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The Determinants of Betting Volume for Sports in North America: Evidence of Sports Betting as Consumption in the NBA and NHL

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Listed:
  • Rodney J. Paul

    () (St. Bonaventure University)

  • Andrew P. Weinbach

    () (Coastal Carolina University)

Abstract

The National Basketball Association (NBA) and National Hockey League (NHL) are studied to ascertain the determinants of betting volume on an individual game-to-game basis. Actual betting volume was obtained and aggregated across three on-line sportsbooks for the 2008-09 season. Independent variables such as the quality of teams, television coverage by network, day of the week, time of day, month of the season, etc. are included in a regression model to determine the factors that influence betting volume. The results reveal betting behavior is much like fan behavior as key fan-attributes, such as the quality of teams and the availability of television coverage, are shown to have a positive and significant effect on betting volume. The results imply that consumption plays a major role in the decision to gamble on sports. Pure investment-based gambling appears to be the exception, rather than the norm. The implication of this result as it relates to models of sportsbook behavior is explored.

Suggested Citation

  • Rodney J. Paul & Andrew P. Weinbach, 2010. "The Determinants of Betting Volume for Sports in North America: Evidence of Sports Betting as Consumption in the NBA and NHL," International Journal of Sport Finance, Fitness Information Technology, vol. 5(2), pages 128-140, May.
  • Handle: RePEc:jsf:intjsf:v:5:y:2010:i:2:p:128-140
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Humphreys, Brad R. & Paul, Rodney J. & Weinbach, Andrew P., 2013. "Consumption benefits and gambling: Evidence from the NCAA basketball betting market," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 376-386.
    2. David Alan Peel, 2013. "On the Implications of the Markowitz Model of Utility embodying Gain Seeking Preferences for Odds on Betting and Bookmakers choice of Spread or Odds Betting," Economics Bulletin, AccessEcon, vol. 33(2), pages 1420-1428.
    3. Mao, Luke Lunhua & Zhang, James J. & Connaughton, Daniel P., 2015. "Sports gambling as consumption: Evidence from demand for sports lottery," Sport Management Review, Elsevier, vol. 18(3), pages 436-447.
    4. Benjamin Waggoner & Daniel Wines & Brian P. Soebbing & Chad S. Seifried & Jean Michael Martinez, 2014. "“Hot Hand” in the National Basketball Association Point Spread Betting Market: A 34-Year Analysis," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 2(4), pages 1-12, November.
    5. Luke Lunhua Mao & James J Zhang & Daniel P Connaughton, 2015. "Determinants of Demand for Sports Lottery: Insights from a Multilevel Model," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(8), pages 973-987, August.

    More about this item

    Keywords

    sports betting; efficient markets; consumption; television;

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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