Choice Probability Generating Functions

Publication: ResearchReport – Annual report year: 2012

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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
Publication date2012
PublisherNational Bureau of Economic Research
StatePublished
NameNBER Working Paper Series
Number17970
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