Published August 31, 2017
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The Heterogenous Logit Model
- Creators
- Dubin, Jeffrey A.
- Zeng, Langche
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.
Additional Information
The authors thank David M. Grether and Louis L. Wildefor helpful comments.Attached Files
Submitted - sswp759.pdf
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Additional details
- Eprint ID
- 81030
- Resolver ID
- CaltechAUTHORS:20170831-135519750
- Created
-
2017-08-31Created from EPrint's datestamp field
- Updated
-
2019-10-03Created from EPrint's last_modified field
- Caltech groups
- Social Science Working Papers
- Series Name
- Social Science Working Paper
- Series Volume or Issue Number
- 759