Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/65294
Authors: 
Temme, Dirk
Williams, John R.
Hildebrandt, Lutz
Year of Publication: 
2002
Series/Report no.: 
Discussion Papers, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes 2002,33
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.
Subjects: 
Monte Carlo simulation
Structural equation modelling
Unobserved heterogeneity
Model-based clustering
Finite mixtures
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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