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Allowing for intra-respondent variations in coefficients estimated on repeated choice data

Hess, S and Rose, JM (2009) Allowing for intra-respondent variations in coefficients estimated on repeated choice data. Transportation Research Part B: Methodological, 43 (6). 708 - 719 . ISSN 0191-2615


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Partly as a result of the increasing reliance on Stated Choice (SC) data, the vast majority of discrete choice modelling applications are now estimated on data containing multiple observations for each respondent. At the same time there has been growing interest in the representation of unexplained heterogeneity in choice data, using random coefficients models such as Mixed Multinomial Logit (MMNL). The presence of multiple observations for each respondent can indeed be a great asset in the identification of such variations in tastes. However, in this paper, we question the validity of the common assumption that tastes vary across respondents but stay constant across repeated choices for the same respondent. We extend the existing framework for the MMNL analysis of panel data by allowing for intra-respondent heterogeneity on top of inter-respondent heterogeneity. An empirical analysis making use of a SC dataset for route choice confirms our hypotheses and shows that superior performance is obtained by our more general model.

Item Type: Article
Copyright, Publisher and Additional Information: © 2009 Elsevier. This is an author produced version of a paper subsequently published in Transportation Research Part B: Methodological. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Stated Choice, Mixed Logit, Panel Data, Taste heterogeneity, Repeated choice
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 24 Nov 2011 12:19
Last Modified: 15 Sep 2014 03:48
Published Version: http://dx.doi.org/10.1016/j.trb.2009.01.007
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: 10.1016/j.trb.2009.01.007
Related URLs:
URI: http://eprints.whiterose.ac.uk/id/eprint/43444

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