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dc.contributor.authorChen, Minglien_US
dc.contributor.authorChernozhukov, Victoren_US
dc.contributor.authorFernández-Val, Ivánen_US
dc.contributor.authorMelly, Blaiseen_US
dc.date.accessioned2018-08-28T20:06:45Z
dc.date.available2018-08-28T20:06:45Z
dc.date.issued2017
dc.identifier.citationMingli Chen, Victor Chernozhukov, Iván Fernández-Val and Blaise Melly. "Counterfactual: An R Package for Counterfactual Analysis." The R Journal (2017) 9:1, pages 370-384.
dc.identifier.issn2073-4859
dc.identifier.urihttps://hdl.handle.net/2144/30924
dc.description.abstractThe 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.en_US
dc.description.urihttps://arxiv.org/abs/1610.07894
dc.publisherThe R Foundation for Statistical Computingen_US
dc.relation.ispartofThe R Journal
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International license.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectStatisticsen_US
dc.subjectR packagesen_US
dc.subjectCounterfactual analysisen_US
dc.titleCounterfactual: an R package for counterfactual analysisen_US
dc.typeArticleen_US
dc.description.versionPublished and Accepted manuscript versions.en_US
pubs.elements-sourcemanual-entryen_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Economicsen_US
pubs.publication-statusPublisheden_US


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