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2012•RePEc: Research Papers in EconomicsRequires access

A Stata module for estimating latent class conditional logit models via the Expectation-Maximization algorithm

Daniele Pacifico, Hong Il Yoo

Open publisher page 10 citations

Abstract

This paper describes lclogit, a Stata module for estimating a discrete mixture or latent class logit model via the EM algorithm.

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What this paper is about

This paper describes lclogit, a Stata module for estimating a discrete mixture or latent class logit model via the EM algorithm.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper describes lclogit, a Stata module for estimating a discrete mixture or latent class logit model via the EM algorithm.

Key concepts: Latent class model, Expectation–maximization algorithm, Mixed logit, Logit, Class (philosophy), Computer science, Logistic regression, Econometrics

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A Stata module for estimating latent class conditional logit models via the Expectation-Maximization algorithm — Research Paper | ScholarLens