descriptive_arm

Computes sample averages and standard deviations of the covariates across treatment arms.

internal

Nonparametric data-driven approach to discovering heterogeneous subgroups in a selection-on-observables framework.
'aggTrees' allows researchers to assess whether there exists relevant heterogeneity in treatment effects by generating a sequence of optimal groupings,
one for each level of granularity. For each grouping, we obtain point estimation and inference about the group average treatment effects.
Please reference the use as Di Francesco (2022) <doi:10.2139/ssrn.4304256>.

Riccardo Di Francesco

aggTrees

Aggregation Trees

descriptive_arm function

<dl><dt>X</dt>
<dd>Covariate matrix (no intercept).</dd>
<dt>D</dt>
<dd>Treatment assignment vector.</dd></dl>

Arguments

Descriptive Statistics by Treatment Arm — descriptive_arm

<dl>

<dt>X</dt>
<dd>Covariate matrix (no intercept).</dd>


<dt>D</dt>
<dd>Treatment assignment vector.</dd>

</dl>

descriptive_arm: Descriptive Statistics by Treatment Arm

Description

Usage

Value

Arguments