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Game Attendance and Competitive Balance in the National Hockey League

Author

Listed:
  • Dennis Coates

    (UMBC)

  • Brad R. Humphreys

    (University of Alberta)

Abstract

We examine the relationship between attendance, uncertainty of outcome, and team quality in the National Hockey League. Based on results from a reduced form model of attendance at 6054 regular season NHL games from 2005/06 to 2009/10, we find evidence that attendance increases when fans expect the home team to win by a large margin. Attendance increases for home team underdogs, but the extent of that boost declines as the underdog status worsens. An asymmetric relationship exists between expected game outcomes and attendance, suggesting the need for an expanded definition of the Uncertainty of Outcome Hypothesis.

Suggested Citation

  • Dennis Coates & Brad R. Humphreys, 2011. "Game Attendance and Competitive Balance in the National Hockey League," UMBC Economics Department Working Papers 11-130, UMBC Department of Economics.
  • Handle: RePEc:umb:econwp:11130
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    File URL: http://www.umbc.edu/economics/wpapers/wp_11_130.pdf
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    References listed on IDEAS

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    1. Jeffery Borland, 2003. "Demand for Sport," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(4), pages 478-502, Winter.
    2. Paul, Rodney J. & Weinbach, Andrew P., 2007. "The uncertainty of outcome and scoring effects on Nielsen ratings for Monday Night Football," Journal of Economics and Business, Elsevier, vol. 59(3), pages 199-211.
    3. David Forrest & Robert Simmons & Babatunde Buraimo, 2005. "Outcome Uncertainty And The Couch Potato Audience," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(4), pages 641-661, September.
    4. Biner, Burhan, 2009. "Equal Strength or Dominant Teams: Policy Analysis of NFL," MPRA Paper 17920, University Library of Munich, Germany.
    5. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    6. Andrew S. Zimbalist, 2002. "Competitive Balance in Sports Leagues," Journal of Sports Economics, , vol. 3(2), pages 111-121, May.
    7. Simon Rottenberg, 1956. "The Baseball Players' Labor Market," Journal of Political Economy, University of Chicago Press, vol. 64(3), pages 242-242.
    8. Peel, David A & Thomas, Dennis A, 1988. "Outcome Uncertainty and the Demand for Football: An Analysis of Match Attendances in the English Football League," Scottish Journal of Political Economy, Scottish Economic Society, vol. 35(3), pages 242-249, August.
    9. Peel, David A & Thomas, Dennis A, 1992. "The Demand for Football: Some Evidence on Outcome Uncertainty," Empirical Economics, Springer, vol. 17(2), pages 323-331.
    10. P. Dorian Owen & Clayton R. Weatherston, 2004. "Uncertainty of Outcome and Super 12 Rugby Union Attendance," Journal of Sports Economics, , vol. 5(4), pages 347-370, November.
    11. Milton Friedman & L. J. Savage, 1948. "The Utility Analysis of Choices Involving Risk," Journal of Political Economy, University of Chicago Press, vol. 56(4), pages 279-279.
    12. Robert J. Lemke & Matthew Leonard & Kelebogile Tlhokwane, 2010. "Estimating Attendance at Major League Baseball Games for the 2007 Season," Journal of Sports Economics, , vol. 11(3), pages 316-348, June.
    13. Glenn Knowles & Keith Sherony & Mike Haupert, 1992. "The Demand for Major League Baseball: A Test of the Uncertainty of Outcome Hypothesis," The American Economist, Sage Publications, vol. 36(2), pages 72-80, October.
    14. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    15. Brad R. Humphreys, 2002. "Alternative Measures of Competitive Balance in Sports Leagues," Journal of Sports Economics, , vol. 3(2), pages 133-148, May.
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    Cited by:

    1. Di Domizio Marco & Caruso Raul, 2015. "Hooliganism and Demand for Football in Italy: Attendance and Counterviolence Policy Evaluation," German Economic Review, De Gruyter, vol. 16(2), pages 123-137, May.
    2. Lahvicka, Jiri, 2013. "Impact of playoffs on seasonal uncertainty in Czech ice hockey Extraliga," MPRA Paper 44608, University Library of Munich, Germany.
    3. Lahvicka, Jiri, 2013. "Does Match Uncertainty Increase Attendance? A Non-Regression Approach," MPRA Paper 48571, University Library of Munich, Germany.
    4. Rodney Paul & Andrew Weinbach & Nick Riccardi, 2019. "Attendance in the Canadian Hockey League: The Impact of Winning, Fighting, Uncertainty of Outcome, and Weather on Junior Hockey Attendance," IJFS, MDPI, vol. 7(1), pages 1-11, February.
    5. Coates, Dennis & Humphreys, Brad & Zhou, Li, 2012. "Outcome Uncertainty, Reference-Dependent Preferences and Live Game Attendance," Working Papers 2012-7, University of Alberta, Department of Economics.

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    More about this item

    Keywords

    Uncertainty of Outcome Hypothesis; Attendance demand ; NHL;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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