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


  • Arne Feddersen

    (Department of Environmental and Business Economics, University of Southern Denmark, Esbjerg, Denmark,

  • Armin Rott

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


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

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    10. 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.
    11. 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.
    12. 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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    14. 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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