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Who is 'most valuable'? Measuring the player's production of wins in the National Basketball Association

Author

Listed:
  • David J. Berri

    (Department of Business Administration and Economics, Coe College, Cedar Rapids, IA, USA)

Abstract

How does one measure the productivity of an individual participating in a team sport? The purpose of this inquiry is to answer this question via an econometric model that links the player's statistics in the National Basketball Association (NBA) to team wins. This model will then be employed in the measurement of each player's marginal product. Such a measurement is useful in answering the question offered in the title, or a broader list of questions posed by both industry insiders and other interested observers. Copyright © 1999 John Wiley & Sons, Ltd.

Suggested Citation

  • 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.
  • Handle: RePEc:wly:mgtdec:v:20:y:1999:i:8:p:411-427
    DOI: 10.1002/1099-1468(199912)20:8<411::AID-MDE957>3.0.CO;2-G
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    References listed on IDEAS

    as
    1. Scully, Gerald W, 1974. "Pay and Performance in Major League Baseball," American Economic Review, American Economic Association, vol. 64(6), pages 915-930, December.
    2. Bera, Anil K. & Jarque, Carlos M., 1982. "Model specification tests : A simultaneous approach," Journal of Econometrics, Elsevier, vol. 20(1), pages 59-82, October.
    3. Blass, Asher A, 1992. "Does the Baseball Labor Market Contradict the Human Capital Model of Investment?," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 261-268, May.
    4. MacKinnon, James G. & White, Halbert & Davidson, Russell, 1983. "Tests for model specification in the presence of alternative hypotheses : Some further results," Journal of Econometrics, Elsevier, vol. 21(1), pages 53-70, January.
    5. Hofler, Richard A. & Payne, James E., 1997. "Measuring efficiency in the National Basketball Association1," Economics Letters, Elsevier, vol. 55(2), pages 293-299, August.
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    Citations

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    Cited by:

    1. Tunaru, Radu & Clark, Ephraim & Viney, Howard, 2005. "An option pricing framework for valuation of football players," Review of Financial Economics, Elsevier, vol. 14(3-4), pages 281-295.
    2. Štrumbelj, Erik & Vračar, Petar, 2012. "Simulating a basketball match with a homogeneous Markov model and forecasting the outcome," International Journal of Forecasting, Elsevier, vol. 28(2), pages 532-542.
    3. Robert A. Baade & Victor A. Matheson, 2008. "Research Note: Assessing Household Service Losses with Joint Survival Probabilities," Journal of Forensic Economics, National Association of Forensic Economics, vol. 20(2), pages 187-192, October.
    4. repec:qut:dpaper:282 is not listed on IDEAS
    5. 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, Research Program on Forecasting.
    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. José M. Sánchez Santos & Pablo Castellanos García & Jesus A. Dopico Castro, 2006. "The production process in basketball: Empirical evidence from Spanish league," IASE Conference Papers 0628, International Association of Sports Economists.
    8. 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.
    9. Egon Franck & Stephan Nüesch, 2008. "The Effect of Talent Disparity on Team Performance in Soccer," Working Papers 0087, University of Zurich, Institute for Strategy and Business Economics (ISU), revised 2009.
    10. 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, Research Program on Forecasting, revised Jan 2007.
    11. 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.
    12. R Simmons & D J Berri, 2010. "Mixing the princes and the paupers: Pay and performance in the National Basketball Association," Working Papers 611523, Lancaster University Management School, Economics Department.
    13. repec:bla:ecinqu:v:55:y:2017:i:3:p:1556-1578 is not listed on IDEAS
    14. repec:lan:wpaper:3659 is not listed on IDEAS
    15. Siddhartha K Rastogi & Deodhar, Satish Y., 2009. "Player Pricing and Valuation of Cricketing Attributes: Exploring the IPL Twenty-Twenty Vision," IIMA Working Papers WP2009-01-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    16. 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.
    17. Olugbenga Ajilore, 2014. "Do white NBA players suffer from reverse discrimination?," Economics Bulletin, AccessEcon, vol. 34(1), pages 558-566.
    18. 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.
    19. repec:lan:wpaper:3944 is not listed on IDEAS
    20. Jose A. Martinez, 2012. "Factors determining production (FDP) in basketball," Economics and Business Letters, Oviedo University Press, vol. 1(1), pages 21-29.

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