compute.QDiD

<code>compute.QDiD</code> computes the Quantile Difference in
Differences estimator

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

compute.QDiD function

<dl><dt>qp</dt>
<dd>QTEparams object containing the parameters passed to QDiD</dd></dl>

Arguments

Quantile Difference in Differences — compute.QDiD

<dl>

<dt>qp</dt>
<dd>QTEparams object containing the parameters passed to QDiD</dd>

</dl>

compute.QDiD: Quantile Difference in Differences

Description

Usage

Value

Arguments