Keep it simple: Easy ways to estimate choice models for single consumers

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dc.contributor.author Eckert, C
dc.contributor.author Frischknecht, BD
dc.contributor.author Louviere, JJ
dc.contributor.editor Ballantine, P
dc.contributor.editor Finsterwalder, J
dc.date.accessioned 2012-02-02T11:11:17Z
dc.date.issued 2010-01
dc.identifier.citation Proceedings of the Australian and New Zealand Marketing Academy Conference 2010, 2010, pp. 1 - 7
dc.identifier.isbn 978-0-473-17820-8
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/16644
dc.description.abstract We show with Monte-Carlo simulations and empirical choice data sets that we can quickly and simply refine choice model estimates for individuals based on methods such as ordinary least squares regression and weighted least squares regression to produce well-behaved insample and out-of-sample predictions of choices. We use well-known regression methods to estimate choice models, which should allow many more researchers to estimate choice models and be confident that they are unlikely to make serious mistakes.
dc.publisher University of Canterbury
dc.title Keep it simple: Easy ways to estimate choice models for single consumers
dc.type Conference Proceeding
dc.description.version Published
dc.parent Proceedings of the Australian and New Zealand Marketing Academy Conference 2010
dc.journal.number en_US
dc.publocation Christchurch, New Zealand en_US
dc.publocation Christchurch, New Zealand
dc.publocation Christchurch, New Zealand
dc.publocation Christchurch, New Zealand
dc.publocation Christchurch, New Zealand
dc.identifier.startpage 1 en_US
dc.identifier.endpage 7 en_US
dc.cauo.name BUS.School of Marketing en_US
dc.conference Verified OK en_US
dc.conference Australian and New Zealand Marketing Academy Conference
dc.conference Australian and New Zealand Marketing Academy Conference
dc.conference Australian and New Zealand Marketing Academy Conference
dc.conference Australian and New Zealand Marketing Academy Conference
dc.for 150505 Marketing Research Methodology
dc.personcode 020132
dc.personcode 103760
dc.personcode 108926
dc.percentage 100 en_US
dc.classification.name Marketing Research Methodology en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom Australian and New Zealand Marketing Academy Conference en_US
dc.date.activity 20101129 en_US
dc.date.activity 2010-11-29
dc.date.activity 2010-11-29
dc.date.activity 2010-11-29
dc.date.activity 2010-11-29
dc.location.activity Christchurch, New Zealand en_US
dc.location.activity Christchurch, New Zealand
dc.location.activity Christchurch, New Zealand
dc.location.activity Christchurch, New Zealand
dc.location.activity Christchurch, New Zealand
dc.description.keywords Individual-level choice models, linear probability models en_US
dc.description.keywords Science & Technology
dc.description.keywords Physical Sciences
dc.description.keywords Chemistry, Multidisciplinary
dc.description.keywords Chemistry
dc.description.keywords CHEMISTRY, MULTIDISCIPLINARY
dc.description.keywords SELF-ASSEMBLED MONOLAYERS
dc.description.keywords DENSITY-FUNCTIONAL THEORY
dc.description.keywords AB-INITIO
dc.description.keywords PROTECTED AU-25
dc.description.keywords CLUSTERS
dc.description.keywords AU(111)
dc.description.keywords PSEUDOPOTENTIALS
dc.description.keywords ADSORPTION
dc.description.keywords METHYLTHIOLATE
dc.description.keywords METALS
dc.description.keywords Individual-level choice models, linear probability models
dc.description.keywords Individual-level choice models, linear probability models
dc.description.keywords Individual-level choice models, linear probability models
dc.description.keywords Individual-level choice models, linear probability models
pubs.embargo.period Not known
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/School of Marketing
pubs.organisational-group /University of Technology Sydney/Strength - Study of Choice
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10


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