A practical test for the choice of mixing distribution in discrete choice models

Mogens Fosgerau, Michel Bierlaire*

*Corresponding author for this work
74 Citations (Scopus)

Abstract

The choice of a specific distribution for random parameters of discrete choice models is a critical issue in transportation analysis. Indeed, various pieces of research have demonstrated that an inappropriate choice of the distribution may lead to serious bias in model forecast and in the estimated means of random parameters. In this paper, we propose a practical test, based on seminonparametric techniques. The test is analyzed both on synthetic and real data, and is shown to be simple and powerful.

Original languageEnglish
JournalTransportation Research Part B: Methodological
Volume41
Issue number7
Pages (from-to)784-794
Number of pages11
ISSN0191-2615
DOIs
Publication statusPublished - Aug 2007

Keywords

  • Hypothesis testing
  • Mixed logit
  • Nonparametric
  • Random parameters
  • Seminonparametric

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