rdhte: Heterogeneous Treatment Effects in Regression Discontinuity
Designs
Understanding heterogeneous causal effects based on pretreatment covariates is a crucial step in modern empirical work in data science. Building on the recent developments in Calonico et al (2025) <https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Palomba-Titiunik_2025_HTERD.pdf>, this package provides tools for estimation and inference of heterogeneous treatment effects in Regression Discontinuity (RD) Designs. The package includes two main commands: 'rdhte' to conduct estimation and robust bias-corrected inference for conditional RD treatment effects (given choice of bandwidth parameter); and 'rdbwhte', which implements automatic bandwidth selection methods.
| Version: |
0.0.1 |
| Imports: |
rdrobust, sandwich |
| Published: |
2025-03-25 |
| DOI: |
10.32614/CRAN.package.rdhte |
| Author: |
Sebastian Calonico [aut, cre],
Matias D. Cattaneo [aut],
Max H. Farrell [aut],
Filippo Palomba [aut],
Rocio Titiunik [aut] |
| Maintainer: |
Sebastian Calonico <scalonico at ucdavis.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
rdhte results |
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