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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," IASE Conference Papers 0628, International Association of Sports Economists.
    • Handle: RePEc:spe:cpaper:0628
    as

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    File URL: http://web.holycross.edu/RePEc/spe/Santos_Basketball.pdf
    File Function: Paper presented at the 8th Annual IASE Conference in Bochum, Germany, May 2006
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    References listed on IDEAS

    as
    1. 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.
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    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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