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Estimating Match and World Cup Winning Probabilities

In: International Handbook on the Economics of Mega Sporting Events

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  • Ruud H. Koning
  • Ian G. McHale

Abstract

From the Olympics to the World Cup, mega sporting events are a source of enjoyment for tens of thousands of people, but can also be a source of intense debate and controversy. This insightful Handbook addresses a number of central questions, including: How are host cities selected and under what economic conditions? How are these events organized, and how is local resistance overcome? Based on historical and empirical experience, what are the pitfalls for the organizers of these events? What are the potential economic benefits, including any international image effects? How can the costs be minimized and the benefits maximized for host cities and countries? How do these mega events impact the challenges of globalization and what is their environmental legacy?

Suggested Citation

  • Ruud H. Koning & Ian G. McHale, 2012. "Estimating Match and World Cup Winning Probabilities," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 11, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:14313_11
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    References listed on IDEAS

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    1. Scarf, Philip & Yusof, Muhammad Mat & Bilbao, Mark, 2009. "A numerical study of designs for sporting contests," European Journal of Operational Research, Elsevier, vol. 198(1), pages 190-198, October.
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    7. Koning, Ruud H. & Koolhaas, Michael & Renes, Gusta & Ridder, Geert, 2003. "A simulation model for football championships," European Journal of Operational Research, Elsevier, vol. 148(2), pages 268-276, July.
    8. Stefan Kesenne, 2007. "The Peculiar International Economics Of Professional Football In Europe," Scottish Journal of Political Economy, Scottish Economic Society, vol. 54(3), pages 388-399, July.
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    12. Klaassen F. J G M & Magnus J. R., 2001. "Are Points in Tennis Independent and Identically Distributed? Evidence From a Dynamic Binary Panel Data Model," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 500-509, June.
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    Cited by:

    1. Jeroen Schokkaert & Johan Swinnen, 2016. "Uncertainty of Outcome Is Higher in the Champions League Than in the European Cup," Journal of Sports Economics, , vol. 17(2), pages 115-147, February.

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