bootiter

<code>bootiter</code> that computes a single bootstrap iteration

internal

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

bootiter function

<dl><dt>i</dt>
<dd>the bootstrap iteration, this is not used except for calling
by apply-type methods</dd>
<dt>qteparams</dt>
<dd>QTEparams object containing the parameters passed to ciqte</dd>
<dt>func</dt>
<dd>the internal function that computes estimates of the qte,
should be the same as what was used to produce qteest</dd></dl>

Arguments

bootiter — bootiter

<dl>

<dt>i</dt>
<dd>the bootstrap iteration, this is not used except for calling
by apply-type methods</dd>


<dt>qteparams</dt>
<dd>QTEparams object containing the parameters passed to ciqte</dd>


<dt>func</dt>
<dd>the internal function that computes estimates of the qte,
should be the same as what was used to produce qteest</dd>

</dl>

bootiter: bootiter

Description

Usage

Value

Arguments