plotDistOverTime

Plot distribution of treatment effects over time

internal

The method of synthetic controls is a widely-adopted tool for evaluating causal effects of policy changes in settings with observational data. In many settings where it is applicable, researchers want to identify causal effects of policy changes on a treated unit at an aggregate level while having access to data at a finer granularity. This package implements a simple extension of the synthetic controls estimator, developed in Gunsilius (2023) <doi:10.3982/ECTA18260>, that takes advantage of this additional structure and provides nonparametric estimates of the heterogeneity within the aggregate unit. The idea is to replicate the quantile function associated with the treated unit by a weighted average of quantile functions of the control units. The package contains tools for aggregating and plotting the resulting distributional estimates, as well as for carrying out inference on them.

David Van Dijcke

DiSCos

Distributional Synthetic Controls Estimation

Florian Gunsilius

Siyun He

plotDistOverTime function

<dl><dt>cdf_centered</dt>
<dd>list of centered distributional statistics</dd>
<dt>grid_cdf</dt>
<dd>grid</dd>
<dt>t_start</dt>
<dd>start time</dd>
<dt>t_max</dt>
<dd>maximum time</dd>
<dt>CI</dt>
<dd>logical indicating whether to plot confidence intervals</dd>
<dt>ci_lower</dt>
<dd>lower confidence interval</dd>
<dt>ci_upper</dt>
<dd>upper confidence interval</dd>
<dt>ylim</dt>
<dd>y limits</dd>
<dt>xlim</dt>
<dd>x limits</dd>
<dt>cdf</dt>
<dd>logical indicating whether to plot CDF or quantile difference</dd>
<dt>xlab</dt>
<dd>x label</dd>
<dt>ylab</dt>
<dd>y label</dd>
<dt>obsLine</dt>
<dd>optional additional line to plot. Default is NULL which means no line is plotted.</dd>
<dt>savePlots</dt>
<dd>logical indicating whether to save plots</dd>
<dt>plotName</dt>
<dd>name of plot to save</dd>
<dt>lty</dt>
<dd>line type for the main line passed as cdf_centered</dd>
<dt>lty_obs</dt>
<dd>line type for the optional additional line passed as obsLine</dd>
<dt>t_plot</dt>
<dd>optional vector of times to plot. Default is NULL which means all times are plotted.</dd></dl>

Arguments

Plot distribution of treatment effects over time — plotDistOverTime

<dl>

<dt>cdf_centered</dt>
<dd>list of centered distributional statistics</dd>


<dt>grid_cdf</dt>
<dd>grid</dd>


<dt>t_start</dt>
<dd>start time</dd>


<dt>t_max</dt>
<dd>maximum time</dd>


<dt>CI</dt>
<dd>logical indicating whether to plot confidence intervals</dd>


<dt>ci_lower</dt>
<dd>lower confidence interval</dd>


<dt>ci_upper</dt>
<dd>upper confidence interval</dd>


<dt>ylim</dt>
<dd>y limits</dd>


<dt>xlim</dt>
<dd>x limits</dd>


<dt>cdf</dt>
<dd>logical indicating whether to plot CDF or quantile difference</dd>


<dt>xlab</dt>
<dd>x label</dd>


<dt>ylab</dt>
<dd>y label</dd>


<dt>obsLine</dt>
<dd>optional additional line to plot. Default is NULL which means no line is plotted.</dd>


<dt>savePlots</dt>
<dd>logical indicating whether to save plots</dd>


<dt>plotName</dt>
<dd>name of plot to save</dd>


<dt>lty</dt>
<dd>line type for the main line passed as cdf_centered</dd>


<dt>lty_obs</dt>
<dd>line type for the optional additional line passed as obsLine</dd>


<dt>t_plot</dt>
<dd>optional vector of times to plot. Default is NULL which means all times are plotted.</dd>

</dl>

plotDistOverTime: Plot distribution of treatment effects over time

Description

Usage

Value

Arguments