This thesis considers identification, estimation, and inference in nonparametric settings. Special attention is given to identification with instrumental variables of small support, and in time series via the ergodic assumption. Chapter 1 considers a nonparametric instrumental regression model in which the regressor and instrument are discretely distributed. Here, we strengthen...