print.aggTrees

Prints an <code>aggTrees</code> object.

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

print.aggTrees function

<dl><dt>x</dt>
<dd><code>aggTrees</code> object.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Author

Print Method for aggTrees Objects — print.aggTrees

<dl>

<dt>x</dt>
<dd><code>aggTrees</code> object.</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

print.aggTrees: Print Method for aggTrees Objects

Description

Usage

Value

Arguments

Author

References

See Also