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qte  

Quantile Treatment Effects
View on CRAN: Click here


Download and install qte package within the R console
Install from CRAN:
install.packages("qte")

Install from Github:
library("remotes")
install_github("cran/qte")

Install by package version:
library("remotes")
install_version("qte", "1.3.1")



Attach the package and use:
library("qte")
Maintained by
Brantly Callaway
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-05-01
Latest Update: 2022-09-01
Description:
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 (2019) , Callaway, Li, and Oka (2018) ).
How to cite:
Brantly Callaway (2015). qte: Quantile Treatment Effects. R package version 1.3.1, https://cran.r-project.org/web/packages/qte. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0.1 (2015-05-01 16:09), 1.2.0 (2017-06-19 15:56), 1.2.1 (2018-02-26 23:04), 1.2.2 (2018-04-30 17:33), 1.3.0 (2019-06-10 07:30)
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Complete documentation for qte
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