Autori
Pacifico, Daniele
Yoo, il Hong

Titolo
Lclogit: a Stata module for estimating a mixedlogit model with discrete mixing distributionvia the Expectation-Maximization algorithm
Periodico
Ministero dell'Economia e delle Finanze. Dipartimento del Tesoro. Working paper
Anno: 2012 - Volume: 07 - Fascicolo: 6 - Pagina iniziale: 1 - Pagina finale: 12

This paper describe lclogit, a Stata module to fit latent class logit models through the Expectation-Maximization algorithm. The stability of this estimation method allows overcoming some of the computational difficulties that normally arise when fitting such models with many latent classes. This, in turn, permits users to estimate nonparameterically the mixing distribution of the random coefficients because the more the mass points of the latent class model, the better the approximation of the unknown joint density of the random coefficients.



SICI: 1972-411X(2012)07:6<1:LASMFE>2.0.ZU;2-9
Testo completo: http://www.dt.tesoro.it/export/sites/sitodt/modules/documenti_it/analisi_progammazione/working_papers/WP_N._6-2012.pdf

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