rdhte-package: rdhte: RD Heterogeneous Treatment Effects Estimation and...

In rdhte: Heterogeneous Treatment Effects in Regression Discontinuity Designs

rdhte: RD Heterogeneous Treatment Effects Estimation and Inference

Description

Building on the recent developments in Calonico, Cattaneo, Farrell, Palomba, and Titiunik (2025), this package implements estimation and inference of heterogeneous treatment effects in RD designs. The package includes two main commands: rdhte conduct estimation and robust bias-corrected inference for conditional RD treatment effects, for a given choice of bandwidth parameter; and rdbwhte implements automatic bandwidth selection methods. We illustrate the methods implemented in the package rdhte using a canonical empirical application. We also demonstrate how the package rdhte complements, and in very specific cases recovers, the methods available in the packages rdrobust (Calonico, Cattaneo, Farrell, Titiunik (2017) and rdmulti, Cattaneo, Titiunik, VazquezBare (2020).

Commands: rdhte for estimation and inference. rdbwhte for data-driven bandwidth selection.

Related Stata and R packages useful for inference in regression discontinuity (RD) designs are described in the website: https://rdpackages.github.io/.

Author(s)

Sebastian Calonico, University of California, Davis [e-mail].

Matias D. Cattaneo, Princeton University [e-mail].

Max H. Farrell, University of California, Santa Barbara [e-mail].

Filippo Palomba, Princeton University [e-mail].

Rocio Titiunik, Princeton University [e-mail].

References

Calonico, Cattaneo, Farrell, Palomba and Titiunik (2025): rdhte: Learning Conditional Average Treatment Effects in RD Designs. Working paper.

Calonico, Cattaneo, Farrell, Palomba and Titiunik (2025): Treatment Effect Heterogeneity in Regression Discontinuity Designs. Working paper

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