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Estimating Production Efficiency in Men’s NCAA College Basketball: A Bayesian Approach

Author

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  • Michael S. Rimler

    (Xavier University)

  • Seongho Song

    (University of Cincinnati)

  • David T. Yi

    (Xavier University)

Abstract

Using Bayesian analysis with Markov Chain Monte Carlo (MCMC) estimation, we generate estimates of technical efficiency for each game played by an Atlantic 10 Conference men’s basketball team during the 2005-2006 season. The flexibility of MCMC, and its ability to provide an objective measure for assessing model fit, makes it preferable to maximum likelihood (ML) estimation of stochastic production frontiers. Within the context of men’s basketball, this article addresses the question of whether technical efficiency necessarily leads to success relative to one’s competitors. Results indicate that (a) technical efficiency does not vary significantly, either across or within teams, implying that teams in the A-10 play at very close and high levels of efficiency and (b) technical efficiency does not correlate strongly with productivity, suggesting that the fundamental quality of one’s resources are more important than an efficient use of those resources. In addition, parameter estimates suggest that a single turnover or offensive rebound could mean the difference between winning and losing.

Suggested Citation

  • Michael S. Rimler & Seongho Song & David T. Yi, 2010. "Estimating Production Efficiency in Men’s NCAA College Basketball: A Bayesian Approach," Journal of Sports Economics, , vol. 11(3), pages 287-315, June.
  • Handle: RePEc:sae:jospec:v:11:y:2010:i:3:p:287-315
    DOI: 10.1177/1527002509337803
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    References listed on IDEAS

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    1. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    2. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    3. Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
    4. Richard A. Hofler & James E. Payne, 2006. "Efficiency in the National Basketball Association: a stochastic frontier approach with panel data," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 279-285.
    5. Anthony Rezitis & Kostas Tsiboukas & Stauros Tsoukalas, 2002. "Measuring technical efficiency in the Greek agricultural sector," Applied Economics, Taylor & Francis Journals, vol. 34(11), pages 1345-1357.
    6. Kelvin Balcombe & Iain Fraser & Jae Kim, 2006. "Estimating technical efficiency of Australian dairy farms using alternative frontier methodologies," Applied Economics, Taylor & Francis Journals, vol. 38(19), pages 2221-2236.
    7. Richard Hofler & James Payne, 1996. "How close to their offensive potential do national football league teams play?," Applied Economics Letters, Taylor & Francis Journals, vol. 3(11), pages 743-747.
    8. Sangho Kim & Gwangho Han, 2001. "A Decomposition of Total Factor Productivity Growth in Korean Manufacturing Industries: A Stochastic Frontier Approach," Journal of Productivity Analysis, Springer, vol. 16(3), pages 269-281, November.
    9. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    10. Carlos Pestana Barros & Stephanie Leach, 2006. "Analyzing the Performance of the English F.A. Premier League With an Econometric Frontier Model," Journal of Sports Economics, , vol. 7(4), pages 391-407, November.
    11. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    12. Peter Dawson & Stephen Dobson & Bill Gerrard, 2000. "Stochastic Frontiers and the Temporal Structure of Managerial Efficiency in English Soccer," Journal of Sports Economics, , vol. 1(4), pages 341-362, November.
    13. Carlos Pestana Barros & Stephanie Leach, 2006. "Performance evaluation of the English Premier Football League with data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1449-1458.
    14. 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.
    15. Lee, Lung-Fei & Tyler, William G., 1978. "The stochastic frontier production function and average efficiency : An empirical analysis," Journal of Econometrics, Elsevier, vol. 7(3), pages 385-389, April.
    16. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 126(2), pages 355-384, June.
    17. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    18. Peter Dawson & Stephen Dobson & Bill Gerrard, 2000. "Estimating Coaching Efficiency in Professional Team Sports: Evidence from English Association Football," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(4), pages 399-421, September.
    19. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
    20. Ho-chuan Huang, 2004. "Estimation of Technical Inefficiencies with Heterogeneous Technologies," Journal of Productivity Analysis, Springer, vol. 21(3), pages 277-296, May.
    21. Paul Bishop & Steven Brand, 2003. "The efficiency of museums: a stochastic frontier production function approach," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1853-1858.
    22. Christopher R. Knittel, 2002. "Alternative Regulatory Methods And Firm Efficiency: Stochastic Frontier Evidence From The U.S. Electricity Industry," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 530-540, August.
    23. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    24. 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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    Cited by:

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    3. Ira Horowitz, 2017. "An Efficiency Evaluation of Men’s College Basketball Coaches," The American Economist, Sage Publications, vol. 62(1), pages 77-98, March.
    4. J. Brandon Bolen & Jon Rezek & Joshua D. Pitts, 2019. "Performance Efficiency in NCAA Basketball," Journal of Sports Economics, , vol. 20(2), pages 218-241, February.
    5. Justin A. Ehrlich & Shankar Ghimire & Thomas R. Sadler & Shane D. Sanders, 2023. "Policy and Policy Response on the Court: A Theoretical and Empirical Examination of the Three-Point Line Extension in Basketball," Journal of Sports Economics, , vol. 24(2), pages 159-173, February.

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