rdrobust: An R Package for Robust Nonparametric Inference in Regression-Discontinuity Designs

Authors

Sebastian Calonico, University of Miami
Matias D. Cattaneo, University of Michigan Ann Arbor
Rocío Titiunik, University of Michigan Ann Arbor

Date of this Version

6-2015

Document Type

Article

Citation

The R Journal (June 2015) 7(1); Editor: Bettina Grün

Comments

Copyright 2015, The R Foundation. Open access material. License: CC BY 3.0 Unported

Abstract

This article describes the R package rdrobust, which provides data-driven graphical and in ference procedures for RD designs. The package includes three main functions: rdrobust, rdbwselect and rdplot. The first function (rdrobust) implements conventional local-polynomial RD treatment effect point estimators and confidence intervals, as well as robust bias-corrected confidence intervals, for average treatment effects at the cutoff. This function covers sharp RD, sharp kink RD, fuzzy RD and fuzzy kink RD designs, among other possibilities. The second function (rdbwselect) implements several bandwidth selectors proposed in the RD literature. The third function (rdplot) provides data-driven optimal choices of evenly-spaced and quantile-spaced partition sizes, which are used to implement several data-driven RD plots.