Caltech Home > HSS Home > Research > Social Sciences Research > Working Papers > Axiomatizations of the Mixed Logit Model
open search form

Axiomatizations of the Mixed Logit Model

Paper Number: 1433
Creation Date: 09/15/2017

A mixed logit function, also known as a random-coefficients logit function, is an integral of logit functions. The mixed logit model is one of the most widely used models in the analysis of discrete choice. Observed behavior is described by a random choice function, which associates with each choice set a probability measure over the choice set. I obtain several necessary and sufficient conditions under which a random choice function becomes a mixed logit function. One condition is easy to interpret and another condition is easy to test.

Paper Length: 43 pages
Paper: sswp1433.pdf