Advanced choice models

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dc.contributor.author Swait, JRJD
dc.contributor.editor Kanninen, B
dc.date.accessioned 2012-02-02T02:49:19Z
dc.date.issued 2006-01
dc.identifier.citation Valuing Environmental Amenities Using Stated Choice Studies: A Common Sense Approach to Theory and Practice, 2006, 1st, pp. 229 - 293
dc.identifier.other B1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/14337
dc.description.abstract In Alberini et al. (this volume), an overview of the workhorse model (the Multinomial Logit, or MNL) for discrete choice analysis was presented from its conception to its practical use in predicting behavior and evaluating welfare impacts. Its highly nonlinear nature allows the MNL to capture a wide variety of compensatory attribute-based tradeoffs and has made this model specification a useful tool for economists, engineers and marketers. Allied to its flexibility is the fact that many general statistical analysis programs, as well as more specialized tools, straightforwardly implement estimation of the MNL model. And it doesnt hurt that the MNLs likelihood function is globally concave, implying that the output of these programs are guaranteed to be the maximum likelihood estimates (this is no small advantage in the realm we are about to enter).
dc.publisher Springer
dc.title Advanced choice models
dc.type Chapter
dc.parent Valuing Environmental Amenities Using Stated Choice Studies: A Common Sense Approach to Theory and Practice
dc.journal.number en_US
dc.publocation Netherlands en_US
dc.publocation Netherlands
dc.publocation Netherlands
dc.publocation Netherlands
dc.publocation Netherlands
dc.identifier.startpage 229 en_US
dc.identifier.endpage 293 en_US
dc.cauo.name BUS.Centre for the Study of Choice en_US
dc.conference Verified OK en_US
dc.for 140302 Econometric and Statistical Methods
dc.personcode 100729
dc.percentage 100 en_US
dc.classification.name Econometric and Statistical Methods en_US
dc.classification.type FOR-08 en_US
dc.edition 1st en_US
dc.edition 1st
dc.edition 1st
dc.edition 1st
dc.edition 1st
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords NA en_US
dc.description.keywords subspace clustering
dc.description.keywords distance-based clustering
dc.description.keywords biclustering
dc.description.keywords NA
dc.description.keywords NA
dc.description.keywords NA
dc.description.keywords NA
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/Strength - Study of Choice
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10


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