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dc.contributor.authorKluve, Jochenen_US
dc.date.accessioned2009-01-28T16:20:25Z-
dc.date.available2009-01-28T16:20:25Z-
dc.date.issued2001en_US
dc.identifier.urihttp://hdl.handle.net/10419/21213-
dc.description.abstractCausal inference in the empirical sciences is based on counterfactuals. This paper presents the counterfactual account of causation in terms of Lewis's possible-world semantics, and reformulates the statistical potential outcome framework and its underlying assumptions using counterfactual conditionals. I discuss varieties of causally meaningful counterfactuals for the case of a finite number of treatments, and illustrate these using a simple settheoretical framework. The paper proceeds to examine proximity relations between possible worlds, and discusses implications for empirical practice.en_US
dc.language.isoengen_US
dc.publisheren_US
dc.relation.ispartofseriesIZA Discussion paper series 354en_US
dc.subject.jelB30en_US
dc.subject.jelC19en_US
dc.subject.jelZ00en_US
dc.subject.ddc330en_US
dc.subject.keywordCausationen_US
dc.subject.keywordcounterfactualsen_US
dc.subject.keywordpossible worldsen_US
dc.subject.keywordtreatment effecten_US
dc.subject.stwEmpirische Methodeen_US
dc.subject.stwKausalanalyseen_US
dc.subject.stwTheorieen_US
dc.subject.stwKontrafaktische Situationen_US
dc.subject.stwtreatment effecten_US
dc.titleOn the Role of Counterfactuals in Inferring Causal Effects of Treatmentsen_US
dc.typeWorking Paperen_US
dc.identifier.ppn339079312en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
Appears in Collections:IZA Discussion Papers, Forschungsinstitut zur Zukunft der Arbeit (IZA)

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