All Rights Reserved
AccessEcon LLC 2006, 2008.
Powered by MinhViet JSC

 
Marcel die Dama, Boniface ngah Epo and Galex syrie Soh
 
''Developing a two way error component estimation model with disturbances following a special autoregressive (4) for quarterly data''
( 2013, Vol. 33 No.1 )
 
 
This paper provides an estimation method for a two way error component regression model where the time-varying disturbances are serially correlated, following a special AR (4) process for quarterly data. The variance-covariance matrix of the compound error terms and its spectral decomposition are also derived, allowing the computation of the Generalized Least Square (GLS) estimates and residuals. The Best Quadratic Unbiased (BQU) Estimates of the variance components are proposed, as well as estimates of all parameters involved in the resulting feasible GLS method.
 
 
Keywords: Serial Correlation, Two Way Random Effect Model, Autoregressive, Best Quadratic Unbiased Estimation
JEL: C5 - Econometric Modeling: General
C1 - Econometric and Statistical Methods: General
 
Manuscript Received : Jan 04 2013 Manuscript Accepted : Mar 07 2013

  This abstract has been downloaded 1648 times                The Full PDF of this paper has been downloaded 166389 times