Second-order expansion of mean squared error matrix of generalized least squares estimator with estimated parameters

Abstract

The second-order expansion of the mean squared error matrix of the generalized least squares estimators for the regression parameters is obtained when the samples and the estimators for the structural parameters contained in the variance-covariance matrix are independent.