Before revision:  This modification leads to a generic and easy-to-implement resampling method for inference that is conceptually distinct from other available distributional approximations based on some form of modified bootstrap. We offer simulation evidence showcasing the performance of our inference method in finite samples. An extension of our methodology to general M-estimation problems is also discussed .
After revision:  This modification leads to a generic and easy-to-implement resampling method for inference that is conceptually distinct from other available distributional approximations . We illustrate the applicability of our core idea with six canonical examples in statistics, machine learning, econometrics, and biostatistics. Simulation evidence is also provided .