Counterfactual: An R Package for Counterfactual Analysis
Name
RJ-2017-033.pdf
Description
Published version
Size
213.04 KB
Format
Adobe PDF
Checksum (MD5)
746fb2b5ea80195d6b40841f76a0cf40
Author(s)
Chen, Mingli
Chernozhukov, Victor V
Fernández-Val, Iván
Melly, Blaise
Date Issued
June 2017
Journal
R Journal
Publisher
The R Foundation
Citation
Chen, Mingli et al. "Counterfactual: An R Package forCounterfactual Analysis." The R Journal 9 (June 2017): 370-384 © 2017 Publisher
Version
Final published version
Abstract
The Counterfactual package implements the estimation and inference methods of Chernozhukov et al. (2013) for counterfactual analysis. The counterfactual distributions considered are the result of changing either the marginal distribution of covariates related to the outcome variable of interest, or the conditional distribution of the outcome given the covariates. They can be applied to estimate quantile treatment effects and wage decompositions. This paper serves as an introduction to the package and displays basic functionality of the commands contained within.
MIT Department
Massachusetts Institute of Technology. Department of Economics
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.32614/rj-2017-033
