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Discussion Papers in Statistics and Econometrics, Seminar für Wirtschafts- und Sozialstatistik, Universität Köln >

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dc.contributor.authorGarnowski, Martinen_US
dc.contributor.authorManner, Hansen_US
dc.date.accessioned2011-05-04T07:31:04Z-
dc.date.available2011-05-04T07:31:04Z-
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/10419/45357-
dc.description.abstractThe work at hand tries to identify factors that explain accidents on German Autobahn connectors. To find these factors the empirical study makes use of count data models. The findings are based on a set of 197 ramps, which we classified into three distinct types of ramps. For these ramps accident data was available for a period of 3 years (January 2003 until December 2005). The Negative Binomial model proved to be an appropriate model for our cross-sectional setting in detecting factors that cause accidents. The heterogeneity in our dataset forced us to investigate the three different types of ramps separately. By comparing results of the aggregated model and results of the ramp-specific models ramp-type-independent as well as ramp-type-specific factors were identified. The most significant variable in all models was a measure of the average daily traffic. For geometric variables not only continuous effects were found to be significant but also threshold effects.en_US
dc.language.isoengen_US
dc.publisherUniv., Seminar für Wirtschafts- und Sozialstatistik Kölnen_US
dc.relation.ispartofseriesDiscussion papers in statistics and econometrics 1/11en_US
dc.subject.ddc330en_US
dc.subject.keywordhighway connectorsen_US
dc.subject.keywordGerman Autobahnen_US
dc.subject.keywordaccident causesen_US
dc.subject.keywordPoisson regressionen_US
dc.subject.keywordNegative Binomial regressionen_US
dc.titleOn the causes of car accidents on German Autobahn connectorsen_US
dc.typeWorking Paperen_US
dc.identifier.ppn656650303en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
dc.identifier.repecRePEc:zbw:ucdpse:111-
Appears in Collections:Discussion Papers in Statistics and Econometrics, Seminar für Wirtschafts- und Sozialstatistik, Universität Köln

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