Abstract Integrated Choice and Latent Variable (ICLV) models are an increasingly popular
extension to discrete choice models that attempt explicitly to model the cognitive process …

The Hybrid Choice Model (HCM) is a modeling framework that attempts to bridge the gap
between discrete choice models and behavioral theories by representing explicitly …

Endogeneity often arises in discrete-choice models, precluding the consistent estimation of
the model parameters, but it is habitually neglected in practical applications. The purpose of …

In the current paper, we propose a new multinomial probit-based model formulation for
integrated choice and latent variable (ICLV) models, which, as we show in the paper, has …

The formulation of hybrid discrete choice models, including both observable alternative
attributes and latent variables associated with attitudes and perceptions, has become a topic …

Integrated choice and latent variable (ICLV) models represent a promising new class of
models which merge classic choice models with the structural equation approach (SEM) for …

In discrete choice modeling (DCM), model misspecifications may lead to limited
predictability and biased parameter estimates. In this paper, we propose a new approach for …

In the last decade, a broad array of disciplines has shown a general interest in enhancing
discrete choice models by considering the incorporation of psychological factors affecting …

The calibration of choice models produces a set of parameter estimates and an associated
covariance matrix, usually based on maximum likelihood estimation. However, in many …

A multitude of alternatives characterize the choice set in many activity and travel choice
contexts. Analysts generally sample alternatives from the choice set in such situations …