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Factor Residuals in SUR Regressions: Estimating Panels Allowing for Cross Sectional Correlation Author info | Abstract | Publisher info | Download info | Related research | Statistics D Robertson
J Symons
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.
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Paper provided by Centre for Economic Performance, LSE in its series CEP Discussion Papers with number
0473.
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Date of creation: Oct 2000Date of revision:
Handle: RePEc:cep:cepdps:0473Contact details of provider: Web page: http://cep.lse.ac.uk/pubs/
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Keywords: Panel data cross sectional correlation factor analysis References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.:
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