Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/25348
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dc.contributor.authorFeddersen, Arneen_US
dc.contributor.authorMaennig, Wolfgangen_US
dc.contributor.authorZimmermann, Philippen_US
dc.date.accessioned2008-03-25en_US
dc.date.accessioned2009-07-24T13:17:28Z-
dc.date.available2009-07-24T13:17:28Z-
dc.date.issued2007en_US
dc.identifier.isbn978-3-940369-19-2en_US
dc.identifier.urihttp://hdl.handle.net/10419/25348-
dc.description.abstractThis 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_US
dc.language.isoengen_US
dc.publisher|aUniv, Fak. Wirtschafts- und Sozialwiss., Dep. Wirtschaftswiss.|cHamburgen_US
dc.relation.ispartofseries|aHamburg contemporary economic discussions|x2en_US
dc.subject.jelL83en_US
dc.subject.jelC25en_US
dc.subject.ddc330en_US
dc.subject.keywordOlympic Gamesen_US
dc.subject.keywordBidding processen_US
dc.subject.keywordKey success factorsen_US
dc.subject.keywordBinary logistical regressionen_US
dc.titleHow to win the Olympic Games: the empirics of key success factors of Olympic bidsen_US
dc.type|aWorking Paperen_US
dc.identifier.ppn560338430en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-

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