This paper considers mixed, or random coefficients, multinomial logit (MMNL) models for
discrete response, and establishes the following results. Under mild regularity conditions …

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 …

Random utility maximization discrete choice models are widely used in transportation and
other fields to represent the choice of one among a set of mutually exclusive alternatives …

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 …

Econometric discrete choice analysis is an essential component of studying individual
choice behavior and is used in many diverse fields to model consumer demand for …

The multinomial logit model (MNL) has for many years provided the fundamental platform for
the analysis of discrete choice. The basic model's several shortcomings, most notably its …

The mixed logit model is considered to be the most promising state of the art discrete choice
model currently available. Increasingly researchers and practitioners are estimating mixed …

This paper proposes the use of a quasi-random sequence for the estimation of the mixed
multinomial logit model. The mixed multinomial structure is a flexible discrete choice …

Although the multinomial logit (MNL) model has achieved an established place in discrete
choice analysis, its limitations in accounting for differential substi-tutability among …

The nested logit model is currently the preferred extension to the simple multinomial logit
(MNL) discrete choice model. The appeal of the nested logit model is its ability to …