Bayesian analysis of multi-group nonlinear structural equation models with application to behavioral finance
Abstract
Structural equation models (SEMs) have been widely used to determine the relationships among certain observed and latent variables in behavioral finance. The purpose of this paper is to develop a Bayesian approach for analysing multi-group nonlinear SEMs. Using recently developed tools in statistical computing, such as the Gibbs sampler, we propose an efficient method to estimate parameters and select an appropriate model. The proposed method is...
Paper Details
Title
Bayesian analysis of multi-group nonlinear structural equation models with application to behavioral finance
Published Date
Mar 1, 2012
Journal
Volume
12
Issue
3
Pages
477 - 488
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