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Betting lines and college football television ratings

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  • Salaga, Steven
  • Tainsky, Scott

Abstract

Speculation has long proposed that interest in live sports programming has been fueled by the gambling market. We separate interest in outcome uncertainty from interest in the betting market and uncover that consumers are sensitive to contest outcomes relative to both the sides and totals markets.

Suggested Citation

  • Salaga, Steven & Tainsky, Scott, 2015. "Betting lines and college football television ratings," Economics Letters, Elsevier, vol. 132(C), pages 112-116.
    • Handle: RePEc:eee:ecolet:v:132:y:2015:i:c:p:112-116
    DOI: 10.1016/j.econlet.2015.04.032
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    References listed on IDEAS

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    1. 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.
    2. Steven Salaga & Scott Tainsky, 2015. "The Effects of Outcome Uncertainty, Scoring, and Pregame Expectations on Nielsen Ratings for Bowl Championship Series Games," Journal of Sports Economics, , vol. 16(5), pages 439-459, June.
    3. Simon Rottenberg, 1956. "The Baseball Players' Labor Market," Journal of Political Economy, University of Chicago Press, vol. 64(3), pages 242-242.
    4. ., 2014. "The industry structure of team sports," Chapters, in: Public Policy and Professional Sports, chapter 2, pages 17-39, Edward Elgar Publishing.
    5. Rodney Paul & Andrew Weinbach, 2011. "NFL bettor biases and price setting: further tests of the Levitt hypothesis of sportsbook behaviour," Applied Economics Letters, Taylor & Francis Journals, vol. 18(2), pages 193-197.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Humphreys, Brad R & Pérez, Levi, 2019. "Loss aversion, upset preference, and sports television viewing audience size," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 78(C), pages 61-67.
    2. Evan Moore & James Francisco, 2019. "Efficiency, Profitability, and College Football: do Bettors Overrate the Major Conferences in Interconference Play?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(2), pages 159-167, June.
    3. James Francisco & Evan Moore, 2019. "Betting with house money: reverse line movement based strategies in college football totals markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(4), pages 813-827, October.
    4. Jyh-How Huang & Chung-Yi Lu & Yu-Chia Hsu, 2023. "Potential Baseball Fan Engagement: The Determinants of a New Television Audience in the Chinese Professional Baseball League during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
    5. Steven Salaga & Katie M Brown, 2018. "Momentum and betting market perceptions of momentum in college football," Applied Economics Letters, Taylor & Francis Journals, vol. 25(19), pages 1383-1388, November.
    6. Brown, Katie M. & Salaga, Steven, 2018. "NCAA football television viewership: Product quality and consumer preference relative to market expectations," Sport Management Review, Elsevier, vol. 21(4), pages 377-390.

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    More about this item

    Keywords

    Nielsen ratings; Television viewership; Betting lines; Outcome uncertainty;
    All these keywords.

    JEL classification:

    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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