LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Wolfgang Maennig; Christopher Vierhaus (2015)
Publisher: Univ., Fac. of Business, Economics and Social Sciences, Chair for Economic Policy Hamburg
Types: Research
Subjects: Olympic Summer Games, mega events, bidding process, indicators, host election, IOC, Olympic Summer Games, mega events, bid cities, host city election, bidding process, IOC
ddc: ddc:330
The prospect of hosting the Olympic Games is attractive to many cities around the world. This article examines 147 variables’ potential to discriminate successful from unsuccessful Olympic bids. Our stepwise, rank-ordered logistic regression model includes 10 determinants supporting the contention that economic, political and sports/Olympic factors are important for winning the host city election. IOC members favor cities if more than 2/3 of the population support the bid, but disfavor bidding cities of fewer than 2.5 million inhabitants and bids lacking a sufficient number of existing stadiums. Hosts are characterized by larger markets and higher medium-term growth economies. Olympic bids that follow a political liberalization are rewarded with additional votes. Moreover, successful bids are more experienced at hosting and have no dispute with the International Olympic Committee (IOC). Finally, we observe “it is the country’s turn” election behavior – countries that have not hosted the Olympics for a long period are preferred.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • EDDINGS, W. / MARCHENKO, Y. (2011), Accounting for clustering with mi impute. Available at: http://www.stata.com/support/faqs/statistics/clustering-and-mi-impute/ (accessed 5 December 2013).
    • FEDDERSEN, A. / MAENNIG, W.: Wage and Employment Effects of the Olympic Games in Atlanta 1996 Reconsidered, 2009.
    • AHLFELDT, G., MAENNIG, W.: Assessing External Effects of City Airports: Land Values in Berlin, 2007.
    • FEDDERSEN, A.: Measuring Between-season Competitive Balance with Markov Chains, July 2006.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article