print.rdbwhte

internal

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.

Sebastian Calonico

rdhte

Heterogeneous Treatment Effects in Regression Discontinuity
Designs

Filippo Palomba

Rocio Titiunik

print.rdbwhte function

<dl><dt>x</dt>
<dd>Class <code>rdhte</code> objects.</dd></dl>

Arguments

Internal function. — print.rdbwhte

<dl>

<dt>x</dt>
<dd>Class <code>rdhte</code> objects.</dd>

</dl>

print.rdbwhte: Internal function.

Description

Usage

Value

Arguments