Regression-discontinuity (RD) designs are quasi-experimental research designs popular in social, behavioral and natural sciences. The RD design is usually employed to study the (local) causal effect of a treatment, intervention or policy. This package provides tools for data-driven graphical and analytical statistical inference in RD designs: rdrobust() to construct local-polynomial point estimators and robust confidence intervals for average treatment effects at the cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect() to perform bandwidth selection for the different procedures implemented, and rdplot() to conduct exploratory data analysis (RD plots).
|Author||Sebastian Calonico <firstname.lastname@example.org>, Matias D. Cattaneo <email@example.com>, Max H. Farrell, <firstname.lastname@example.org>, Rocio Titiunik <email@example.com>|
|Date of publication||2016-12-13 19:54:58|
|Maintainer||Sebastian Calonico <firstname.lastname@example.org>|
rdbwselect: Bandwidth Selection Procedures for Local Polynomial...
rdbwselect_2014: Deprecated Bandwidth Selection Procedures for...
rdplot: Data-Driven Regression Discontinuity Plots
rdrobust: Local-Polynomial RD Estimation with Robust Confidence...
rdrobust-internal: Package Internal Functions
rdrobust-package: Robust Data-Driven Statistical Inference in RD Designs
rdrobust_RDsenate: RD Senate Data