IDEAS home Printed from https://ideas.repec.org/a/bla/ecinqu/v58y2020i1p462-473.html

Outcome Uncertainty, Fan Travel, And Aggregate Attendance

Author

Listed:
  • Brad R. Humphreys
  • Thomas J. Miceli

Abstract

The uncertainty of outcome hypothesis (UOH) informs economists' understanding of consumer decisions to attend sporting events and team revenue generation. We develop a model of fan behavior based on standard expected utility methods which incorporates fan heterogeneity in terms of decisions to travel to away games and strong preferences for wins. The model reflects aggregate attendance outcomes across local and visiting fans, generates predictions consistent with the UOH, and gives rise to concave league‐wide revenue functions. Empirical analysis of game outcomes and attendance at regular season National Basketball association games from 1979 to 2013 supports key predictions of the model. (JEL L83, D12, Z20)

Suggested Citation

  • Brad R. Humphreys & Thomas J. Miceli, 2020. "Outcome Uncertainty, Fan Travel, And Aggregate Attendance," Economic Inquiry, Western Economic Association International, vol. 58(1), pages 462-473, January.
  • Handle: RePEc:bla:ecinqu:v:58:y:2020:i:1:p:462-473
    DOI: 10.1111/ecin.12844
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/ecin.12844
    Download Restriction: no

    File URL: https://libkey.io/10.1111/ecin.12844?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Moonsup Hyun & Gareth J. Jones & Wonsok (Frank) Jee & Jeremy S. Jordan & James Du & Yohan Lee, 2023. "Revisiting the Uncertainty of Outcome Hypothesis and the Loss Aversion Hypothesis in the National Basketball Association: Adding a Predicted Game Quality Perspective," Journal of Sports Economics, , vol. 24(8), pages 1076-1096, December.
    2. Hojun Sung & Hyunwoong Pyun, 2023. "Disaggregated Attendance Demand: Comparing Daily Ticket Purchasers and Season Ticket Holders in K-League 1," Journal of Sports Economics, , vol. 24(6), pages 717-736, August.
    3. Thomas J. Miceli, 2024. "A Note on the Preferences of Sports Fans: Partisanship Versus Uncertainty of Outcome," Journal of Sports Economics, , vol. 25(2), pages 155-168, February.
    4. Gregory A. Falls & Paul A. Natke & Linlan Xiao, 2022. "College football attendance in the long run: The Football Championship Subdivision," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2172-2183, September.
    5. Brian M. Mills & Rodney Fort, 2023. "Performance Quality Preference Heterogeneity in Major League Baseball," Journal of Sports Economics, , vol. 24(3), pages 352-373, April.

    More about this item

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Z20 - Other Special Topics - - Sports Economics - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:ecinqu:v:58:y:2020:i:1:p:462-473. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/weaaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.