A Note on Two-Way ECM Estimation of SUR Systems on Unbalanced Panel Data
Silvia Platoni (),
Paolo Sckokai () and
Econometric Reviews, 2012, vol. 31, issue 2, 119-141
This article considers the two-way error components model (ECM) estimation of seemingly unrelated regressions (SUR) on unbalanced panel by generalized least squares (GLS). As suggested by BiÃ¸rn (2004) for the one-way case, in order to use the standard results for the balanced case the individuals are arranged in groups according to the number of times they are observed. Thus, the GLS estimator can be interpreted as a matrix weighted average of the group specific GLS estimators with weights equal to the inverse of their respective covariance matrices.
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