Hybrid choice models have been developed as an extension of discrete choice models,
particularly multinomial logit models, in an attempt to include attitudinal variables. The …

Hybrid choice models expand the standard models in discrete choice modelling by
incorporating psychological factors as latent variables. They could therefore provide further …

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 …

We investigate the problem of endogeneity and measurement bias arising from
incorporating indicator variables (eg, measures of attitudes) into discrete choice models. We …

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

Conventional microeconomic theory has tended to regard individual consumers as rational
self-interested actors engaged in a constant process of evaluating the costs and benefits …

Mixed-logit models are currently the state of the art in discrete-choice modelling, and their
estimation in various forms (in particular, mixing revealed-preference and stated-preference …

This paper describes the application of the extended or universal logit model to
decompositional or “stated” choice modeling in order to increase the scope and validity of …

We discuss the development of predictive choice models that go beyond the random utility
model in its narrowest formulation. Such approaches incorporate several elements of …

The formulation of hybrid discrete choice (HDC) models including both observable
alternative attributes and latent variables associated with attitudes and perceptions has …