finite. I then propose a nonparametric estimator that is consistent as the number of proxies increases with the sample size …

) semiparametric binary response model. …

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

There are many economic parameters that depend on nonparametric first steps. Examples include games, dynamic discrete … nonparametric first steps. We give explicit influence functions for first steps that satisfy exogenous or endogenous orthogonality … estimates in a gasoline demand application.There are many economic parameters that depend on nonparametric first steps. Examples …

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

of interest. We also note that the data combination procedure is essential in a semiparametric setting such as ours …. Provided that the (nonparametric) data combination procedure can only be defined in finite samples, we introduce a new notion …

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 …