Structural equation models for finite mixtures: Simulation results and empirical applications

Dirk Temme, John R. Williams and Lutz Hildebrandt

No 2002,33, SFB 373 Discussion Papers from Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes

Abstract: Unobserved heterogeneity is a serious but often neglected problem in structural equation modelling (SEM) challenging the validity of many empirical results. Recently, a finite mixture approach to SEM has been proposed to resolve this problem but until now only a few studies analyse the performance of the relevant software. The contribution of this paper is twofold: First, results from a Monte Carlo study into the properties of the program system MECOSA are presented. Second, an empirical application to data from a large-scale consumer survey in the fast moving consumer goods industry is described.

Keywords: Monte Carlo simulation; Structural equation modelling; Unobserved heterogeneity; Model-based clustering; Finite mixtures (search for similar items in EconPapers)
Date: 2002
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:sfb373:200233

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