The logit model is the simplest and bestEM-known probabilistic choice model. Nevertheless according to the deficient flexibility thereare problems of making use of the multinomial logit model. In thispaper a generalized logit model, which is essentially more flexiblethan the traditional multinomial logit model, is presented. Furthermore, the usual modal choice models are compared in respect to theirflexibility. This is done by calculating the partial derivatives ofthe choice probability functions atE~ MM a fixed point. The generalized logit model shows the same flexibility (in a precise sense) as the probit model, but is much more tractable. At the end of this paper anexample is set to show the differences in the functional forms betw~MMeen the new model and the traditional models (logit and probit).(A).
Abstract