Chen, Mingli, Chernozhukov, Victor, Fernández-Val, Iván and Melly, Blaise (2017) Counterfactual : an R package for counterfactual analysis. The R Journal, 9 (1). pp. 370-384.

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Abstract

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.

Item Type:	Journal Article
Subjects:	B Philosophy. Psychology. Religion > BC Logic Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Social Sciences > Economics
Library of Congress Subject Headings (LCSH):	Counterfactuals (Logic) -- Software, R (Computer program language)
Journal or Publication Title:	The R Journal
Publisher:	Technische Universitaet Wien * Institut fuer Statistik und Wahrscheinlichkeitstheorie
Official Date:	8 June 2017
Dates:	Date Event 8 June 2017 Published 15 September 2016 Accepted
Date of first compliant deposit:	24 January 2018
Volume:	9
Number:	1
Page Range:	pp. 370-384
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access

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