Identification problems in a class of mixture models with an application to the LISREL model

Michel Mouchart () and Ernesto San Martin
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Michel Mouchart: CORE and Institut de statistique, Université catholique de Louvain, Louvain-la-Neuve, Belgium

No 1998025, LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

Abstract: Five different identification problems in mixture models are made explicit. Necessary and sufficient relationships among these problems of identification are analyzed using the concepts of weak and strong identification. This analysis is first particularized under a normality assumption and then used for LISREL models.

Keywords: Cut; hierarchical model; incidental parameters; latent variables; LISREL model; mixture model; strong identification; structural parameters; weak identification. (search for similar items in EconPapers)
Date: 1998-04-01
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Persistent link: https://EconPapers.repec.org/RePEc:cor:louvco:1998025

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