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The equality of OLS and GLS estimators in the linear regression model when the disturbances are spatially correlated

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Necessary and sufficient conditions for the equality of ordinary least squares and generalized least squares estimators in the linear regression model with firstorder spatial error processes are given.

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Two results on the efficiency of the almon lag technique

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Using first differences as a device against multicollinearity

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Mean square error matrix superiority of estimators under linear restrictions and misspecification

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