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How to Win the Olympic Games - The Empirics of Key Success Factors of Olympic Bids

Author

Listed:
  • Arne Feddersen

    (Chair for Economic Policy, University of Hamburg)

  • Wolfgang Maennig

    (Chair for Economic Policy, University of Hamburg)

  • Philipp Zimmermann

Abstract

This paper examines the probability of the success of city bid campaigns on the basis of quantified determinants for a total of 48 bids for the Summer Olympic Games between 1992 and 2012. Using a model comprising the distance of sporting venues from the Olympic Village, local temperatures and unemployment rates, we can correctly predict the decision for 100% of failed bids and 50% of successful bids.

Suggested Citation

  • Arne Feddersen & Wolfgang Maennig & Philipp Zimmermann, 2007. "How to Win the Olympic Games - The Empirics of Key Success Factors of Olympic Bids," Working Papers 002, Chair for Economic Policy, University of Hamburg.
    • Handle: RePEc:hce:wpaper:002
    as

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    File URL: http://www.hced.uni-hamburg.de/WorkingPapers/200702.pdf
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    References listed on IDEAS

    as
    1. Arne Feddersen & Wolfgang Maennig, 2005. "Trends in Competitive Balance: Is there Evidence for Growing Imbalance in Professional Sport Leagues?," Working Papers 0012005, Chair for Economic Policy, University of Hamburg.
    2. Robert Baade & Victor Matheson, 2000. "Bidding for the Olympics: Fools Gold?," IASE Conference Papers 0007, International Association of Sports Economists.
    3. Wolfgang Maennig, 2002. "On the Economics of Doping and Corruption in International Sports," Journal of Sports Economics, , vol. 3(1), pages 61-89, February.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Loek Groot, 2012. "The Contest for Olympic Success as a Public Good," Journal of Income Distribution, Ad libros publications inc., vol. 21(1), pages 102-117, March.
    2. Falch, Torberg & Fischer, Justina A.V., 2012. "Public sector decentralization and school performance: International evidence," Economics Letters, Elsevier, vol. 114(3), pages 276-279.
    3. John K. Wilson & Richard Pomfret, 2014. "Public Policy and Professional Sports," Books, Edward Elgar Publishing, number 15381.
    4. Fischer, Justina AV & Sousa-Poza, Alfonso, 2010. "The impact of institutions on firms’ rejuvenation policies: Early retirement with severance pay versus simple lay-off. A Cross-European Analysis," MPRA Paper 20343, University Library of Munich, Germany.
    5. Christopher Hautbois & Milena M. Parent & Benoît Séguin, 2012. "How to win a bid for major sporting events? A stakeholder analysis of the 2018 Olympic Winter Games French bid," Post-Print hal-03550776, HAL.

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    More about this item

    Keywords

    Olympic Games; Bidding process; Key success factors; Binary logistical regression;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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