CRAN/E | qte

qte

Quantile Treatment Effects

Installation

About

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).

Key Metrics

Version 1.3.1
R ≥ 3.5
Published 2022-09-01 769 days ago
Needs compilation? no
License GPL-2
CRAN checks qte results

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Maintainer

Maintainer

Brantly Callaway

Authors

Brantly Callaway

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Quantile Treatment Effects in R: The qte Package
ddid2
panel.qtet

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Old Sources

qte archive

Depends

R ≥ 3.5

Imports

Hmisc
parallel
quantreg
BMisc
formula.tools
ggplot2
texreg
pbapply
data.table

Suggests

rmarkdown
knitr
msm