plot.UnDiDObj

Plot 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

plot.UnDiDObj function

<dl><dt>x</dt>
<dd>A <code>UnDiDObj</code> object</dd>
<dt>event</dt>
<dd>Logical. If <code>TRUE</code>, creates an event study plot. If
<code>FALSE</code> (default), creates a parallel trends plot.</dd>
<dt>event_window</dt>
<dd>Numeric vector of length 2 specifying the event window
as c(start, end). Default is <code>NULL</code> (use all available periods).</dd>
<dt>ci</dt>
<dd>Numeric between 0 and 1 specifying confidence level.
Default is 0.95.</dd>
<dt>...</dt>
<dd>other arguments passed to plot</dd></dl>

Arguments

Plot method for UnDiDObj — plot.UnDiDObj

<dl>

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


<dt>event</dt>
<dd>Logical. If <code>TRUE</code>, creates an event study plot. If
<code>FALSE</code> (default), creates a parallel trends plot.</dd>


<dt>event_window</dt>
<dd>Numeric vector of length 2 specifying the event window
as c(start, end). Default is <code>NULL</code> (use all available periods).</dd>


<dt>ci</dt>
<dd>Numeric between 0 and 1 specifying confidence level.
Default is 0.95.</dd>


<dt>...</dt>
<dd>other arguments passed to plot</dd>

</dl>

plot.UnDiDObj: Plot method for `UnDiDObj`

Description

Usage

Arguments