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Multicollinearity and the value of a priori information
Authors:Thomas E. Fomby  R. Carter Hill
Affiliation:1. Department of Economics , Southern Methodist University ,;2. University of Georgia ,
Abstract:A measure of multicollinearity is defined which is useful in evaluating maintained hypotheses and aiding estimator selection as it suggests when a non-traditional estimator proposed by Bock (1975) is minimax and dominates ordinary least squares. An example is used to illustrate the presented methodology.
Keywords:principal components regression  restricted least squares  stein-rule estimators
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