Offensive Performance, Omitted Variables, and the Value of Speed in Baseball
AbstractThis note considers the problem of estimating the marginal products of offensive events towards a baseball team's objective of scoring runs. Regression techniques on official statistics give a positive marginal product for a stolen base attempt, which is inconsistent with the theory of mixed strategy Nash equilibrium. Augmenting the specification of the production function to include other productive qualities of footspeed restores estimates consistent with equilibrium theory.
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Bibliographic InfoPaper provided by EconWPA in its series Econometrics with number 0312005.
Length: 11 pages
Date of creation: 19 Dec 2003
Date of revision:
Note: Type of Document - ; prepared on Linux; pages: 11
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Omitted variable bias; mixed strategies; equilibrium test; baseball;
Other versions of this item:
- Turocy, Theodore L., 2005. "Offensive performance, omitted variables, and the value of speed in baseball," Economics Letters, Elsevier, vol. 89(3), pages 283-286, December.
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
- L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- P.-A. Chiappori, 2002. "Testing Mixed-Strategy Equilibria When Players Are Heterogeneous: The Case of Penalty Kicks in Soccer," American Economic Review, American Economic Association, vol. 92(4), pages 1138-1151, September.
- Mark Walker & John Wooders, 2001. "Minimax Play at Wimbledon," American Economic Review, American Economic Association, vol. 91(5), pages 1521-1538, December.
- Stekler, H.O. & Sendor, David & Verlander, Richard, 2010.
"Issues in sports forecasting,"
International Journal of Forecasting,
Elsevier, vol. 26(3), pages 606-621, July.
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