Who is 'most valuable'? Measuring the player's production of wins in the National Basketball Association
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.
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Volume (Year): 20 (1999)
Issue (Month): 8 ()
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- 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.
- Russell Davidson & James G. MacKinnon, 1981. "Tests for Model Specification in the Presence of Alternative Hypotheses: Some Further Results," Working Papers 430, Queen's University, Department of Economics.
- Hofler, Richard A. & Payne, James E., 1997. "Measuring efficiency in the National Basketball Association1," Economics Letters, Elsevier, vol. 55(2), pages 293-299, August.
- Scully, Gerald W, 1974. "Pay and Performance in Major League Baseball," American Economic Review, American Economic Association, vol. 64(6), pages 915-30, December.
- 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 261-68, May.
- Bera, Anil K. & Jarque, Carlos M., 1982. "Model specification tests : A simultaneous approach," Journal of Econometrics, Elsevier, vol. 20(1), pages 59-82, October.
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