“We Got Game!”: An Analysis of Win/Loss Probability and Efficiency Differences Between the NBA and WNBA

Journal of Sports Economics

Volumn 6, Issue 1, 2005, Pages 5-23

  Mcgoldrick, Kimmarie ^a   Voeks, Lisa ^a  

^a UNIVERSITY OF RICHMOND   (United States)

Author keywords

efficiency; nba; stochastic frontier; wnba

Indexed keywords

EID: 84990317329     PISSN: 15270025     EISSN: None     Source Type: Journal    
DOI: 10.1177/1527002503262649     Document Type: Article

References (19)

1. Aigner, D., Lovell, C. A. K., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21-37.
2. Berri, D. J. (1999). Who is “most valuable”? Measuring the player's production of wins in the National Basketball Association. Managerial & Decision Economics, 20(8), 411-427.
3. Carmichael, F., & Thomas, D. (1995). Production and efficiency in team sports: An investigation of rugby league football. Applied Economics, 27(9), 859-869.
4. Carmichael, F., Thomas, D., & Ward, R. (2001). Production and efficiency in association football. Journal of Sports Economics, 2(3), 228-243.
5. Caudill, S. B., Ford, J. M., & Gropper, D. M. (1995). Frontier estimation and firm-specific inefficiency measures in the presence of heteroscedasticity. Journal of Business & Economic Statistics, 13(1), 105-111.
6. Chatterjee, S., Campbell, M. R., & Wiseman, F. (1994). Take that jam! An analysis of winning percentage for NBA teams. Managerial & Decision Economics, 15(5), 521-535.
7. Cowing, T., Reifschneider, D., & Stevenson, R. (1983). A comparison of alternative frontier cost function specifications. In A. Dogramaci (Ed.), Development in econometric analysis of productivity (pp. [pp. 63-91). Boston: Kluwer-Nijhoff.
8. Hadley, L., Poitras, M., Ruggiero, J., & Knowles, S. (2000). Performance evaluation of National Football League teams. Managerial & Decision Economics, 21(2), 63-70.
9. Hofler, R. A., & Payne, J. E. (1996). How close to their offensive potential do National Football League teams play? Applied Economics Letters, 3(11), 743-747.
10. Hofler, R. A., & Payne, J. E. (1997). Measuring efficiency in the National Basketball Association. Economics Letters, 55(2), 293-299.
11. Hofler, R. A., & Payne, J. E. (2001). Efficiency in the National Basketball Association: A stochastic frontier approach with panel data. Working paper.
12. Jondrow, J., Lovell, K., Materov, I., & Schmidt, P. (1982). On the estimation of technical efficiency in the stochastic frontier production model. Journal of Econometrics, 19(2-3), 233-238.
13. Last, J. V. (2002, May 10). Why white (and other) women can't jump. The Weekly Standard. Retrieved from http://www.weeklystandard.com/content/Public/Articles/000/000/001/200ofapa.asp
14. Mazur, M. J. (1994). Evaluating the relative efficiency of baseball players. In A. Charnes et al. (Eds.), Data envelopment analysis: Theory, methodology, and application (pp. 369-391). Dordrecht, the Netherlands: Kluwer Academic.
15. Meeusen, W., & van den Broeck, J. (1977). Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review, 18(2), 435-444.
16. Ondrich, J., & Ruggiero, J. (2001). Efficiency measurement in the stochastic frontier model. European Journal of Operational Research, 129, 434-442.
17. Ruggiero, J., Hadley, L., & Gustafson, E. (1996). Technical efficiency in Major League Baseball. In J. Fizel, E. Gustafson, & L. Hadley (Eds.), Baseball economics: Current research (pp. 191-200). Westport, CT: Greenwood, Praeger.
18. Ruggiero, J., Hadley, L., Ruggiero, G., & Knowles, S. (1997). A note on the Pythagorean theorem of baseball production. Managerial and Decision Economics, 18(4), 335-342.
19. Zak, T. A., Huang, C. J., & Siegfried, J. J. (1979). Production efficiency: The case of professional basketball. Journal of Business, 5(3), 379-392.