We Present Several Small-Sample Results on the Distribution of Residuals and Estimators of the Disturbance Variance in Econometric Models. We Consider General Linear and Nonlinear Models with Stochastic Regressors and Possibly Nonlinear Restrictions on the Parameters. These Include...

The presence of nuisance parameters causes unexpected complications in econometric inference problems. A number of modified likelihood and message length functions have been developed for better handling of nuisance parameters but all of them are not equally efficient. In this paper, we...

This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not.