nonparametric estimator that is unbiased over the randomization distribution and derive its finite population limiting distribution …

estimation problem. More specifically, we derive the optimal rate for nonparametric point estimation of, and bounds for, the … for the nonparametric estimator that achieve that rate and derive the asymptotic distribution for a regularized estimator … expected revenue, are irregularly identified when bidding data are incomplete. We also give rates for nonparametric estimation …

nonparametric model of a triangular system. The paper derives a necessary and sufficient rank condition for identification, based on … which weak identification is established. Then nonparametric weak instruments are defined as a sequence of reduced …

error by proportions, standard estimators are inconsistent. We model this problem as a nonparametric binomial mixture. Under …

. Provided that the (nonparametric) data combination procedure can only be defined in finite samples, we introduce a new notion …