Publication Type

Journal Article

Version

submittedVersion

Publication Date

12-2015

Abstract

The multinomial logit (MNL) model is often used for analyzing route choices in real networks in spite of the fact that path utilities are believed to be correlated. Yet, statistical tests for model misspecification are rarely used. This paper shows how the information matrix test for model misspecification proposed byWhite (1982) can be applied to test path-based and link-based MNL route choice models.We present a Monte Carlo experiment using simulated data to assess the size and the power of the test and to compare its performance with the IIA (Hausman and McFadden, 1984) and McFadden–Train Lagrange multiplier (McFadden and Train, 2000) tests. Moreover, we test models estimated on real data and they are all rejected. Attributes correcting for correlation (path size and link size) improve model fit but do not affect the outcome of the test.

Keywords

Route choice, Model misspecification testing, Information matrix test, Recursive logit, Path size logit, Link size

Discipline

Databases and Information Systems | OS and Networks

Research Areas

Intelligent Systems and Optimization

Publication

Economics of Transportation

Volume

4

Issue

4

First Page

215

Last Page

226

ISSN

2212-0122

Identifier

10.1016/j.ecotra.2015.08.002

Publisher

Elsevier BV

Additional URL

https://doi.org/10.1016/j.ecotra.2015.08.002

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