Kernel regression in empirical microeconomics

We consider the implementation of Kernel methods in empirical microeconomics with specific application to Engel curve estimation in the analysis of consumer behavior. A set of recently developed rests for the parametric null hypothesis against a nonparametric alternative are discussed and implemented for the Engel curve application. We also consider semi-parametric estimation in partially linear models and the case of endogenous regressors. Gauss-based software is available for each technique implemented in the paper.