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Wer und was bestimmen die Zuschauerzahlen in der Fußballbundesliga?

Author

Listed:
  • Horst Rottmann
  • Franz Seitz

Abstract

We analyze the determinants of match attendance in the German premier football league ("Fußballbundesliga") in the seasons 2001/02 to 2004/05, i.e. for 1,224 matches. For that purpose, we specify an econometric model which takes the capacity constraint of each stadium and heteroskedasticity into account. Our results reveal that variables of all five categories of factors influencing the demand for sport mentioned by Borland und Macdonald (2003) are relevant in our context. These are the preferences of the fans, economic factors which capture opportunity costs, the quality of viewing, the sporting contest in the form of uncertainty about the winner of the championship and the supply capacity. We also find significant non-linearities and special "Bayern München" effects.

Suggested Citation

  • Horst Rottmann & Franz Seitz, 2008. "Wer und was bestimmen die Zuschauerzahlen in der Fußballbundesliga?," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 128(2), pages 291-306.
    • Handle: RePEc:aeq:aeqsjb:v128_y2008_i2_q2_p291-306
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    Citations

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    Cited by:

    1. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2018. "Game Outcome Uncertainty in the English Premier League," Journal of Sports Economics, , vol. 19(5), pages 625-644, June.
    2. Schreyer, Dominik & Schmidt, Sascha L. & Torgler, Benno, 2016. "Against all odds? Exploring the role of game outcome uncertainty in season ticket holders’ stadium attendance demand," Journal of Economic Psychology, Elsevier, vol. 56(C), pages 192-217.
    3. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2019. "Football Spectator No-Show Behavior," Journal of Sports Economics, , vol. 20(4), pages 580-602, May.

    More about this item

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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