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The production process in basketball: Empirical evidence from Spanish league

Author

Listed:
  • José M. Sánchez Santos

    (Department of Applied Economics, University of A Coruña)

  • Pablo Castellanos García
  • Jesus A. Dopico Castro

Abstract

The main objective of this paper is to provide an empirical assessment of the production process in a basketball team. We estimate a logit model in which the output produced by a team is the game outcome (win or loss) and the inputs are those play characteristics that impact on that outcome. From the results obtained it is clear that, on average, there is a substantial difference between the impact of each play characteristic on a basketball team’s winning probability and that probability varies as the quality/quantity of the inputs used changes, albeit not proportionally.

Suggested Citation

  • 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.
    • Handle: RePEc:spe:wpaper:0611
    as

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    File URL: http://web.holycross.edu/RePEc/spe/Santos_Basketball.pdf
    File Function: Paper presented at the Joint Annual Meeting 2006 of the International and German-Speaking Associations of Sports Economists (IASE and AK), May 4-6, 2006
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    References listed on IDEAS

    as
    1. Scott E. Atkinson & Linda R. Stanley & John Tschirhart, 1988. "Revenue Sharing as an Incentive in an Agency Problem: An example from the National Football League," RAND Journal of Economics, The RAND Corporation, vol. 19(1), pages 27-43, Spring.
    2. Scully, Gerald W, 1974. "Pay and Performance in Major League Baseball," American Economic Review, American Economic Association, vol. 64(6), pages 915-930, December.
    3. Simon Rottenberg, 1956. "The Baseball Players' Labor Market," Journal of Political Economy, University of Chicago Press, vol. 64(3), pages 242-242.
    4. Stefan Szymanski, 2010. "The Economic Design of Sporting Contests," Palgrave Macmillan Books, in: The Comparative Economics of Sport, chapter 1, pages 1-78, Palgrave Macmillan.
    5. 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.
    6. Zak, Thomas A & Huang, Cliff J & Siegfried, John J, 1979. "Production Efficiency: The Case of Professional Basketball," The Journal of Business, University of Chicago Press, vol. 52(3), pages 379-392, July.
    7. Rodney Fort & James Quirk, 1995. "Cross-subsidization, Incentives, and Outcomes in Professional Team Sports Leagues," Journal of Economic Literature, American Economic Association, vol. 33(3), pages 1265-1299, September.
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    9. KimMarie McGoldrick & Lisa Voeks, 2005. "“We Got Game!â€," Journal of Sports Economics, , vol. 6(1), pages 5-23, February.
    10. Berri, David J. & Schmidt, Martin B., 2002. "Instrumental versus bounded rationality: a comparison of Major League Baseball and the National Basketball Association," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 31(3), pages 191-214.
    11. Hofler, Richard A. & Payne, James E., 1997. "Measuring efficiency in the National Basketball Association1," Economics Letters, Elsevier, vol. 55(2), pages 293-299, August.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    sports economics; team sport; professional basketball; productive process; logit model;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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