Lclogit: A Stata Command for Fitting Latent-Class Conditional Logit Models via the Expectation-Maximization Algorithm-Reference-Cited by-同舟云学术

Lclogit: A Stata Command for Fitting Latent-Class Conditional Logit Models via the Expectation-Maximization Algorithm

Published:2013-09 Issue:3 Volume:13 Page:625-639
ISSN:1536-867X
Container-title:The Stata Journal: Promoting communications on statistics and Stata
language:en
Short-container-title:The Stata Journal

Author:

Pacifico Daniele¹,Yoo Hong il²

Affiliation:

1. Italian Department of the Treasury Rome, Italy

2. Durham University Durham, UK

Abstract

In this article, we describe lclogit, a Stata command for fitting a discrete-mixture or latent-class logit model via the expectation-maximization algorithm.

Publisher

SAGE Publications

Subject

Mathematics (miscellaneous)

Link

http://journals.sagepub.com/doi/pdf/10.1177/1536867X1301300312

Reference10 articles.

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3. A latent class model for discrete choice analysis: contrasts with mixed logit

4. HessS., Ben-AkivaM., GopinathD., and WalkerJ. 2011. Advantages of latent class over continuous mixture of logit models. http://www.stephanehess.me.uk/papers/Hess_Ben-Akiva_Gopinath_Walker_May_2011.pdf.

5. Fitting Mixed Logit Models by Using Maximum Simulated Likelihood

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