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dc.contributor.authorDagsvik, John K.
dc.contributor.authorLiu, Gang
dc.date.accessioned2011-10-08T12:17:19Z
dc.date.available2011-10-08T12:17:19Z
dc.date.issued2006
dc.identifier.issn1892-753x
dc.identifier.urihttp://hdl.handle.net/11250/180159
dc.descriptionAbstracts with downloadable Discussion Papers in PDF are available on the Internet: http://www.ssb.noen_US
dc.description.abstractAbstract: In this paper we develop a framework for analyzing panel data with observations on rank ordered alternatives that allows for correlated random taste shifters across time and across alternatives. As a special case we obtain a nested logit model type for rank ordered alternatives. We have applied this framework to estimate several model versions for household demand for conventional and alternative fuel automobiles in Shanghai based on rank ordered data obtained from a stated preference survey. The preferred model is then used to calculate demand probabilities and elasticities and the willingness-to-pay for alternative fuel vehicles. Keywords: Random utility models, Nested rank ordered logit models, Automobile demand, Alternative fuel vehicles.en_US
dc.language.isoengen_US
dc.publisherStatistics Norwayen_US
dc.relation.ispartofseriesDiscussion Papers;No. 480
dc.subjectRandom utility modelsen_US
dc.subjectAutomobile demanden_US
dc.subjectAlternative fuel vehiclesen_US
dc.subjectJEL classification: C25en_US
dc.subjectJEL classification: C33en_US
dc.subjectJEL classification: L92en_US
dc.subjectShanghai
dc.titleA Framework for analyzing rank ordered panel data with application to automobile demanden_US
dc.typeWorking paperen_US
dc.subject.nsiVDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412en_US
dc.subject.nsiVDP::Social science: 200::Economics: 210::Economics: 212en_US
dc.source.pagenumber25 s.en_US


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