论文信息 - A Comparative Study of Alternative Estimators for Variance Components Models Used in Econometric Applications

A Comparative Study of Alternative Estimators for Variance Components Models Used in Econometric Applications

Abstract The article investigates by means of Monte Carlo experiments the performance of the ML method, the MINQUE method and several other two-step Generalized Least Squares methods in estimating the slope coefficient in a variance components model. It concludes that in models with no lagged dependent variables there is nothing much to choose among these estimators.

T. D. Mount | G. S. Maddala | G. Maddala | T. Mount

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