Identification Problems in a Class of Mixture Models with an Application to the LISREL Model

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.

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Year of publication:	1998
Authors:	Mouchart, M. ; San Martin, E.
Institutions:	Catholique de Louvain - Institut de statistique
Subject:	MODELS

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Series:	Catholique de Louvain - Institut de statistique.
Type of publication:	Book / Working Paper
Notes:	20 pages
Classification:	C10 - Econometric and Statistical Methods: General. General
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005661158