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Abstract
We consider the risks of the Ordinary Least Squares, Restricted Least Squares and Pre-Test estimators of a regression coefficient under absolute error loss. These results are compared with their quadratic loss counterparts, and similar regions of risk dominance are found to hold, at least qualitatively.