The Counterfactual package implements the estimation and inference methods of Cher nozhukov 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.
Counterfactual, quantreg, survival
Econometrics, SocialSciences, Survival, ClinicalTrials, Environmetrics, Optimization, ReproducibleResearch, Robust
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For attribution, please cite this work as
Chen, et al., "The R Journal: Counterfactual: An R Package for Counterfactual Analysis", The R Journal, 2017
BibTeX citation
@article{RJ-2017-033,
author = {Chen, Mingli and Chernozhukov, Victor and Fernández-Val, Iván and Melly, Blaise},
title = {The R Journal: Counterfactual: An R Package for Counterfactual Analysis},
journal = {The R Journal},
year = {2017},
note = {https://doi.org/10.32614/RJ-2017-033},
doi = {10.32614/RJ-2017-033},
volume = {9},
issue = {1},
issn = {2073-4859},
pages = {370-384}
}