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

Mogens Fosgerau, Michel Bierlaire

    Research output: Contribution to journalJournal articleResearchpeer-review

    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. (c) 2007 Elsevier Ltd. All rights reserved.
    Original languageEnglish
    JournalTransportation Research Part B: Methodological
    Volume41
    Issue number7
    Pages (from-to)784-794
    ISSN0191-2615
    DOIs
    Publication statusPublished - Aug 2007

    Keywords

    • mixed logit
    • random parameters
    • nonparametric
    • seminonparametric
    • hypothesis testing

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