Developing a two way error component estimation model with disturbances following a special autoregressive (4) for quarterly data

Marcel die Dama (), Boniface ngah Epo () and Galex syrie Soh ()
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Marcel die Dama: ESSEC-University of Douala, Cameroon
Boniface ngah Epo: FSEG-University of Yaounde 2, Cameroon
Galex syrie Soh: FSEG-University of Yaounde 2, Cameroon

Economics Bulletin, 2013, vol. 33, issue 1, 625-634

Abstract: 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 (search for similar items in EconPapers)
JEL-codes: C1 C5 (search for similar items in EconPapers)
Date: 2013-03-07
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