Fitting nonparametric mixed logit models via expectation-maximization algorithm

13Citations
Citations of this article
25Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this article, I provide an illustrative, step-by-step implementation of the expectation-maximization algorithm for the nonparametric estimation of mixed logit models. In particular, the proposed routine allows users to fit straightforwardly latent-class logit models with an increasing number of mass points so as to approximate the unobserved structure of the mixing distribution. © 2012 StataCorp LP.

Cite

CITATION STYLE

APA

Pacifico, D. (2012). Fitting nonparametric mixed logit models via expectation-maximization algorithm. Stata Journal, 12(2), 284–298. https://doi.org/10.1177/1536867x1201200207

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free