Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit mode

William Greene, David A Hensher

Research output: Contribution to journalArticleResearchpeer-review

99 Citations (Scopus)

Abstract

Latent class models offer an alternative perspective to the popular mixed logit form, replacing the continuous distribution with a discrete distribution in which preference heterogeneity is captured by membership of distinct classes of utility description. Within each class, preference homogeneity is usually assumed, although interactions with observed contextual effects are permissible. A natural extension of the fixed parameter latent class model is a random parameter latent class model which allows for another layer of preference heterogeneity within each class. This article sets out the random parameter latent class model and illustrates its applications using a stated choice data set on alternative freight distribution attribute packages pivoted around a recent trip in Australia.
Original languageEnglish
Pages (from-to)1897-1902
Number of pages6
JournalApplied Economics
Volume45
Issue number14
DOIs
Publication statusPublished - 2013
Externally publishedYes

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