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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); 'rdbwhte', which implements automatic bandwidth selection methods; and 'rdhte_lincom' to test linear combinations of parameters.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 rdhte_0.1.0.tar.gz 83.0 KiB
0.1.0 rolling linux/noble R-4.5 rdhte_0.1.0.tar.gz 82.9 KiB
0.1.0 rolling source/ R- rdhte_0.1.0.tar.gz 25.1 KiB
0.1.0 latest linux/jammy R-4.5 rdhte_0.1.0.tar.gz 83.0 KiB
0.1.0 latest linux/noble R-4.5 rdhte_0.1.0.tar.gz 82.9 KiB
0.1.0 latest source/ R- rdhte_0.1.0.tar.gz 25.1 KiB
0.1.0 2026-04-26 source/ R- rdhte_0.1.0.tar.gz 25.1 KiB
0.1.0 2026-04-23 source/ R- rdhte_0.1.0.tar.gz 25.1 KiB
0.1.0 2026-04-09 windows/windows R-4.5 rdhte_0.1.0.zip 86.0 KiB
0.0.2 2025-04-20 source/ R- rdhte_0.0.2.tar.gz 7.5 KiB

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