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dc.contributor.authorStoll, Heather
dc.contributor.authorKing, Gary
dc.contributor.authorZeng, Langche
dc.date.accessioned2009-12-16T20:28:09Z
dc.date.issued2005
dc.identifier.citationStoll, Heather, Gary King, and Langche Zeng. 2005. WhatIF: R software for evaluating counterfactuals. Journal of Statistical Software 15(4).en_US
dc.identifier.issn1548-7660en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:3445051
dc.description.abstractWhatIf is an R package that implements the methods for evaluating counterfactuals introduced in King and Zeng (2006a) and King and Zeng (2006b). It offers easy-to-use techniques for assessing a counterfactual's model dependence without having to conduct sensitivity testing over specified classes of models. These same methods can be used to approximate the common support of the treatment and control groups in causal inference.en_US
dc.description.sponsorshipGovernmenten_US
dc.language.isoen_USen_US
dc.publisherAmerican Statistical Associationen_US
dc.relation.isversionofhttp://www.jstatsoft.org/v15/i04en_US
dash.licenseOAP
dc.subjectcounterfactualsen_US
dc.subjectcausal inferenceen_US
dc.subjectmodel dependenceen_US
dc.subjectcommon supporten_US
dc.subjectsensitivity analysisen_US
dc.titleWhatIF: R Software for Evaluating Counterfactualsen_US
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden_US
dc.relation.journalJournal of Statistical Softwareen_US
dash.depositing.authorKing, Gary
dc.date.available2009-12-16T20:28:09Z
dash.identifier.orcid0000-0002-5327-7631*
dash.contributor.affiliatedKing, Gary
dc.identifier.orcid0000-0002-5327-7631


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