rdrobust v0.99.4

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Robust Data-Driven Statistical Inference in Regression-Discontinuity Designs

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).

Functions in rdrobust

 Name Description rdbwselect Bandwidth Selection Procedures for Local Polynomial Regression Discontinuity Estimators rdbwselect_2014 Deprecated Bandwidth Selection Procedures for Local-Polynomial Regression-Discontinuity Estimators. rdrobust Local-Polynomial RD Estimation with Robust Confidence Intervals rdrobust_RDsenate RD Senate Data rdplot Data-Driven Regression Discontinuity Plots rdrobust-package Robust Data-Driven Statistical Inference in RD Designs No Results!