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Representing Heterogeneity in Consumer Response Models 1996 Choice Conference Participants

dc.contributor.authorDeSarbo, Wayne S.en_US
dc.contributor.authorAnsari, Asimen_US
dc.contributor.authorChintagunta, Pradeepen_US
dc.contributor.authorHimmelberg, Charlesen_US
dc.contributor.authorJedidi, Kamelen_US
dc.contributor.authorJohnson, Richard M.en_US
dc.contributor.authorKamakura, Wagner A.en_US
dc.contributor.authorLenk, Peter J.en_US
dc.contributor.authorSrinivasan, Kannanen_US
dc.contributor.authorWedel, Michelen_US
dc.date.accessioned2006-09-11T18:44:51Z
dc.date.available2006-09-11T18:44:51Z
dc.date.issued1997-07en_US
dc.identifier.citationDesarbo, Wayne; Ansari, Asim; Chintagunta, Pradeep; Himmelberg, Charles; Jedidi, Kamel; Johnson, Richard; Kamakura, Wagner; Lenk, Peter; Srinivasan, Kannan; Wedel, Michel; (1997). "Representing Heterogeneity in Consumer Response Models 1996 Choice Conference Participants." Marketing Letters 8(3): 335-348. <http://hdl.handle.net/2027.42/47238>en_US
dc.identifier.issn0923-0645en_US
dc.identifier.issn1573-059Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/47238
dc.description.abstractWe define sources of heterogeneity in consumer utility functions relatedto individual differences in response tendencies, drivers of utility, formof the consumer utility function, perceptions of attributes, statedependencies, and stochasticity. A variety of alternative modelingapproaches are reviewed that accommodate subsets of these various sourcesincluding clusterwise regression, latent structure models, compounddistributions, random coefficients models, etc. We conclude by defining anumber of promising research areas in this field.en_US
dc.format.extent92085 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherEconomics / Management Scienceen_US
dc.subject.otherMarketingen_US
dc.subject.otherHeterogeneityen_US
dc.subject.otherLatent Structure Modelsen_US
dc.subject.otherClusterwise Regressionen_US
dc.subject.otherRandom Coefficients Modelsen_US
dc.subject.otherCompound Distributionsen_US
dc.titleRepresenting Heterogeneity in Consumer Response Models 1996 Choice Conference Participantsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMarketingen_US
dc.subject.hlbsecondlevelManagementen_US
dc.subject.hlbsecondlevelWest European Studiesen_US
dc.subject.hlbsecondlevelSoutheast Asian and Pacific Languages and Culturesen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, USAen_US
dc.contributor.affiliationotherDepartment of Marketing, College of Business Administration, Pennsylvania State University, 701 Business Adminstration Building, University Park, PA, 16802-3007en_US
dc.contributor.affiliationotherColumbia University, USAen_US
dc.contributor.affiliationotherUniversity of Chicago, USAen_US
dc.contributor.affiliationotherColumbia University, USAen_US
dc.contributor.affiliationotherColumbia University, USAen_US
dc.contributor.affiliationotherSawtooth Software, USAen_US
dc.contributor.affiliationotherUniversity of Pittsburgh, USAen_US
dc.contributor.affiliationotherCarnegie Mellon University, USAen_US
dc.contributor.affiliationotherUniversity of Groningen, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/47238/1/11002_2004_Article_138121.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1007916714911en_US
dc.identifier.sourceMarketing Lettersen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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