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Determinants of Demand for Televised Live Football: Features of the German National Football Team

Author

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  • Arne Feddersen

    (Department of Environmental and Business Economics, University of Southern Denmark, Esbjerg, Denmark, af@sam.sdu.dk)

  • Armin Rott

    (Institute for Media Economics, University of Hamburg and Hamburg Media School, Hamburg, Germany)

Abstract

This study analyzes all 216 broadcasts of the German national football team from January 1993 to June 2008 to identify which factors ensure the success of televised sport broadcasts. The results reveal that demand depends mostly on the type of match and its importance in a tournament context. Viewers prefer a national team with established star players and high-quality opponents. Factors unrelated to the sport, such as the kickoff time or weather, have some influence, but coaches and holidays are insignificant. Forecasts based on the proposed model can aid television broadcasters, sports rights agencies, advertisers, and media planners in determining the value of a particular broadcast.

Suggested Citation

  • Arne Feddersen & Armin Rott, 2011. "Determinants of Demand for Televised Live Football: Features of the German National Football Team," Journal of Sports Economics, , vol. 12(3), pages 352-369, June.
    • Handle: RePEc:sae:jospec:v:12:y:2011:i:3:p:352-369
    DOI: 10.1177/1527002511404783
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    References listed on IDEAS

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    3. 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.
    4. Alex Bryson & Giambattista Rossi & Rob Simmons, 2014. "The Migrant Wage Premium in Professional Football: A Superstar Effect?," Kyklos, Wiley Blackwell, vol. 67(1), pages 12-28, February.
    5. Morten Kringstad & Tor-Eirik Olsen & Tor Georg Jakobsen & Rasmus K. Storm & Nikolaj Schelde, 2021. "Match Experience at the Danish Women’s Soccer National A-Team Matches: An Explorative Study," Sustainability, MDPI, vol. 13(5), pages 1-20, March.
    6. Uribe, Rodrigo & Buzeta, Cristian & Manzur, Enrique & Alvarez, Isabel, 2021. "Determinants of football TV audience: The straight and ancillary effects of the presence of the local team on the FIFA world cup," Journal of Business Research, Elsevier, vol. 127(C), pages 454-463.
    7. Scoppa, Vincenzo, 2013. "Fatigue and Team Performance in Soccer: Evidence from the FIFA World Cup and the UEFA European Championship," IZA Discussion Papers 7519, Institute of Labor Economics (IZA).
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    9. Grimshaw Scott D. & Sabin R. Paul & Willes Keith M., 2013. "Analysis of the NCAA Men’s Final Four TV audience," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(2), pages 115-126, June.
    10. 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.
    11. Budzinski, Oliver & Feddersen, Arne, 2015. "Grundlagen der Sportnachfrage: Theorie und Empirie der Einflussfaktoren auf die Zuschauernachfrage," Ilmenau Economics Discussion Papers 94, Ilmenau University of Technology, Institute of Economics.
    12. Shoag, Daniel & Veuger, Stan, 2017. "Taking My Talents to South Beach (and Back)," Working Paper Series rwp17-019, Harvard University, John F. Kennedy School of Government.
    13. 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.
    14. Vincenzo Scoppa, 2015. "Fatigue and Team Performance in Soccer," Journal of Sports Economics, , vol. 16(5), pages 482-507, June.
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    17. Van Reeth, Daam, 2019. "Forecasting Tour de France TV audiences: A multi-country analysis," International Journal of Forecasting, Elsevier, vol. 35(2), pages 810-821.

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