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:	Center for Operations Research and Econometrics (CORE), École des Sciences Économiques de Louvain
Subject:	MODELS \| ECONOMETRIC MODELS CENTER FOR OPERATIONS RESEARCH AND ECONOMETRICS (C.O.R.E.) \| LOUVAIN-LA-NEUVE BELGIQUE. 21p

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Series:	Papers.
Type of publication:	Book / Working Paper
Classification:	C1 - Econometric and Statistical Methods: General ; C5 - Econometric Modeling ; C52 - Model Evaluation and Testing
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005779510