Data and Design for Choice Models in Marketing

Eckert, C

Data and Design for Choice Models in Marketing

Eckert, C

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Publisher:: Schaeffer - Poeschel Verlag
Publication Type:: Journal Article
Citation:: Die Betriebswirtschaft, 2009, 69 (2), pp. 253 - 264
Issue Date:: 2009-01

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Field	Value	Language
dc.contributor.author	Eckert, C https://orcid.org/0000-0002-8573-6978	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	Die Betriebswirtschaft, 2009, 69 (2), pp. 253 - 264	en_US
dc.identifier.issn	0342-7064	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11850
dc.description.abstract	This article reviews the data requirements in choice modeling in marketing research. Based on the distinction between revealed and stated choice data, the focus lies on both choosing an adequate model in the presence of unobservable exogenous variables and on the explicit construction of choice designs.	en_US
dc.publisher	Schaeffer - Poeschel Verlag	en_US
dc.relation.ispartof	Die Betriebswirtschaft	en_US
dc.relation.isbasedon	10.1108/CAER-10-2011-0147	en_US
dc.title	Data and Design for Choice Models in Marketing	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	69	en_US
utslib.for	150505 Marketing Research Methodology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Marketing Discipline
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.issue	2	en_US
pubs.volume	69	en_US

Abstract:

This article reviews the data requirements in choice modeling in marketing research. Based on the distinction between revealed and stated choice data, the focus lies on both choosing an adequate model in the presence of unobservable exogenous variables and on the explicit construction of choice designs.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/11850