IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2309.05783.html
   My bibliography  Save this paper

A New Framework to Estimate Return on Investment for Player Salaries in the National Basketball Association

Author

Listed:
  • Jackson P. Lautier

Abstract

The National Basketball Association (NBA) imposes a player salary cap. It is therefore useful to develop tools to measure the relative realized return of a player's salary given their on court performance. Very few such studies exist, however. We thus present the first known framework to estimate a return on investment (ROI) for NBA player contracts. The framework operates in five parts: (1) decide on a measurement time horizon, such as the standard 82-game NBA regular season; (2) calculate the novel game contribution percentage (GCP) measure we propose, which is a single game summary statistic that sums to unity for each competing team and is comprised of traditional, playtype, hustle, box outs, defensive, tracking, and rebounding per game NBA statistics; (3) estimate the single game value (SGV) of each regular season NBA game using a standard currency conversion calculation; (4) multiply the SGV by the vector of realized GCPs to obtain a series of realized per-player single season cash flows; and (5) use the player salary as an initial investment to perform the traditional ROI calculation. We illustrate our framework by compiling a novel, sharable dataset of per game GCP statistics and salaries for the 2022-2023 NBA regular season. A scatter plot of ROI by salary for all players is presented, including the top and bottom 50 performers. Notably, missed games are treated as defaults because GCP is a per game metric. This allows for break-even calculations between high-performing players with frequent missed games and average performers with few missed games, which we demonstrate with a comparison of the 2023 NBA regular seasons of Anthony Davis and Brook Lopez. We conclude by suggesting uses of our framework, discussing its flexibility through customization, and outlining potential future improvements.

Suggested Citation

  • Jackson P. Lautier, 2023. "A New Framework to Estimate Return on Investment for Player Salaries in the National Basketball Association," Papers 2309.05783, arXiv.org.
  • Handle: RePEc:arx:papers:2309.05783
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2309.05783
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. William C. Horrace & Hyunseok Jung & Shane Sanders, 2022. "Network Competition and Team Chemistry in the NBA," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 35-49, January.
    2. 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.
    3. Radu Tunaru & Ephraim Clark & Howard Viney, 2005. "An option pricing framework for valuation of football players," Review of Financial Economics, John Wiley & Sons, vol. 14(3-4), pages 281-295.
    4. Page Garritt L & Fellingham Gilbert W & Reese C. Shane, 2007. "Using Box-Scores to Determine a Position's Contribution to Winning Basketball Games," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 3(4), pages 1-18, October.
    5. Daly-Grafstein Daniel & Bornn Luke, 2019. "Rao-Blackwellizing field goal percentage," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(2), pages 85-95, June.
    6. Jim Lackritz & Ira Horowitz, 2021. "The Value of Statistics Contributing to Scoring in the NBA: A Quantitative Approach," The American Economist, Sage Publications, vol. 66(2), pages 175-189, October.
    7. Teramoto Masaru & Cross Chad L., 2010. "Relative Importance of Performance Factors in Winning NBA Games in Regular Season versus Playoffs," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(3), pages 1-19, July.
    8. Joseph Kuehn, 2017. "Accounting For Complementary Skill Sets: Evaluating Individual Marginal Value To A Team In The National Basketball Association," Economic Inquiry, Western Economic Association International, vol. 55(3), pages 1556-1578, July.
    9. Page Garritt L. & Barney Bradley J. & McGuire Aaron T., 2013. "Effect of position, usage rate, and per game minutes played on NBA player production curves," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(4), pages 337-345, December.
    10. Idson, Todd L & Kahane, Leo H, 2000. "Team Effects on Compensation: An Application to Salary Determination in the National Hockey League," Economic Inquiry, Western Economic Association International, vol. 38(2), pages 345-357, April.
    11. Jose A. Martinez, 2012. "Factors determining production (FDP) in basketball," Economics and Business Letters, Oviedo University Press, vol. 1(1), pages 21-29.
    12. David J. Berri & John Charles Bradbury, 2010. "Working in the Land of the Metricians," Journal of Sports Economics, , vol. 11(1), pages 29-47, February.
    13. Shortridge Ashton & Goldsberry Kirk & Adams Matthew, 2014. "Creating space to shoot: quantifying spatial relative field goal efficiency in basketball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(3), pages 1-11, September.
    14. David J. Berri & Anthony C. Krautmann, 2006. "Shirking on the Court: Testing for the Incentive Effects of Guaranteed Pay," Economic Inquiry, Western Economic Association International, vol. 44(3), pages 536-546, July.
    15. 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.
    16. David J. Berri & Stacey L. Brook & Bernd Frick & Aju J. Fenn & Roberto Vicente-Mayoral, 2005. "The Short Supply of Tall People: Competitive Imbalance and the National Basketball Association," Journal of Economic Issues, Taylor & Francis Journals, vol. 39(4), pages 1029-1041, December.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. 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.
    3. Julia Müller & Thorsten Upmann & Joachim Prinz, 2013. "Individual Team Productivity - A Conceptual Approach," Tinbergen Institute Discussion Papers 13-183/I, Tinbergen Institute.
    4. Julia Müller & Thorsten Upmann, 2017. "Eigenvalue Productivity: Measurement of Individual Contributions in Teams," CESifo Working Paper Series 6679, CESifo.
    5. Helmut Dietl & Markus Lang & Johannes Orlowski & Philipp Wegelin, 2023. "The Effect of the Initial Distribution of Labor-Related Property Rights on the Allocative Efficiency of Labor Markets," Working Papers 398, University of Zurich, Department of Business Administration (IBW).
    6. 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.
    7. Daniel Weimar & Katrin Scharfenkamp, 2019. "Effort reduction of employer‐to‐employer changers: Empirical evidence from football," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(3), pages 277-291, April.
    8. Carlo Bellavite Pellegrini & Raul Caruso & Marco Di Domizio, 2021. "Relative wages, payroll structure and performance in soccer. Evidence from Italian Serie A (2007-2019)," DISCE - Quaderni del Dipartimento di Politica Economica dipe0015, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    9. David J. Berri & Brad R. Humphreys & Robert Simmons, 2013. "Valuing the blind side: pay and performance of offensive linemen in the National Football League," Chapters, in: Plácido Rodríguez & Stefan Késenne & Jaume García (ed.), The Econometrics of Sport, chapter 6, pages 99-114, Edward Elgar Publishing.
    10. repec:lan:wpaper:3551 is not listed on IDEAS
    11. Furmaco, L. & Longley, N. & Palermo, A. & Rossi, G., 2021. "Employees’ Performance Variation over Fixed-Term Contracts - Evidence from the National Hockey League," Working Papers 2107, Tulane University, Department of Economics.
    12. Víctor Blanco & Román Salmerón & Samuel Gómez-Haro, 2018. "A Multicriteria Selection System Based on Player Performance: Case Study—The Spanish ACB Basketball League," Group Decision and Negotiation, Springer, vol. 27(6), pages 1029-1046, December.
    13. Philippe Cyrenne, 2018. "Salary Inequality, Team Success, League Policies, And The Superstar Effect," Contemporary Economic Policy, Western Economic Association International, vol. 36(1), pages 200-214, January.
    14. Marco Di Domizio & Carlo Bellavite Pellegrini & Raul Caruso, 2022. "Payroll dispersion and performance in soccer: A seasonal perspective analysis for Italian Serie A (2007–2021)," Contemporary Economic Policy, Western Economic Association International, vol. 40(3), pages 513-525, July.
    15. Joseph Kuehn & Filippo Rebessi, 2023. "The Importance of Team Fit for NBA Rookies’ Career Earnings," Journal of Sports Economics, , vol. 24(3), pages 285-309, April.
    16. Joseph Kuehn, 2017. "Accounting For Complementary Skill Sets: Evaluating Individual Marginal Value To A Team In The National Basketball Association," Economic Inquiry, Western Economic Association International, vol. 55(3), pages 1556-1578, July.
    17. Egon Franck & Stephan Nüesch, 2012. "Talent And/Or Popularity: What Does It Take To Be A Superstar?," Economic Inquiry, Western Economic Association International, vol. 50(1), pages 202-216, January.
    18. Manner Hans, 2016. "Modeling and forecasting the outcomes of NBA basketball games," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(1), pages 31-41, March.
    19. Todd D. Kendall, 2003. "Spillovers, Complementarities, and Sorting in Labor Markets with an Application to Professional Sports," Southern Economic Journal, John Wiley & Sons, vol. 70(2), pages 389-402, October.
    20. repec:lan:wpaper:3659 is not listed on IDEAS
    21. repec:lan:wpaper:3944 is not listed on IDEAS
    22. Marco Sandri & Paola Zuccolotto & Marica Manisera, 2020. "Markov switching modelling of shooting performance variability and teammate interactions in basketball," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1337-1356, November.
    23. Bastian Kordyaka & Mario Lackner & Hendrik Sonnabend, 2022. "Can too many cooks spoil the broth? Coordination costs, fatigue, and performance in high‐intensity tasks," Southern Economic Journal, John Wiley & Sons, vol. 88(3), pages 1065-1085, January.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:arx:papers:2309.05783. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.