rdrobust
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).
- Version2.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release11/03/2023
Documentation
Team
Sebastian Calonico
Matias D. Cattaneo
Max H. Farrell
Rocio Titiunik
Insights
Last 30 days
This package has been downloaded 2,145 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 58 times.
Last 365 days
This package has been downloaded 43,345 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Jan 24, 2024 with 383 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages
- Reverse Imports4 packages