IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v132y2015icp112-116.html
   My bibliography  Save this article

Betting lines and college football television ratings

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176515001937
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2015.04.032?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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, 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

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


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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.

    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. Raul Caruso & Francesco Addesa & Marco Di Domizio, 2019. "The Determinants of the TV Demand for Soccer: Empirical Evidence on Italian Serie A for the Period 2008-2015," Journal of Sports Economics, , vol. 20(1), pages 25-49, January.
    2. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2017. "Game Outcome Uncertainty and the Demand for International Football Games: Evidence From the German TV Market," Journal of Media Economics, Taylor & Francis Journals, vol. 30(1), pages 31-45, January.
    3. 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.
    4. Jigyu Chung & Young Hoon Lee & Joon-Ho Kang, 2016. "Ex Ante and Ex Post Expectations of Outcome Uncertainty and Baseball Television Viewership," Journal of Sports Economics, , vol. 17(8), pages 790-812, December.
    5. Scott Tainsky & Jie Xu & Yilun Zhou, 2014. "Qualifying the Game Uncertainty Effect," Journal of Sports Economics, , vol. 15(3), pages 219-236, June.
    6. Petr A. Parshakov & Kseniya O. Baydina, 2017. "Brands or Uncertainty? An Empirical Test of the Uncertainty of Outcome Hypothesis in Russian Football," HSE Working papers WP BRP 163/EC/2017, National Research University Higher School of Economics.
    7. Coates, Dennis & Humphreys, Brad, 2011. "Game Attendance and Competitive Balance in the National Hockey League," Working Papers 2011-8, University of Alberta, Department of Economics.
    8. Tainsky, Scott & Kerwin, Shannon & Xu, Jie & Zhou, Yilun, 2014. "Will the real fans please remain seated? Gender and television ratings for pre-game and game broadcasts," Sport Management Review, Elsevier, vol. 17(2), pages 190-204.
    9. Scott Tainsky & Jie Xu & Brian M. Mills & Steven Salaga, 2016. "How Success and Uncertainty Compel Interest in Related Goods: Playoff Probability and Out-of-Market Television Viewership in the National Football League," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 48(1), pages 29-43, February.
    10. Wen-Jhan Jane, 2014. "The Relationship Between Outcome Uncertainties and Match Attendance: New Evidence in the National Basketball Association," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 45(2), pages 177-200, September.
    11. Trung Minh Dang & Ross Booth & Robert Brooks & Adi Schnytzer, 2015. "Do TV Viewers Value Uncertainty of Outcome? Evidence from the Australian Football League," The Economic Record, The Economic Society of Australia, vol. 91(295), pages 523-535, December.
    12. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2018. "Game Outcome Uncertainty and Television Audience Demand: New Evidence from German Football," German Economic Review, Verein für Socialpolitik, vol. 19(2), pages 140-161, May.
    13. Brian Mills & Rodney Fort, 2014. "League-Level Attendance And Outcome Uncertainty In U.S. Pro Sports Leagues," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 205-218, January.
    14. Georgios Nalbantis & Tim Pawlowski & Dominik Schreyer, 2023. "Substitution Effects and the Transnational Demand for European Soccer Telecasts," Journal of Sports Economics, , vol. 24(4), pages 407-442, May.
    15. Taeyeon Oh & Seomgyun Lee & Hayley Jang, 2023. "Outcome Uncertainty and ESports Viewership: The Case of Overwatch League," Journal of Sports Economics, , vol. 24(8), pages 971-992, December.
    16. Dominik Schreyer & Benno Torgler, 2018. "On the Role of Race Outcome Uncertainty in the TV Demand for Formula 1 Grands Prix," Journal of Sports Economics, , vol. 19(2), pages 211-229, February.
    17. R. Alan Bowman & James Lambrinos & Thomas Ashman, 2013. "Competitive Balance in the Eyes of the Sports Fan," Journal of Sports Economics, , vol. 14(5), pages 498-520, October.
    18. Paolo Di Betta & Carlo Amenta, 2010. "A die-hard aristocracy: competitive balance in Italian soccer, 1929-2009," Rivista di Diritto ed Economia dello Sport, Centro di diritto e business dello Sport, vol. 6(2), pages 13-40, Settembre.
    19. 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.
    20. Adam Cox, 2018. "Spectator Demand, Uncertainty of Results, and Public Interest," Journal of Sports Economics, , vol. 19(1), pages 3-30, January.

    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

    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:eee:ecolet:v:132:y:2015:i:c:p:112-116. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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.