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The Heterogenous Logit Model

Dubin, Jeffrey A. and Zeng, Langche (1991) The Heterogenous Logit Model. Social Science Working Paper, 759. California Institute of Technology , Pasadena, CA. (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20170831-135519750

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Abstract

Probabilistic choice systems in the generalized extreme value (GEV) family embody two restrictions not shared by the covariance probit model. First, the unobserved components of random utility are homoscedastic across individuals and alternatives. Second, the degree of similarity among alternatives is also assumed to be constant across individuals. This paper considers extensions to models in the GEV class which relax these two restrictions. An empirical application concerning the demand for cameras is developed to demonstrate the potential significance of the heterogenous logit model.


Item Type:Report or Paper (Working Paper)
Additional Information:The authors thank David M. Grether and Louis L. Wildefor helpful comments.
Group:Social Science Working Papers
Series Name:Social Science Working Paper
Issue or Number:759
Record Number:CaltechAUTHORS:20170831-135519750
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170831-135519750
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:81030
Collection:CaltechAUTHORS
Deposited By: Jacquelyn Bussone
Deposited On:31 Aug 2017 21:15
Last Modified:03 Oct 2019 18:37

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