bcallaway11/qte: Quantile Treatment Effects
Version 1.2.2

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) , (iii) Identification is based on a Difference in Differences assumption (several varieties are available in the package e.g. Athey and Imbens (2006) Callaway and Li (2017) , Callaway, Li, and Oka (2017) ).

Getting started

Package details

Maintainer
LicenseGPL-2
Version1.2.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("bcallaway11/qte")
bcallaway11/qte documentation built on April 30, 2018, 11:25 p.m.