print.UnDiDObj

Print method for <code>UnDiDObj</code>

A framework for estimating difference-in-differences with
unpoolable data, based on Karim, Webb, Austin, and Strumpf (2025)
<doi:10.48550/arXiv.2403.15910>. Supports common or staggered adoption, multiple
groups, and the inclusion of covariates. Also computes p-values for the
aggregate average treatment effect on the treated via the
randomization inference procedure described in MacKinnon and Webb (2020)
<doi:10.1016/j.jeconom.2020.04.024>.

Eric Jamieson

undidR

Difference-in-Differences with Unpoolable Data

print.UnDiDObj function

<dl><dt>x</dt>
<dd>A <code>UnDiDObj</code> object.</dd>
<dt>level</dt>
<dd>Specify either <code>"agg"</code> or <code>"sub"</code> to view the aggregate
or sub-aggregate results.</dd>
<dt>...</dt>
<dd>other arguments</dd></dl>

Arguments

Print method for UnDiDObj — print.UnDiDObj

<dl>

<dt>x</dt>
<dd>A <code>UnDiDObj</code> object.</dd>


<dt>level</dt>
<dd>Specify either <code>"agg"</code> or <code>"sub"</code> to view the aggregate
or sub-aggregate results.</dd>


<dt>...</dt>
<dd>other arguments</dd>

</dl>

print.UnDiDObj: Print method for `UnDiDObj`

Description

Usage

Arguments