normalized_diff

Computes a measure of the difference between locations of the covariate distributions
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

normalized_diff function

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

Arguments

Normalized Differences — normalized_diff

<dl>

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


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

</dl>

normalized_diff: Normalized Differences

Description

Usage

Value

Arguments

Details