This paper formulates a multidimensional choice model system that is capable of handling
multiple nominal variables, multiple count dependent variables, and multiple continuous …

This paper develops a blueprint (complete with matrix notation) to apply Bhat's (2011)
Maximum Approximate Composite Marginal Likelihood (MACML) inference approach for the …

Random utility models customarily assume strict independence of individual decision
makers. Evidence of crowding, peer pressure, herd behavior, and other instances of …

This paper evaluates the ability of the maximum approximate composite marginal likelihood
(MACML) estimation approach to recover parameters from finite samples in mixed cross …

In this chapter, we provide an overview of the motivation for, and structure of, advanced
discrete choice models derived from random-utility maximization. The discussion is intended …

In this paper the statistical and predictive performance of two disaggregate choice models
that incorporate probabilistic choice set formation are compared with a standard logit …

Endogeneity and correlated alternatives are major concerns to be addressed in travel
behavior analysis. However, these issues have rarely been dealt with simultaneously in …

Motivated by practical and theoretical shortcomings of existing discrete choice models of
travel behavior, especially in the application context of developing countries, this research …

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 …

Discrete choice models and, more recently, latent variable models have been widely applied
to problems in transportation, economics, geography, marketing, public policy and …