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rdhte

Heterogeneous Treatment Effects in Regression Discontinuity Designs

v0.1.0 · Jul 18, 2025 · GPL-3

Description

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.

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies rdrobust sandwich multcomp rdhte

Version History

new 0.1.0 Mar 10, 2026
updated 0.1.0 ← 0.0.2 diff Jul 17, 2025
updated 0.0.2 ← 0.0.1 diff Apr 3, 2025
new 0.0.1 Mar 24, 2025