Abstract
This article explores the importance of uncertainty in athletic contests. We use a probit model and Monte Carlo simulations to forecast game outcomes in Major League Baseball. Simulations are necessary to understand fully the preferences that consumers have towards uncertainty in sports. We use these simulations to estimate demand using attendance data for regular season games. Our findings show that when game, playoff, and consecutive season uncertainty measures are all included in estimating attendance for individual games, only the metrics that are related to the home team’s standing are significant. These metrics include the change in performance from the previous season and the importance of the game in qualifying for the playoffs.
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References
Borland J., MacDonald R. (2003) Demand for sport. Oxford Review of Economic Policy 19(4): 478–502
Cairns J. A. (1987) Evaluating changes in league structure: The reorganization of the scottish football league. Applied Economics 19: 259–275
Cairns J. A., Jennet N., Sloane P. J. (1986) The economics of professional team sports: A survey of theory and evidence. Journal of Economic Studies 13(1): 3–80
Coates D., Humphreys B. R. (2005) Baseball strikes and the demand for attendance. Journal of Sports Economics 6(3): 282–302
Domazlicky B. R., Kerr P. M. (1990) Baseball attendance and the designated hitter. American Economist 34(Spring): 62–68
Downard P., Dawson A. (2000) The economics of professional team sports. Routledge, London
Fort R. D. (2006) Competitive balance in North American professional sports. In: Fizel J. (ed.) Handbook of sports economics research. M.E. Sharpe, Armonk, NY, pp 190–208
Fort R. D., Lee Y. H. (2006) Stationarity and major league baseball attendance analysis. Journal of Sports Economics 7(4): 408–415
Fort R. D., Lee Y. H. (2008) Attendance and the uncertainty-of-outcome hypothesis in baseball. Review of Industrial Organization 33(No. 4 December): 281–295
Koning, R. H. (1999). Competitive balance in Dutch Soccer, SOM Research Report 99B04. Faculty of Economics, University of Groningen.
Lee Y. H. (2009) The impact of postseason restructuring on the competitive balance and fan demand in major league baseball. Journal of Sports Economics 10(3): 219–235
Rottenberg S. (1956) The baseball player’s labor market. Journal of Political Economy 64: 242–258
Szymanski S. (2003) The economic design of sporting contests. Journal of Economic Literature 41(4): 1137–1187
Tainsky S., Winfree J. (2008) Financial incentives and league policy: the example of major league baseball’s steroid policy. European Sport Management Quarterly 8(1): 67–81
Whitney J. D. (1988) Winning games versus winning championships: The economics of fan interest and team performance. Economic Inquiry 26: 703–724
Woodland B. M., Woodland L. M. (1999) Expected utility, skewness, and the baseball betting market. Applied Economics 31(3): 337–345
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The authors wish to thank without implicating Charles Brown, John Dinardo, and Rodney Fort for their helpful suggestions.
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Tainsky, S., Winfree, J.A. Short-Run Demand and Uncertainty of Outcome in Major League Baseball. Rev Ind Organ 37, 197–214 (2010). https://doi.org/10.1007/s11151-010-9267-3
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DOI: https://doi.org/10.1007/s11151-010-9267-3