Individual-specific point and interval conditional estimates of latent class logit parameters

M Sarrias, RA Daziano - Journal of choice modelling, 2018 - Elsevier
Within the realm of logit-type random parameter models to address unobserved
heterogeneity in preferences there are two dominant approaches: the mixed logit model …

Conditional parameter estimates from Mixed Logit models: distributional assumptions and a free software tool

S Hess - Journal of Choice Modelling, 2010 - Elsevier
A number of authors have discussed the possible advantages of conditioning parameter
distributions on observed choices when working with Mixed Multinomial Logit models …

Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models

P Bansal, RA Daziano, M Achtnicht - Journal of choice modelling, 2018 - Elsevier
The logit-mixed logit (LML) model is a very recent advancement in semiparametric discrete
choice models. LML represents the mixing distribution of a logit kernel as a sieve function …

[HTML][HTML] Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms

J Swait - Journal of choice modelling, 2023 - Elsevier
When estimating random coefficients models from choice data, decisions relating to the
multivariate density function assumed to describe preference heterogeneity across the …

Variance-component-based nested logit specifications: Improved formulation, and practical microsimulation of random disturbance terms

DS Bunch, DM Rocke - Journal of choice modelling, 2016 - Elsevier
The initial motivation leading to the results in this paper was a problem most choice
modeling researchers may have not considered: how to simulate random disturbance terms …

Extending the logit-mixed logit model for a combination of random and fixed parameters

P Bansal, RA Daziano, M Achtnicht - Journal of choice modelling, 2018 - Elsevier
The logit-mixed logit (LML) model, which allows the analyst to semi-parametrically specify
the mixing distribution of preference heterogeneity, is a very recent advancement in logit …

The random coefficients logit model is identified

P Bajari, J Fox, K il Kim, SP Ryan - 2009 - nber.org
The random coefficients, multinomial choice logit model has been widely used in empirical
choice analysis for the last 30 years. We are the first to prove that the distribution of random …

The random coefficients logit model is identified

JT Fox, K il Kim, SP Ryan, P Bajari - Journal of Econometrics, 2012 - Elsevier
The random coefficients multinomial choice logit model, also known as the mixed logit, has
been widely used in empirical choice analysis for the last thirty years. We prove that the …

Heteroscedastic control for random coefficients and error components in mixed logit

WH Greene, DA Hensher - Transportation Research Part E: Logistics and …, 2007 - Elsevier
Developments in simulation methods, and the computational power that is now available,
have enabled open-form discrete choice models such as mixed logit to be estimated with …

[HTML][HTML] Evaluating the predictive abilities of mixed logit models with unobserved inter-and intra-individual heterogeneity

R Krueger, M Bierlaire, RA Daziano, TH Rashidi… - Journal of choice …, 2021 - Elsevier
Mixed logit models with unobserved inter-and intra-individual heterogeneity hierarchically
extend standard mixed logit models by allowing tastes to vary randomly both across …