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

Daniele Pacifico () and Hong il Yoo ()
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Hong il Yoo: University of New South Wales

No 2012-49, Discussion Papers from School of Economics, The University of New South Wales

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

Keywords: st0001; lclogit; latent class model; EM algorithm; mixed logit (search for similar items in EconPapers)
JEL-codes: C35 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2012-11
New Economics Papers: this item is included in nep-dcm
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Citations: View citations in EconPapers (20)

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Related works:
Working Paper: Iclogit: a Stata module for estimating a mixed logit model with discrete mixing distribution via the Expectation-Maximization algorithm (2012)
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