Attendance and the Uncertainty-of-Outcome Hypothesis in Baseball

Attendance and the Uncertainty-of-Outcome Hypothesis in Baseball Sports offer interesting insights into demand due to the added twist of fan preferences for outcome uncertainty. We add to and amend previous work by analyzing the time series behavior of Major League Baseball attendance (1901–2003) using break point analysis, exploring a wide variety of measures of game uncertainty, playoff uncertainty, and consecutive season uncertainty. Only playoff uncertainty is statistically significant, and it is economically significant only for (1) truly ambitious intervention and (2) recent history. The policy implication is that actual league choices may be motivated by wealth redistribution rather than concerns over competitive balance. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Industrial Organization Springer Journals

Attendance and the Uncertainty-of-Outcome Hypothesis in Baseball

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Publisher
Springer US
Copyright
Copyright © 2008 by Springer Science+Business Media, LLC.
Subject
Economics; Industrial Organization; Microeconomics
ISSN
0889-938X
eISSN
1573-7160
D.O.I.
10.1007/s11151-008-9193-9
Publisher site
See Article on Publisher Site

Abstract

Sports offer interesting insights into demand due to the added twist of fan preferences for outcome uncertainty. We add to and amend previous work by analyzing the time series behavior of Major League Baseball attendance (1901–2003) using break point analysis, exploring a wide variety of measures of game uncertainty, playoff uncertainty, and consecutive season uncertainty. Only playoff uncertainty is statistically significant, and it is economically significant only for (1) truly ambitious intervention and (2) recent history. The policy implication is that actual league choices may be motivated by wealth redistribution rather than concerns over competitive balance.

Journal

Review of Industrial OrganizationSpringer Journals

Published: Nov 1, 2008

References

  • Computation and analysis of multiple structural change models
    Bai, J.; Perron, P.

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