IDEAS home Printed from https://ideas.repec.org/p/rdg/emxxdp/em-dp2023-13.html
   My bibliography  Save this paper

Exploring Entertainment Utility from Football Games

Author

Listed:
  • Tim Pawlowski

    (University of Tübingen)

  • Dooruj Rambaccussing

    (University of Dundee)

  • Philip Ramirez

    (Department of Economics, University of Reading)

  • James

    (Department of Economics, University of Reading)

  • Giambattista Rossi

    (Birkbeck University of London)

Abstract

Previous research exploring the role of belief dynamics for consumers in the entertainment industry has largely ignored the fact that emotional reactions are a function of the content and a consumer’s disposition towards certain participants involved in an event. By analyzing 19m tweets in combination with in-play information for 380 football matches played in the English Premier League we contribute to the literature in three ways. First, we present a setting for testing how belief dynamics drive behavior which is characterized by several desirable features for empirical research. Second, we present an approach for detecting fans and haters of a club as well as neutrals via sentiment revealed in Tweets. Third, by looking at behavioral responses to the temporal resolution of uncertainty during a game, we offer a fine-grained empirical test for the popular uncertainty-of-outcome hypothesis in sports.

Suggested Citation

  • Tim Pawlowski & Dooruj Rambaccussing & Philip Ramirez & James & Giambattista Rossi, 2023. "Exploring Entertainment Utility from Football Games," Economics Discussion Papers em-dp2023-13, Department of Economics, University of Reading.
    • Handle: RePEc:rdg:emxxdp:em-dp2023-13
    as

    Download full text from publisher

    File URL: https://research.reading.ac.uk/economics/wp-content/uploads/sites/87/2023/08/emdp202313.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Dillenberger, 2010. "Preferences for One‐Shot Resolution of Uncertainty and Allais‐Type Behavior," Econometrica, Econometric Society, vol. 78(6), pages 1973-2004, November.
    2. Walter C. Neale, 1964. "The Peculiar Economics of Professional Sports," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 78(1), pages 1-14.
    3. Gul, Faruk, 1991. "A Theory of Disappointment Aversion," Econometrica, Econometric Society, vol. 59(3), pages 667-686, May.
    4. Bizzozero, Paolo & Flepp, Raphael & Franck, Egon, 2016. "The importance of suspense and surprise in entertainment demand: Evidence from Wimbledon," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 47-63.
    5. Andrew Caplin & John Leahy, 2001. "Psychological Expected Utility Theory and Anticipatory Feelings," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 55-79.
    6. Simon Rottenberg, 1956. "The Baseball Players' Labor Market," Journal of Political Economy, University of Chicago Press, vol. 64, pages 242-242.
    7. Choi, Darwin & Hui, Sam K., 2014. "The role of surprise: Understanding overreaction and underreaction to unanticipated events using in-play soccer betting market," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 614-629.
    8. Jeffrey Ely & Alexander Frankel & Emir Kamenica, 2015. "Suspense and Surprise," Journal of Political Economy, University of Chicago Press, vol. 123(1), pages 215-260.
    9. Karen Croxson & J. James Reade, 2014. "Information and Efficiency: Goal Arrival in Soccer Betting," Economic Journal, Royal Economic Society, vol. 124(575), pages 62-91, March.
    10. Angelini, Giovanni & De Angelis, Luca & Singleton, Carl, 2022. "Informational efficiency and behaviour within in-play prediction markets," International Journal of Forecasting, Elsevier, vol. 38(1), pages 282-299.
    11. George Loewenstein, 2000. "Emotions in Economic Theory and Economic Behavior," American Economic Review, American Economic Association, vol. 90(2), pages 426-432, May.
    12. Babatunde Buraimo & David Forrest & Ian G. McHale & J.D. Tena, 2020. "Unscripted Drama: Soccer Audience Response To Suspense, Surprise, And Shock," Economic Inquiry, Western Economic Association International, vol. 58(2), pages 881-896, April.
    13. Kreps, David M & Porteus, Evan L, 1978. "Temporal Resolution of Uncertainty and Dynamic Choice Theory," Econometrica, Econometric Society, vol. 46(1), pages 185-200, January.
    14. Botond Koszegi & Matthew Rabin, 2009. "Reference-Dependent Consumption Plans," American Economic Review, American Economic Association, vol. 99(3), pages 909-936, June.
    15. Palacios-Huerta, Ignacio, 1999. "The Aversion to the Sequential Resolution of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 18(3), pages 249-269, October.
    16. Tim Pawlowski & Georgios Nalbantis & Dennis Coates, 2018. "Perceived Game Uncertainty, Suspense And The Demand For Sport," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 173-192, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Travis Richardson & Georgios Nalbantis & Tim Pawlowski, 2023. "Emotional Cues and the Demand for Televised Sports: Evidence from the UEFA Champions League," Journal of Sports Economics, , vol. 24(8), pages 993-1025, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Florian Zimmermann, 2015. "Clumped or Piecewise? Evidence on Preferences for Information," Management Science, INFORMS, vol. 61(4), pages 740-753, April.
    2. Brice Corgnet & Roberto Hernán González, 2023. "On The Appeal Of Complexity," Working Papers 2312, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    3. Li, Jian, 2020. "Preferences for partial information and ambiguity," Theoretical Economics, Econometric Society, vol. 15(3), July.
    4. Nielsen, Kirby, 2020. "Preferences for the resolution of uncertainty and the timing of information," Journal of Economic Theory, Elsevier, vol. 189(C).
    5. Pedro Garcia-del-Barrio & J. James Reade, 2022. "Does certainty on the winner diminish the interest in sport competitions? The case of formula one," Empirical Economics, Springer, vol. 63(2), pages 1059-1079, August.
    6. Georgios Nalbantis & Tim Pawlowski, 2019. "U.S. Demand for European Soccer Telecasts: A Between-Country Test of the Uncertainty of Outcome Hypothesis," Journal of Sports Economics, , vol. 20(6), pages 797-818, August.
    7. Raphael Flepp & Oliver Merz & Egon Franck, 2024. "When the league table lies: Does outcome bias lead to informationally inefficient markets?," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 414-429, January.
    8. Dillenberger, David & Rozen, Kareen, 2015. "History-dependent risk attitude," Journal of Economic Theory, Elsevier, vol. 157(C), pages 445-477.
    9. Marianne Andries & Valentin Haddad, 2020. "Information Aversion," Journal of Political Economy, University of Chicago Press, vol. 128(5), pages 1901-1939.
    10. Hsiaw, Alice, 2018. "Goal bracketing and self-control," Games and Economic Behavior, Elsevier, vol. 111(C), pages 100-121.
    11. Johannes Buckenmaier & Eugen Dimant & Ann-Christin Posten & Ulrich Schmidt, 2021. "Efficient Institutions and Effective Deterrence: On Timing and Uncertainty of Formal Sanctions," Journal of Risk and Uncertainty, Springer, vol. 62(2), pages 177-201, April.
    12. Travis Richardson & Georgios Nalbantis & Tim Pawlowski, 2023. "Emotional Cues and the Demand for Televised Sports: Evidence from the UEFA Champions League," Journal of Sports Economics, , vol. 24(8), pages 993-1025, December.
    13. David Dillenberger & Kareen Rozen, 2010. "Disappointment Cycles," PIER Working Paper Archive 10-028, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    14. David Dillenberger & Kareen Rozen, 2010. "History-Dependent Risk Attitude," Levine's Bibliography 661465000000000184, UCLA Department of Economics.
    15. Lucas M. Besters & Jan (J.C.) van Ours & Martin A. van Tuijl, 2018. "How outcome uncertainty, loss aversion and team quality affect stadium attendance in Dutch professional football," Tinbergen Institute Discussion Papers 18-082/V, Tinbergen Institute.
    16. Besters, Lucas M. & van Ours, Jan C. & van Tuijl, Martin A., 2019. "How outcome uncertainty, loss aversion and team quality affect stadium attendance in Dutch professional football," Journal of Economic Psychology, Elsevier, vol. 72(C), pages 117-127.
    17. Russell Golman & George Loewenstein & Andras Molnar & Silvia Saccardo, 2022. "The Demand for, and Avoidance of, Information," Management Science, INFORMS, vol. 68(9), pages 6454-6476, September.
    18. Kang, Min Jeong & Camerer, Colin, 2018. "Measured anxiety affects choices in experimental “clock” games," Research in Economics, Elsevier, vol. 72(1), pages 49-64.
    19. David Dillenberger & Kareen Rozen, 2011. "History-Dependent Risk Attitude, Second Version," PIER Working Paper Archive 12-029, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 14 Jul 2012.
    20. Babatunde Buraimo & David Forrest & Ian G. McHale & J.D. Tena, 2020. "Unscripted Drama: Soccer Audience Response To Suspense, Surprise, And Shock," Economic Inquiry, Western Economic Association International, vol. 58(2), pages 881-896, April.

    More about this item

    Keywords

    suspense; surprise; entertainment utility; football; tweets;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:rdg:emxxdp:em-dp2023-13. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Alexander Mihailov (email available below). General contact details of provider: https://edirc.repec.org/data/derdguk.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.