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.

Package details

AuthorSebastian Calonico [aut, cre], Matias D. Cattaneo [aut], Max H. Farrell [aut], Filippo Palomba [aut], Rocio Titiunik [aut]
MaintainerSebastian Calonico <scalonico@ucdavis.edu>
LicenseGPL-2
Version0.0.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rdhte")

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rdhte documentation built on April 12, 2025, 1:49 a.m.