Representing Heterogeneity in Consumer Response Models 1996 Choice Conference Participants
dc.contributor.author | DeSarbo, Wayne S. | en_US |
dc.contributor.author | Ansari, Asim | en_US |
dc.contributor.author | Chintagunta, Pradeep | en_US |
dc.contributor.author | Himmelberg, Charles | en_US |
dc.contributor.author | Jedidi, Kamel | en_US |
dc.contributor.author | Johnson, Richard M. | en_US |
dc.contributor.author | Kamakura, Wagner A. | en_US |
dc.contributor.author | Lenk, Peter J. | en_US |
dc.contributor.author | Srinivasan, Kannan | en_US |
dc.contributor.author | Wedel, Michel | en_US |
dc.date.accessioned | 2006-09-11T18:44:51Z | |
dc.date.available | 2006-09-11T18:44:51Z | |
dc.date.issued | 1997-07 | en_US |
dc.identifier.citation | Desarbo, 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.issn | 0923-0645 | en_US |
dc.identifier.issn | 1573-059X | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/47238 | |
dc.description.abstract | We 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.extent | 92085 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Economics / Management Science | en_US |
dc.subject.other | Marketing | en_US |
dc.subject.other | Heterogeneity | en_US |
dc.subject.other | Latent Structure Models | en_US |
dc.subject.other | Clusterwise Regression | en_US |
dc.subject.other | Random Coefficients Models | en_US |
dc.subject.other | Compound Distributions | en_US |
dc.title | Representing Heterogeneity in Consumer Response Models 1996 Choice Conference Participants | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Marketing | en_US |
dc.subject.hlbsecondlevel | Management | en_US |
dc.subject.hlbsecondlevel | West European Studies | en_US |
dc.subject.hlbsecondlevel | Southeast Asian and Pacific Languages and Cultures | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Humanities | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, USA | en_US |
dc.contributor.affiliationother | Department of Marketing, College of Business Administration, Pennsylvania State University, 701 Business Adminstration Building, University Park, PA, 16802-3007 | en_US |
dc.contributor.affiliationother | Columbia University, USA | en_US |
dc.contributor.affiliationother | University of Chicago, USA | en_US |
dc.contributor.affiliationother | Columbia University, USA | en_US |
dc.contributor.affiliationother | Columbia University, USA | en_US |
dc.contributor.affiliationother | Sawtooth Software, USA | en_US |
dc.contributor.affiliationother | University of Pittsburgh, USA | en_US |
dc.contributor.affiliationother | Carnegie Mellon University, USA | en_US |
dc.contributor.affiliationother | University of Groningen, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/47238/1/11002_2004_Article_138121.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1023/A:1007916714911 | en_US |
dc.identifier.source | Marketing Letters | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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