This paper considers nonparametric kernel estimation of models with generated regressors and derives the asymptotic distribution of the resulting estimators. It is also shown how generated regressors may be used to reduce the dimensionality of certain nonparametric models. A labor supply...

Nonparametric estimators are frequently criticized for their poor performance in small samples. In this paper, the author considers using kernel methods for the estimation of the expected derivatives of a regression function. The proposed estimators are shown to be asymptotically normal and...