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.
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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
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