The relative efficiency of OLS in the linear regression model with spatially autocorrelated errors
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The relative efficiency of the OLS-estimator in the linear regression model given spatially autocorrelated errors is considered. A theorem of Krämer and Donninger (1987) is shown to be wrong and a corrected proof of this result is given under an additional assumption.
KeywordsSpatial Autocorrelation Weighting Matrix Linear Regression Model Relative Efficiency Corrected Proof
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