruits by their ex ante recruit rating. We estimate that five-star recruits increase annual revenue by US$650,000, four-star recruits increase revenue by roughly US$350,000, and three-star recruits increase revenue by US$150,000. Two-star recruits, however, are negatively related to revenue and profit, with two-star athletes reducing annual revenue by US$13,000. Overall, our results imply that player valuations are heterogeneous and that ex ante ratings of player quality are strongly related to school-specific football revenue and profit and may be predictive measures in a compensation scheme.

Suggested Citation

  • Stephen A. Bergman & Trevon D. Logan, 2020. "Revenue per Quality of College Football Recruit," Journal of Sports Economics, , vol. 21(6), pages 571-592, August.
  • Handle: RePEc:sae:jospec:v:21:y:2020:i:6:p:571-592
    DOI: 10.1177/1527002520921223
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1527002520921223
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1527002520921223?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Young Hoon Lee & David Berri, 2008. "A Re‐Examination Of Production Functions And Efficiency Estimates For The National Basketball Association," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(1), pages 51-66, February.
    2. Stephen A. Bergman & Trevon D. Logan, 2016. "The Effect of Recruit Quality on College Football Team Performance," Journal of Sports Economics, , vol. 17(6), pages 578-600, August.
    3. Fearnhead Paul & Taylor Benjamin Matthew, 2011. "On Estimating the Ability of NBA Players," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(3), pages 1-18, July.
    4. David J. Berri, 1999. "Who is 'most valuable'? Measuring the player's production of wins in the National Basketball Association," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 411-427.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Brent A. Evans & Christopher Clark & Joshua D. Pitts, 2024. "The Effects of Marijuana Legalization on NCAA Men's Basketball Recruiting," Journal of Sports Economics, , vol. 25(2), pages 200-216, February.
    2. Craig Garthwaite & Jordan Keener & Matthew Notowidigdo & Nicole Ozminkowski, 2020. "Who Profits from Amateurism? Rent-Sharing in Modern College Sports," Working Papers 2020-117, Becker Friedman Institute for Research In Economics.
    3. Craig Garthwaite & Jordan Keener & Matthew J. Notowidigdo & Nicole F. Ozminkowski, 2020. "Who Profits From Amateurism? Rent-Sharing in Modern College Sports," NBER Working Papers 27734, National Bureau of Economic Research, Inc.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrew W. Nutting, 2010. "Travel Costs in the NBA Production Function," Journal of Sports Economics, , vol. 11(5), pages 533-548, October.
    2. Ozmen M. Utku, 2012. "Foreign Player Quota, Experience and Efficiency of Basketball Players," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-18, March.
    3. Vaughan Williams, Leighton & Stekler, Herman O., 2010. "Sports forecasting," International Journal of Forecasting, Elsevier, vol. 26(3), pages 445-447, July.
      • Herman O. Stekler, 2007. "Sports Forecasting," Working Papers 2007-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Jan 2007.
    4. Smith, Gary & Hawkins, Jordan & Storrs, Jack, 2019. "College Football: Doing Less With More and More With Less," Economics Department, Working Paper Series 1008, Economics Department, Pomona College, revised 04 Jun 2019.
    5. Stacey L. Brook, 2021. "A Comparison of NCAA FBS Head Coaches Salary Determination From New and Modified Contracts," Journal of Sports Economics, , vol. 22(5), pages 491-513, June.
    6. Yupin Yang & Mengze Shi & Avi Goldfarb, 2009. "Estimating the Value of Brand Alliances in Professional Team Sports," Marketing Science, INFORMS, vol. 28(6), pages 1095-1111, 11-12.
    7. Wolfgang Maennig & Viktoria C. E. Schumann, 2022. "Prevention Effect of News Shocks in Anti-Doping Policies," Journal of Sports Economics, , vol. 23(4), pages 431-459, May.
    8. Macdonald Brian, 2012. "Adjusted Plus-Minus for NHL Players using Ridge Regression with Goals, Shots, Fenwick, and Corsi," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(3), pages 1-24, October.
    9. Nikos Chatzistamoulou & Kounetas Kostas & Antonakis Theodor, 2022. "Salary Cap, Organizational Gap, and Catch-up in the Performance of NBA Teams: A Two-Stage DEA Model Under Heterogeneity," Journal of Sports Economics, , vol. 23(2), pages 123-155, February.
    10. Stekler, H.O. & Sendor, David & Verlander, Richard, 2010. "Issues in sports forecasting," International Journal of Forecasting, Elsevier, vol. 26(3), pages 606-621, July.
      • Herman O. Stekler & David Sendor & Richard Verlander, 2009. "Issues in Sports Forecasting," Working Papers 2009-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    11. Jean-Baptiste Vilain, 2018. "Three essays in applied economics [Trois essais en économie appliquée]," SciencePo Working papers Main tel-03419493, HAL.
    12. Egon Franck & Stephan NŸesch, 2008. "The Effect of Talent Disparity on Team Performance in Soccer," Working Papers 0021, University of Zurich, Center for Research in Sports Administration (CRSA), revised 2009.
    13. José M. Sánchez Santos & Pablo Castellanos García & Jesus A. Dopico Castro, 2006. "The production process in basketball: Empirical evidence from Spanish league," Working Papers 0611, International Association of Sports Economists;North American Association of Sports Economists.
    14. Olugbenga Ajilore, 2014. "Do white NBA players suffer from reverse discrimination?," Economics Bulletin, AccessEcon, vol. 34(1), pages 558-566.
    15. Simmons, Rob & Berri, David J., 2011. "Mixing the princes and the paupers: Pay and performance in the National Basketball Association," Labour Economics, Elsevier, vol. 18(3), pages 381-388, June.
    16. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    17. repec:lan:wpaper:3551 is not listed on IDEAS
    18. Pierpalo D’Urso & Livia Giovanni & Vincenzina Vitale, 2023. "A Bayesian network to analyse basketball players’ performances: a multivariate copula-based approach," Annals of Operations Research, Springer, vol. 325(1), pages 419-440, June.
    19. Goodall, Amanda H. & Kahn, Lawrence M. & Oswald, Andrew J., 2011. "Why do leaders matter? A study of expert knowledge in a superstar setting," Journal of Economic Behavior & Organization, Elsevier, vol. 77(3), pages 265-284, March.
    20. Julia Müller & Thorsten Upmann & Joachim Prinz, 2013. "Individual Team Productivity - A Conceptual Approach," Tinbergen Institute Discussion Papers 13-183/I, Tinbergen Institute.
    21. L.F.M. Groot & J. Ferwerda, 2014. "Soccer jersey sponsors and the world cup," Working Papers 14-07, Utrecht School of Economics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:jospec:v:21:y:2020:i:6:p:571-592. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.