We investigate the behavior of nonparametric kernel M-estimators in the presence of long-memory errors. The optimal bandwidth and a central limit theorem are obtained. It turns out that in the Gaussian case all kernel M-estimators have the same limiting normal distribution. The motivation behind...

In this study, we use extreme bounds analysis to test the robustness of the hypothesis that regional trading arrangements (RTAs) are trade creating. Extreme bounds analysis provides a more rigorous test of specification uncertainty than traditional econometric theory by incorporating prior...