Since the late 90s, Regression Discontinuity (RD) designs have been widely used to estimate Local Average Treatment …

In this article we overview nonparametric (spline and kernel) regression methods and illustrate how they may be used in …

This paper proposes new ℓ1-penalized quantile regression estimators for panel data, which explicitly allows for …

Economic conditions such as convexity, homogeneity, homotheticity, and monotonicity are all important assumptions or … constraints in nonparametric regression. We survey the available methods in the literature, discuss the challenges that present … reader and simulated and empirical evidence on the distinction between constrained and unconstrained nonparametric regression …

This paper shows nonparametric identification of quantile treatment effects (QTE) in the regression discontinuity …-dimensional nonparametric regression. We apply the proposed estimators to estimate the effects of summer school on the distribution of school …

This note argues that nonparametric regression not only relaxes functional form assumptions vis-a-vis parametric … regression, but that it also permits endogenous control variables. To control for selection bias or to make an exclusion … restriction in instrumental variables regression valid, additional control variables are often added to a regression. If any of …