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

William Greene and David Hensher

Applied Economics, 2013, vol. 45, issue 14, 1897-1902

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.

Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (93)

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2011.650325 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Revealing Additional Dimensions of Preference Heterogeneity in a Latent Class Mixed Multinomial Logit Model (2010)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:45:y:2013:i:14:p:1897-1902

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036846.2011.650325

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().