CONTEXT DEPENDENT PROBABILISTIC CHOICE MODELS BASED ON MEASURES OF BINARY ADVANTAGE

Rotondo has developed a constant utility generalization of Luce's choice model that can handle various examples that contradict the choice model. This paper axiomatizes a generalization of Rotondo's model and discusses unidimensional and multidimensional versions of that generalization; several additional incomplete characterizations of the model are also presented. The class of random advantage models, which generalizes the classical random utility family, is presented and related to the generalized Rotondo model.