Choice Probability Generating Functions

Mogens Fosgerau, Daniel L McFadden, Michel Bierlaire

    Research output: Book/ReportReportResearch


    This paper considers discrete choice, with choice probabilities coming from maximization of preferences from a random utility field perturbed by additive location shifters (ARUM). Any ARUM can be characterized by a choice-probability generating function (CPGF) whose gradient gives the choice probabilities, and every CPGF is consistent with an ARUM. We relate CPGF to multivariate extreme value distributions, and review and extend methods for constructing CPGF for applications.
    Original languageEnglish
    PublisherNational Bureau of Economic Research
    Publication statusPublished - 2012
    SeriesNBER Working Paper Series


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