Optimal pre-test estimators in regression

Pre-testing in a linear regression model is studied with general measurable sets as ‘regions of significance’ for the usual test statistic t associated with the estimate of a given regression coefficient. Optimality under a general quadratic loss function and a general prior for the coefficient is discussed.