limited to a specific distributional assumption and allows for straight-forward likelihood-based estimation and inference. We …

asymptotic linear expansions with nearly optimal rates. Second, we study the higher-order bias of exact quantile estimators up to … O (1/n). Using a novel non-smooth calculus technique, we uncover previously unknown non-negligible bias components that … cannot be consistently estimated and depend on the employed estimation algorithm. To circumvent this problem, we propose a …

parameter without compromising the estimation of the remaining parameters of the model. An empirical illustration of our maximum …