Before revision:  We apply the methods to compare in three different settings twelve different estimators for average treatment effects under unconfoundedness . We conclude in this example that (i) there is not one estimator that outperforms the others in all three settings,  and (ii) that systematic simulation studies can be helpful for selecting among competing methods  .
After revision:  We apply the methods to compare in three different settings twelve different estimators for average treatment effects under unconfoundedness in three distinct settings (corresponding to three real data sets) and present a methodology for assessing the robustness of the results. In this example, we find that (i) there is not one estimator that outperforms the others in all three settings, and (ii) that systematic simulation studies can be helpful for selecting among competing methods .