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
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Type Package
Date 2018-09-25
License GPL-2
Packaged 2018-09-25 20:42:33 UTC; SCalonico
NeedsCompilation no
Repository CRAN
Date/Publication 2018-09-26 22:00:03 UTC

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