setupData

<code>setupData</code> extracts treated/untreated subsets, ECDFs,
and auxiliary vectors from a <code>QTEparams</code> object and injects them
into the caller's environment via <code>assign(..., envir=parent.frame())</code>.
This side-effectful pattern is intentional — all <code>compute.*</code> functions
rely on the variables created here being available in their local scope.

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 covariates (selection on
observables) using the methods of Firpo (2007)
<doi:10.1111/j.1468-0262.2007.00738.x>, and (iii) identification is based
on a Difference in Differences assumption, with support for several
varieties including Athey and Imbens (2006)
<doi:10.1111/j.1468-0262.2006.00668.x>, Callaway and Li (2019)
<doi:10.3982/QE935>, and Callaway, Li, and Oka (2018)
<doi:10.1016/j.jeconom.2018.06.008>. Version 2.0 adds a unified staggered
treatment adoption API (built on 'ptetools') for all DiD-based estimators,
as well as a new lagged-outcome unconfoundedness estimator ('lou_qtt').

Brantly Callaway

Quantile Treatment Effects

setupData function

<dl><dt>qteParams</dt>
<dd>A <code>QTEparams</code> object holding the function parameters.</dd></dl>

Arguments

setupData — setupData

<dl>

<dt>qteParams</dt>
<dd>A <code>QTEparams</code> object holding the function parameters.</dd>

</dl>

setupData: setupData

Description

Usage

Value

Arguments