Abstract
Sports teams have incentives to put more effort into games with an immediate effect on standings compared to games that do not, possibly affecting outcome uncertainty. We develop a measure of game outcome uncertainty, game importance (GI), that captures how each game affects a team’s standing and can be calculated for individual games. Results show that observed variation in GI explains observed variation in attendance, game outcomes, and margin of victory at MLB games over the 1994 through 2010 seasons, suggesting that GI is an influential indicator in fans’ attendance decisions, consistent with the uncertainty of outcome hypothesis.
References
Agresti, A. 2002. Categorical Data Analysis (2nd ed.). Hoboken, New Jersey: John Wiley & Sons, Inc. 10.1002/0471249688Search in Google Scholar
Baimbridge, M. 1997. “Match Attendance at Euro 96: Was the Crowd Waving or Drowning?” Applied Economics Letters 4:555–8.10.1080/135048597355014Search in Google Scholar
Baimbridge, M. and S. Cameron. 1996. “Satellite Television and the Demand for Football: A Whole New Ball Game?” Scottish Journal of Political Economy 43(3):317.10.1111/j.1467-9485.1996.tb00848.xSearch in Google Scholar
Ballinger, G. 2004. “Using Generalized Estimating Equations for Logitudinal Data Analysis.” Organizational Research Methods 7(2):127–150.10.1177/1094428104263672Search in Google Scholar
Bradley, R. and M. Terry. 1952. “The Rank Analysis of Incomplete Block Diagrams I. The Method of Paired Comparisons.” Biometrica 39:324–345.Search in Google Scholar
Cairns, J. A. 1987. “Evaluating Changes in League Structure: The Reorganization of the Scottish Football League.” Applied Economics 19(2):259.10.1080/00036848700000101Search in Google Scholar
Clarke, S. 2005. “Home Advantage in the Australian Football League.” Journal of Sports Sciences 23(4):375–385.10.1080/02640410500074391Search in Google Scholar PubMed
Clarke, R. and J. Norman. 1995. “Home Ground Advantage of Individual Clubs in English Soccer.” The Statistician 44(4): 509–521.10.2307/2348899Search in Google Scholar
David, H. A. and M. Smith. 1994. “The Home-Court Advantage: How Large is it, and Does it Vary From Team to Team?” The American Statistician 48(1):22–28.Search in Google Scholar
Dawson, A. and P. Downward.2005. “Measuring Short-Run Uncertainty of Outcome in Sporting Leagues A Comment.” Journal of Sports Economics 6(3):303–313.10.1177/1527002504266631Search in Google Scholar
Dobson, S. M. and J. A. Goddard. 1992. “The Demand for Standing and Seated Viewing Accommodation in the English Football League.” Applied Economics 24:1155–1163.10.1080/00036849200000009Search in Google Scholar
Forrest, D. and R. Simmons. 2002. “Outcome Uncertainty and Attendance Demand in Sport: The Case of English Soccer.” Journal of the Royal Statistical Society: Series D (the Statistician) 51(2):229–241.10.1111/1467-9884.00314Search in Google Scholar
Forrest, D., J. Beaumont, J. Goddard, and R. Simmons. 2005. “Home Advantage and the Debate About Competitive Balance in Professional Sports Leagues.” Journal of Sports Sciences 23(4):439–445.10.1080/02640410400021641Search in Google Scholar PubMed
Hart, R. A., J. Hutton, and T. Sharot. 1975. “A Statistical Analysis of Association Football Attendances.” Journal of the Royal Statistical Society: Series C (Applied Statistics) 24(1):17.10.2307/2346700Search in Google Scholar
Jennett, N. 1984. “Attendances, Uncertainty of Outcome and Policy in Scottish League Football.” Scottish Journal of Political Economy 31(2):176–198.10.1111/j.1467-9485.1984.tb00472.xSearch in Google Scholar
Knobloch-Westerwick, S., P. David, M. S. Eastin, R. Tamborini, and D. Greenwood. 2009. “Sports Spectators’ Suspense: Affect and Uncertainty in Sports Entertainment.” Journal of Communication 59(4):750–767.10.1111/j.1460-2466.2009.01456.xSearch in Google Scholar
Koning, R. 2000. “Balance in Competition in Dutch Soccer.” The Statistician 49(3):419–431.10.1111/1467-9884.00244Search in Google Scholar
Lee, Y. and R. Fort. 2008. “Attendance and the Uncertainty-of-Outcome Hypothesis in Baseball.” Review of Industrial Organization 33(4):281–295.10.1007/s11151-008-9193-9Search in Google Scholar
Lemke, R. J., M. Leonard, and K. Tlhokwane. 2010. “Estimating Attendance at Major League Baseball Games for the 2007 Season.” Journal of Sports Economics 11(3): 316–348.10.1177/1527002509337212Search in Google Scholar
Meehan, J. J., R. Nelson, and T. Richardson. 2007. “Competitive Balance and Game Attendance in Major League Baseball.” Journal of Sports Economics 8(6):563–580.10.1177/1527002506296545Search in Google Scholar
Neale, W. 1964. “The Peculiar Economics of Professional Sports.” Quarterly Journal of Economics 78:1–14.10.2307/1880543Search in Google Scholar
Nevill, A. and R. Holder. 1999. “Home Advantage in Sport: An Overview of Studies on the Advantage of Playing at Home.” Sports Med. 26(4):221–236.10.2165/00007256-199928040-00001Search in Google Scholar PubMed
Peel, D. and D. Thomas. 1988. “Outcome Uncertainty and the Demand for Football – An Analysis of Match Attendances in the English Football League.” Scottish Journal of Political Economy 35(3):243–9.10.1111/j.1467-9485.1988.tb01049.xSearch in Google Scholar
Peel, D. A. and D. A. Thomas. 1992. “The Demand for Football: Some Evidence on Outcome Uncertainty.” Empirical Economics 17(2):323–331.10.1007/BF01206291Search in Google Scholar
Peel, D. and D. Thomas. 1996. “Attendance Demand: An Investigation of Repeat Fixtures.” Applied Economics Letters 3(6):391.10.1080/135048596356294Search in Google Scholar
Peel, D. and D. Thomas. 1997. “Handicaps, Outcome Uncertainty and Attendance Demand.” Applied Economics Letters 4(9): 567.10.1080/135048597355041Search in Google Scholar
Rottenberg, S. 1956. “The Baseball Players’ Labor Market.” Journal of Political Economy 64:242–258.10.1086/257790Search in Google Scholar
Sage, G. 1977. Introduction to Motor Behaviour: A Neuropsychological Approach (2nd ed.). Addison-Wesley.Search in Google Scholar
Simmons, R. 2006. “The Demand for Spectator Sports.” Pp. 77–89 in Handbook on the economics of sport, edited by W. Andreff and S. Szymanski. Montpellier Parade Cheltenham Glos GL50 1UA UK: Edward Elgar Publishing Limited Glensanda House.Search in Google Scholar
Soebbing, B. 2008. “Competitive Balance and Attendance in Major League Baseball: An Empirical Test of the Uncertainty of Outcome Hypothesis.” International Journal of Sport Finance, May.Search in Google Scholar
Stokes, M., C. Davis, and G. Koch. 2006. Categorical Data Analysis using the SAS System (5th ed.).Search in Google Scholar
Szymanski, S. 2003. “The Economic Design of Sporting Contests.” Journal of Economic Literature 41(4):1137–1187.10.1257/jel.41.4.1137Search in Google Scholar
Tainsky, S. and J. Winfree. 2010. “Short-Run Demand and Uncertainty of Outcome in Major League Baseball.” Review of Industrial Organization 37(3):197–214.10.1007/s11151-010-9267-3Search in Google Scholar
Triplett, N. 1898. “The Dynamogenic Factors in Pacemaking and Competition.” American Journal of Psychology 9:507–533.10.2307/1412188Search in Google Scholar
Wilson, P. and B. Sim. 1995. “The Demands of Semi-Pro League Football in Malaysia 1989–91: A Panel Data Approach.” Applied Economics 27(1):131.10.1080/00036849500000015Search in Google Scholar
Wu, C., M. Gumpertz, and D. Boos. 2001. “Comparison of GEE, Minque, ML, and REML Estimating Equations for Normally Distributed Data.” The American Statistician 55(2): 125–130.10.1198/000313001750358608Search in Google Scholar
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