As computing capability has grown dramatically, the transport choice model has rigorously
included latent variables. However, integrated latent and choice variable (ICLV) models are …

The simultaneous estimation method has overtaken the sequential approach as the
preferred estimation method for hybrid discrete choice models. Notwithstanding, the …

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 …

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 …

Endogeneity is an important issue that often arises in discrete choice models leading to
biased estimates of the parameters. We propose the extended multiple indicator solution …

Various transportation discrete-choice models suffer from endogeneity due to the omission
of attributes that are relevant for the decision maker, but cannot be measured by the …

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

Recent developments in discrete choice model formulation, estimation, and inference -
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This article proposes a method to estimate disaggregated discrete choice models with errors
in the variables. The objective is to estimate the discrete choice models' coefficients to …