Robust data-driven statistical inference in
Regression-Discontinuity designs
Description
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
rdbinselect to conduct exploratory data analysis (RD plots).