A Transformation for General Variance Covariance Structures in a Two-Way Error Component Model

2011 ◽  
Author(s):  
Carlos de Porres ◽  
Jaya Krishnakumar
Keyword(s):  
Error Component ◽  
Component Model ◽  
Covariance Structures ◽  
Error Component Model

Monte Carlo results on several new and existing tests for the error component model

1992 ◽  
Vol 54 (1-3) ◽  
pp. 95-120 ◽  
Author(s):  
Badi H. Baltagi ◽  
Young-Jae Chang ◽  
Qi Li
Keyword(s):  
Monte Carlo ◽  
Error Component ◽  
Component Model ◽  
Error Component Model

Estimating Error Component Models With General MA(q) Disturbances

1994 ◽  
Vol 10 (2) ◽  
pp. 396-408 ◽  
Author(s):  
Badi H. Baltagi ◽  
Qi Li
Keyword(s):  
Monte Carlo ◽  
Panel Data ◽  
Estimation Method ◽  
Error Component ◽  
Component Model ◽  
Brute Force ◽  
Monte Carlo Experiments ◽  
Error Component Model ◽  
Simple Estimation ◽  
Component Models

This paper provides a simple estimation method for an error component regression model with general MA(q) remainder disturbances. The estimation method utilizes the transformation derived by Baltagi and Li [3] for an error component model with autoregressive remainder disturbances, and a standard orthogonalizing algorithm for the general MA(q) model. This estimation method is computationally simple utilizing only least-squares regressions. This is important for panel data regressions where brute force GLS is in many cases not feasible.This estimation method performs well relative to true GLS in Monte-Carlo experiments.

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