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The Effects of Outcome Uncertainty, Scoring, and Pregame Expectations on Nielsen Ratings for Bowl Championship Series Games

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  • Steven Salaga
  • Scott Tainsky

Abstract

This study utilizes Nielsen ratings to estimate the factors that influence viewership for Bowl Championship Series telecasts. Our modeling demonstrates increased start-of-game ratings for contests of higher absolute quality, but not of anticipated higher relative quality. Little support is generated for the notion of consumer preference for scoring. However, the relationship between outcome uncertainty and television ratings is dynamic as consumers initially prefer more certain games, but ratings increase systematically throughout a contest when the outcome of that contest becomes more uncertain. Preferences also exist for games in which actual outcomes match pregame expectations.

Suggested Citation

  • 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.
    • Handle: RePEc:sae:jospec:v:16:y:2015:i:5:p:439-459
    DOI: 10.1177/1527002513497236
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    2. 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.
    3. 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.
    4. Kenneth Linna & Evan Moore & Rodney Paul & Andrew Weinbach, 2014. "The Effects of the Clock and Kickoff Rule Changes on Actual and Market-Based Expected Scoring in NCAA Football," IJFS, MDPI, vol. 2(2), pages 1-14, April.
    5. 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.
    6. Jarrod Olson & Daniel F. Stone, 2014. "Suspense-Optimal College Football Play-Offs," Journal of Sports Economics, , vol. 15(5), pages 519-540, October.
    7. 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.
    8. Salaga, Steven & Tainsky, Scott, 2015. "Betting lines and college football television ratings," Economics Letters, Elsevier, vol. 132(C), pages 112-116.
    9. 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.

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