ggqte

Makes somewhat nicer plots of quantile treatment effects
by using ggplot

Provides several methods for computing the Quantile Treatment Effect (QTE) and Quantile Treatment Effect on the Treated (QTT). The main cases covered are (i) Treatment is randomly assigned, (ii) Treatment is as good as randomly assigned after conditioning on some covariates (also called conditional independence or selection on observables) using the methods developed in Firpo (2007) <doi:10.1111/j.1468-0262.2007.00738.x>, (iii) Identification is based on a Difference in Differences assumption (several varieties are available in the package e.g. Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> Callaway and Li (2019) <doi:10.3982/QE935>, Callaway, Li, and Oka (2018) <doi:10.1016/j.jeconom.2018.06.008>).

Brantly Callaway

Quantile Treatment Effects

ggqte function

<dl><dt>qteobj</dt>
<dd>a QTE object</dd>
<dt>main</dt>
<dd>optional title</dd>
<dt>ylab</dt>
<dd>optional y axis label</dd>
<dt>ylim</dt>
<dd>optional limits of y axis</dd>
<dt>ybreaks</dt>
<dd>optional breaks in y axis</dd>
<dt>xbreaks</dt>
<dd>optional breaks in x axis</dd>
<dt>setype</dt>
<dd>options are "pointwise", "uniform" or both; pointwise confidence
intervals cover the QTE at each particular point with a fixed probability,
uniform confidence bands cover the entire curve with a fixed
probability. Uniform confidence bands will tend to be wider. The option
"both" will plot both types of confidence intervals</dd></dl>

Arguments

ggqte — ggqte

<dl>

<dt>qteobj</dt>
<dd>a QTE object</dd>


<dt>main</dt>
<dd>optional title</dd>


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


<dt>ylim</dt>
<dd>optional limits of y axis</dd>


<dt>ybreaks</dt>
<dd>optional breaks in y axis</dd>


<dt>xbreaks</dt>
<dd>optional breaks in x axis</dd>


<dt>setype</dt>
<dd>options are "pointwise", "uniform" or both; pointwise confidence
intervals cover the QTE at each particular point with a fixed probability,
uniform confidence bands cover the entire curve with a fixed
probability. Uniform confidence bands will tend to be wider. The option
"both" will plot both types of confidence intervals</dd>

</dl>

ggqte: ggqte

Description

Usage

Value

Arguments