getub

Helper function to compute the upper bound in bounds method.
It is usually called by vapply function

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

getub function

<dl><dt>s</dt>
<dd>A particular value of distribution for which to calculate the bound</dd>
<dt>F.change.treated</dt>
<dd>ecdf object of distribution of change in outcomes
for the treated group</dd>
<dt>F.treated.tmin1</dt>
<dd>ecdf object of distribution of outcomes in period
t-1 for the treated group</dd>
<dt>y</dt>
<dd>a vector of values that observations could take in the previous
period ?</dd></dl>

Arguments

getub — getub

<dl>

<dt>s</dt>
<dd>A particular value of distribution for which to calculate the bound</dd>


<dt>F.change.treated</dt>
<dd>ecdf object of distribution of change in outcomes
for the treated group</dd>


<dt>F.treated.tmin1</dt>
<dd>ecdf object of distribution of outcomes in period
t-1 for the treated group</dd>


<dt>y</dt>
<dd>a vector of values that observations could take in the previous
period ?</dd>

</dl>

getub: getub

Description

Usage

Arguments