Counterfactual analysis in R: a vignette

Mingli Chen, Victor Chernozhukov, Ivan Fernandez-Val () and Blaise Melly ()

No CWP64/17, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies

Abstract: The R package Counterfactual 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 vignette serves as an introduction to the package and displays basic functionality of the commands contained within.

Date: 2017-12-30
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Working Paper: Counterfactual analysis in R: a vignette (2017)
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