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dc.contributor.authorChen, Mingli
dc.contributor.authorChernozhukov, Victor V
dc.contributor.authorFernández-Val, Iván
dc.contributor.authorMelly, Blaise
dc.date.accessioned2019-11-07T17:01:39Z
dc.date.available2019-11-07T17:01:39Z
dc.date.issued2017-06
dc.date.submitted2016-09
dc.identifier.issn2073-4859
dc.identifier.urihttps://hdl.handle.net/1721.1/122790
dc.description.abstractThe 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.en_US
dc.language.isoen
dc.publisherThe R Foundationen_US
dc.relation.isversionofhttp://dx.doi.org/10.32614/rj-2017-033en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceThe R Journalen_US
dc.titleCounterfactual: An R Package for Counterfactual Analysisen_US
dc.typeArticleen_US
dc.identifier.citationChen, Mingli et al. "Counterfactual: An R Package forCounterfactual Analysis." The R Journal 9 (June 2017): 370-384 © 2017 Publisheren_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Economicsen_US
dc.relation.journalR Journalen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-10-21T17:21:31Z
dspace.date.submission2019-10-21T17:21:33Z
mit.journal.volume9en_US
mit.journal.issue1en_US


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