Key points are not available for this paper at this time.
Asymptotically efficient (adaptive) estimators for the slope parameters of the linear regression model are constructed based upon the "regression quantile" statistics suggested by Koenker and Bassett. The estimators are natural analogues of the adaptive L-estimators of location of Sacks, but employ kernel-density type estimators of the optimal L-estimator weight function.
Portnoy et al. (Wed,) studied this question.