The random coefficients multinomial choice logit model, also known as the mixed logit, has
been widely used in empirical choice analysis for the last thirty years. We prove that the …

Discrete choice models are now used in a variety of situations in applied econometrics. By
far the model specification which is used most often is the multinomial logit model. Yet it is …

Multinomial logit models are used to model relationships between a polytomous response
variable and a set of regressor variables. The term “multinomial logit model” includes, in a …

Although the multinomial (or conditional) logit model (MNL) has been the standard in discr
choice econometrics for over 30 years, people have long questioned the restrictiveness of …

The logit-mixed logit (LML) model, which allows the analyst to semi-parametrically specify
the mixing distribution of preference heterogeneity, is a very recent advancement in logit …

This paper presents a flexible procedure for representing the distribution of random
parameters in mixed logit models. A logit formula is specified for the mixing distribution, in …

A number of authors have discussed the possible advantages of conditioning parameter
distributions on observed choices when working with Mixed Multinomial Logit models …

A computationally attractive model for the analysis of conjoint choice experiments is the
mixed multinomial logit model, a multinomial logit model in which it is assumed that the …

In this paper, we show that the sequential logit (SL) model, in which a choice process is
characterized as a sequence of independent multinomial logit models, is a limiting case of …

Within the realm of logit-type random parameter models to address unobserved
heterogeneity in preferences there are two dominant approaches: the mixed logit model …