This paper is an updated version of the paper \Discrete choice models with multiplicative error terms" by Fosgerau and Bierlaire (2006). We propose a multiplicative speci cation of a discrete choice model that renders choice probabilities independent of the scale of the utility. The scale can thus be random with unspeci ed distribution. The model mostly outperforms the classical additive formul...

Abstract This study examines the monotonicity properties of expected revenue in a revenue management problem with respect to the consumers’ choice behavior and the market size. The consumer behavior is described by a general discrete choice model. The firm decides which subset of fare products to offer at each time period. An example shows that the usual stochastic order relation in consumers’ ...

The paper considers decision contexts in which the set of alternatives from which choices have to be made (the 'menu ' ) may convey information about the desirability of these alternatives. Our analysis is motivated by the fact fl~at in specifying an appropriate description of a choice situation an outside observer always has to neglect some 'dimensions ' of the decision problem. The central cl...

this paper studies housing choice under fuzzy circumstances. in this article, fuzzy distance method is employed for selection process. methodology of housing choice with fuzzy distance approach is based on the minimizing fuzzy distance of features from desired amount under fuzzy condition. meanwhile, in the discrete choice models, housing choice is based on utility maximizing of available optio...

logit models are one of the most important discrete choice models and they play an important role in describing decision makers’ choices among alternatives. in this paper the multi-nominal logit models has been used in mode choice modeling of isfahan. despite the availability of different mathematical computer programs there are not so many programs available for estimating discrete choice mode...

We derive new prox-functions on the simplex from additive random utility models of discrete choice. They are convex conjugates corresponding surplus functions. In particular, we explicitly convexity parameter choice associated with generalized extreme value models, and specifically nested logit models. Incorporated into subgradient schemes, lead to a probabilistic interpretations iteration step...