Empirical Likelihood Ratio Test for Seemingly Unrelated Regression Models

Abstract

This paper considers the problem of testing independence of equations in a seemingly unrelated regression model. A novel empirical likelihood test approach is proposed, and under the null hypothesis it is shown to follow asymptotically a chi-square distribution. Finally, simulation studies and a real data example are conducted to illustrate the performance of the proposed method.