Risk comparison of the inequality constrained least squares and other related estimators under balanced loss

This paper considers the risks of the inequality constrained least squares and pre-test estimators using the balanced loss function proposed by Zellner. It is found that some of the well-known results which hold under squared error loss do not necessarily hold under a balanced loss function.