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Abstract:

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CEP Discussion Paper
Factor Residuals in SUR Regressions: Estimating Panels Allowing for Cross Sectional Correlation
Donald Robertson and James Symons October 2000
Paper No' CEPDP0473:
Full Paper (pdf)

Tags: panel data; cross sectional correlation; factor analysis

This paper describes a method for estimating panels by imposing a factor structure on the residuals. The method allows SUR estimation of panel models by providing a full-rank estimator of the system covariance matrix when the usual estimate is rank-deficient. We charactersie completely the circumstances when this is possible. When the usual estimator is of full rank, our procedure provides a more parsimonious representation of the covariance matrix, which can lead to efficiency gains in finite samples. Monte Carlo analysis of convergence regressions and PPP regressions in the Heston-Summers data-set indicates that the proposed estimator has better performance in terms of RMSE and bias than standard panel or SUR estimators (where available), as well as offering unbiased inference.