Multinomial logit models with continuous and discrete individual heterogeneity in R: the gmnl package
This paper introduces the package gmnl in R for estimation of multinomial logit models with
unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) …
unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) …
[PDF][PDF] Estimation of multinomial logit models in R: The mlogit Packages
Y Croissant - R package version 0.2-2. URL: http://cran. r-project. org …, 2012 - Citeseer
Abstract mlogit is a package for R which enables the estimation of the multinomial logit
models with individual and/or alternative specific variables. The main extensions of the basic …
models with individual and/or alternative specific variables. The main extensions of the basic …
[PDF][PDF] Specification, identification and estimation of the logit kernel (or continuous mixed logit) model
M Ben-Akiva, D Bolduc, J Walker - 2001 - academia.edu
Logit kernel is a discrete choice model that has both probit-like disturbances as well as an
additive iid extreme value (or Gumbel) disturbance à la multinomial logit. The result is an …
additive iid extreme value (or Gumbel) disturbance à la multinomial logit. The result is an …
Correlation and scale in mixed logit models
This paper examines sources of correlation among utility coefficients in models allowing for
random heterogeneity, including correlation that is induced by random scale heterogeneity …
random heterogeneity, including correlation that is induced by random scale heterogeneity …
Estimation of multinomial logit models with unobserved heterogeneity using maximum simulated likelihood
P Haan, A Uhlendorff - The Stata Journal, 2006 - journals.sagepub.com
In this paper, we suggest a Stata routine for multinomial logit models with unobserved
heterogeneity using maximum simulated likelihood based on Halton sequences. The …
heterogeneity using maximum simulated likelihood based on Halton sequences. The …
Fitting the generalized multinomial logit model in Stata
Fitting the Generalized Multinomial Logit Model in Stata Page 1 The Stata Journal (2013) 13,
Number 2, pp. 382–397 Fitting the generalized multinomial logit model in Stata Yuanyuan Gu …
Number 2, pp. 382–397 Fitting the generalized multinomial logit model in Stata Yuanyuan Gu …
Fitting mixed logit models by using maximum simulated likelihood
AR Hole - The stata journal, 2007 - journals.sagepub.com
Fitting Mixed Logit Models by Using Maximum Simulated Likelihood - Arne Risa Hole, 2007
Skip to main content Intended for healthcare professionals Sage Journals Home Search this …
Skip to main content Intended for healthcare professionals Sage Journals Home Search this …
The random coefficients logit model is identified
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 …
been widely used in empirical choice analysis for the last thirty years. We prove that the …
A note on the estimation of the multinomial logit model with random effects
The multinomial logit model with random effects is often used in modeling correlated
nominal polytomous data. Given that there is no standard software of fitting it, we advocate …
nominal polytomous data. Given that there is no standard software of fitting it, we advocate …
The generalized multinomial logit model: accounting for scale and coefficient heterogeneity
The mixed or heterogeneous multinomial logit (MIXL) model has become popular in a
number of fields, especially marketing, health economics, and industrial organization. In …
number of fields, especially marketing, health economics, and industrial organization. In …