Efficiencies for Stepwise Regressions

Abstract

Much attention has been paid to bias of coefficients resulting from stepwise regressions. Looking at bias alone implies that stepwise estimates are inferior. However, using the criterion of relative mean square errors, it is shown for the two variable case that under certain circumstances, stepwise estimators are “better” than direct least squares estimators.