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https://hdl.handle.net/10419/25348
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Feddersen, Arne | en |
dc.contributor.author | Maennig, Wolfgang | en |
dc.contributor.author | Zimmermann, Philipp | en |
dc.date.accessioned | 2008-03-25 | - |
dc.date.accessioned | 2009-07-24T13:17:28Z | - |
dc.date.available | 2009-07-24T13:17:28Z | - |
dc.date.issued | 2007 | en |
dc.identifier.isbn | 978-3-940369-19-2 | en |
dc.identifier.uri | http://hdl.handle.net/10419/25348 | - |
dc.description.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. | en |
dc.language.iso | eng | en |
dc.publisher | |aUniversity of Hamburg, Faculty of Business, Economics and Social Sciences, Chair for Economic Policy |cHamburg | en |
dc.relation.ispartofseries | |aHamburg Contemporary Economic Discussions |x2 | en |
dc.subject.jel | L83 | en |
dc.subject.jel | C25 | en |
dc.subject.ddc | 330 | en |
dc.subject.keyword | Olympic Games | en |
dc.subject.keyword | Bidding process | en |
dc.subject.keyword | Key success factors | en |
dc.subject.keyword | Binary logistical regression | en |
dc.title | How to win the Olympic Games: the empirics of key success factors of Olympic bids | - |
dc.type | |aWorking Paper | en |
dc.identifier.ppn | 560338430 | en |
dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | en |
dc.identifier.repec | RePEc:hce:wpaper:002 | en |
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