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• W2064345726 endingPage "98" @default.
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• W2064345726 abstract "The class of generalized extreme value models (GEV) was developed by McFadden (1981, Probabilistic theories of choice. In C. Manski & D. McFadden (Eds.), Structural analysis of discrete data, Cambridge, MA; MIT Press) with the purpose of extending the Luce model to account for interdependent utilities. While the Luce model satisfies the IIA property it has not been clarified whether the GEV class implies theoretical restrictions on the choice probabilities other than those that follow from the random utility framework, The present paper demonstrates that the GEV model yields no other restrictions on the choice probabilities beyond those following from the random utility model. We also extend the GEV class to the intertemporal situation and we prove that also in this case can the choice probabilities generated from random utility processes be approximated arbitrarily closely by choice probabilities from an intertemporal version of the GEV model." @default.
• W2064345726 created "2016-06-24" @default.
• W2064345726 creator A5072842459 @default.
• W2064345726 date "1995-03-01" @default.
• W2064345726 modified "2023-10-03" @default.
• W2064345726 title "How Large is the Class of Generalized Extreme Value Random Utility Models?" @default.
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• W2064345726 doi "https://doi.org/10.1006/jmps.1995.1008" @default.
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