Comparing designs for choice experiments: A case study

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dc.contributor.author Burgess, LB
dc.contributor.author Street, D
dc.contributor.author Wasi, N
dc.date.accessioned 2012-10-12T03:32:48Z
dc.date.issued 2011-01
dc.identifier.citation Journal of Statistical Theory and Practice, 2011, 5 (1), pp. 25 - 46
dc.identifier.issn 1559-8608
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/17943
dc.description.abstract This paper describes an empirical comparison of the performance of four designs for a discrete choice experiment. These designs were chosen to represent the range of construction techniques that are currently popular for choice experiments when no prior knowledge of the parameters is available. Each design had 320 respondents who each completed 16 choice sets. The results suggest that for the multinomial logit model (MNL) the design that is used at this stage is fairly unimportant. As the sample size gets smaller, however, differences between the designs become apparent. We also analysed the results using four different models which accommodate preference heterogeneity. We find that any of these models are able to predict choices more accurately for born in-sample and out-of-sample than the MNL model for the designs used here, and that the differences across designs arc larger for models with more parameters, although preliminary results suggest the gain appears to depend on the underlying preference structure.
dc.publisher Grace Scientific Publishing
dc.relation.isbasedon 10.1080/15598608.2011.10412048
dc.title Comparing designs for choice experiments: A case study
dc.type Journal Article
dc.parent Journal of Statistical Theory and Practice
dc.journal.volume 1
dc.journal.volume 5
dc.journal.number 1 en_US
dc.publocation United States en_US
dc.identifier.startpage 25 en_US
dc.identifier.endpage 46 en_US
dc.cauo.name SCI.Mathematical Sciences en_US
dc.conference Verified OK en_US
dc.for 0104 Statistics
dc.personcode 950324
dc.personcode 960812
dc.personcode 996634
dc.percentage 100 en_US
dc.classification.name Statistics en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords MNL model, GMNL model, Mixed logit, Stated preference experiments
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 Science
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc true
utslib.collection.history School of Mathematical Sciences (ID: 340)
utslib.collection.history Closed (ID: 3)


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