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

In this paper, the regression discontinuity design (RDD) is generalized to account for differences in observed …-dimensional nonparametric regression irrespective of the dimension of X. It thus extends the analysis of Hahn, Todd, and van der Klaauw (2001 …) is also considered. -- Treatment effect ; causal effect ; complier ; LATE ; nonparametric regression ; endogeneity …

-convolution kernel estimator for the location and size of regression discontinuities. We also propose a bootstrapping procedure for …

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

characterize a broad class of models in which a sharp "Regression Kink Design" (RKD, or RK Design) identifies a readily … interpretable treatment-on-the-treated parameter (Florens et al. (2008)). We also introduce a "fuzzy regression kink design … restrictions delivered by Lee (2008) for the regression discontinuity design. We then use a fuzzy RKD approach to study the effect …

regression. In effect, we merge duration analysis and discontinuity analysis. We use the introduction of the NDYP program for …

In this paper, we employ a partially linear nonparametric additive regression estimator, with recent U.S. Current …

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

When the running variable in a regression discontinuity (RD) design is measured with error, identification of the local …