qtes2mat

Turn multiple qtes into a matrix for printing

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

qtes2mat function

<dl><dt>qteList</dt>
<dd>a list of qte objects</dd>
<dt>sset</dt>
<dd>subset of qtes to keep</dd>
<dt>se</dt>
<dd>whether or not to include standard errors in the resulting matrix</dd>
<dt>rnd</dt>
<dd>how many disgits to round to</dd></dl>

Arguments

qtes2mat — qtes2mat

<dl>

<dt>qteList</dt>
<dd>a list of qte objects</dd>


<dt>sset</dt>
<dd>subset of qtes to keep</dd>


<dt>se</dt>
<dd>whether or not to include standard errors in the resulting matrix</dd>


<dt>rnd</dt>
<dd>how many disgits to round to</dd>

</dl>

qtes2mat: qtes2mat

Description

Usage

Value

Arguments