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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).
| Version: | 2.2 |
| Depends: | R (≥ 3.1.1) |
| Imports: | ggplot2, MASS |
| Published: | 2023-11-03 |
| DOI: | 10.32614/CRAN.package.rdrobust |
| Author: | Sebastian Calonico, Matias D. Cattaneo, Max H. Farrell, Rocio Titiunik |
| Maintainer: | Sebastian Calonico <sebastian.calonico at columbia.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | CausalInference, Econometrics |
| CRAN checks: | rdrobust results |
| Reference manual: | rdrobust.pdf |
| Package source: | rdrobust_2.2.tar.gz |
| Windows binaries: | r-devel: rdrobust_2.2.zip, r-release: rdrobust_2.2.zip, r-oldrel: rdrobust_2.2.zip |
| macOS binaries: | r-release (arm64): rdrobust_2.2.tgz, r-oldrel (arm64): rdrobust_2.2.tgz, r-release (x86_64): rdrobust_2.2.tgz, r-oldrel (x86_64): rdrobust_2.2.tgz |
| Old sources: | rdrobust archive |
| Reverse imports: | rddtools, rdmulti, rdpower, SpatialRDD |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.