This paper examines small sample properties of the interval constrained least squares (INCLS) estimator and the inequality constrained least squares (ICLS) estimator when error terms have a multivariate t distribution. It is shown that as the error terms depart from the normal distribution, the biases of the constrained estimators become slightly large; but the gain of using the constrained estimators is increased if the constraint is true.
