Click on the name of the software to get a description plus a link for
downloading the code, manual, and sample data.
**** MATLAB Codes ****
Mixed Logit with a Flexible Mixing Distribution
Mixed logit estimation by maximum simulated likelihood
allows for panel or cross-sectional data.
Mixed logit estimation by Bayesian methods,
also called hierarchical Bayes, allows for panel or cross-sectional data, bounded
and unbounded distributions, and correlated or uncorrelated coefficients.
**** R codes ****
written by other researchers based on my Matlab and Gauss codes:
NEW: Mixed logit estimation, including models in willingness-to-pay(WTP)-space as well as preference-space, with fast estimation by maximum simulated likelihood.
Written by
Prof. John Helveston.
Code
Documentation
Mixed logit estimation by maximum simulated likelihood
Written by Yves Croissant (yves.croissant at univ-reunion.fr).
Mixed logit estimation by Bayesian methods,
also called hierarchical Bayes. Written by Jeff Dumont (Jeff.Dumont@rsginc.com).
**** GAUSS Codes ****
Mixed logit estimation for
cross-sectional data using maximum simulated likelihood
Mixed logit estimation for
panel data using maximum simulated likelihood
Mixed logit estimation by Bayesian methods,
also called hierarchical Bayes, allows for panel or
cross-sectional data, bounded and unbounded distributions, and correlated or
uncorrelated coefficients.
(Mixed
logit is also called random parameters logit and
error-components logit.)
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