Kamel Jedidi

On Estimating Finite Mixtures of Multivariate Regression and Simultaneous Equation Models

Coauthor(s): Venkat Ramaswamy, Wayne DeSarbo, Michel Wedel.

Download:

Adobe Acrobat PDF

Abstract:
An Expectation-Maximization (EM) algorithm in a maximum likelihood framework is developed to estimate finite mixtures of multivariate regression and simultaneous equation models with multiple endogenous variables. A dataset with cross-sectional observations for a diverse sample of businesses illustrates the semiparametric approach.

Source: Structural Equation Modeling
Exact Citation:
Jedidi, Kamel, Venkat Ramaswamy, Wayne DeSarbo, and Michel Wedel. "On Estimating Finite Mixtures of Multivariate Regression and Simultaneous Equation Models." Structural Equation Modeling 3 (1996): 266-89.
Volume: 3
Pages: 266-89
Date: 1996