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Title:

Random Covariance Heterogeneity in Discrete Choice Models

Accession Number:

01031626

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

In this paper, we extend the standard discrete choice modelling framework by allowing for random variation in the substitution patterns between alternatives across respondents, leading to increased model flexibility. The paper shows how such a Mixed Covariance model can be specified either with purely random variation or with a mixture between random and deterministic variation. Additionally, the model can be based on an underlying GEV or ECL structure. Finally, the model can be specified as a continuous mixture or as a discrete mixture. A brief application on simulated data shows that our proposed model structure is able to retrieve variations in the error-structure across respondents, hence avoiding a source of bias in forecasting applications.

Monograph Accession #:

01020180

Report/Paper Numbers:

06-2297

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Hess, Stephane
Polak, John W
Bolduc, Denis

Pagination:

25p

Publication Date:

2006

Conference:

Transportation Research Board 85th Annual Meeting

Location: Washington DC, United States
Date: 2006-1-22 to 2006-1-26
Sponsors: Transportation Research Board

Media Type:

CD-ROM

Features:

Appendices; References; Tables (2)

Subject Areas:

Highways; Planning and Forecasting; I10: Economics and Administration

Source Data:

Transportation Research Board Annual Meeting 2006 Paper #06-2297

Files:

TRIS, TRB

Created Date:

Mar 3 2006 10:56AM