… the flexible estimation of heterogeneity in econometric models, … of covariates via a factor
model with few latent factors. In our … We extend their proof to sub-Gaussian errors and allow for …

… Extended discrete choice models: Integrated framework, flexible error structures, and latent
variables. PhD thesis, Massachusetts Institute of Technology. Walker, JL, & Ben-Akiva, ME (…

… a discrete choice (DC) experiment to measure the households' willingness to accept (WTA)
for an increase in the frequency of long … parameter and an error component specification. The …

… one of the most used discrete choice models based on an … than the conventional latent class
choice modelling approach (see … flexible alternative decision rule model with a less flexible …

… , from single discrete choice to multiple discrete-continuous choice, from … introduces random
error terms linearly in the latent and … or for forecasting over a long planning horizon, and so …

… the additional structure provided by the ARC model, we can allow for more flexible dependence
… In particular, our results show how to obtain identification when the errors are correlated …

… ABSTRACT Discrete choice models (DCMs) require a priori … systematic utility and the random
error structure known as a priori. … multinomial logit model and its latent class extension. OR …

… discrete choice models were more constrained, improving their estimation and flexibility. …
of the class-specific choice model with its corresponding standard errors. The utility for not …

… our experiment and the expanded hybrid choice model (HCM) … It unites latent variables with
discrete choice models. The origins … subsume the integration of flexible error structures and …

… As one of the most flexible methods in discrete choice analysis, … , we avoid simulation error
but incur approximation error which … As an extension of typical discrete choice models like the …