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dc.contributor.authorKluve, Jochenen
dc.date.accessioned2009-01-28T16:20:25Z-
dc.date.available2009-01-28T16:20:25Z-
dc.date.issued2001-
dc.identifier.urihttp://hdl.handle.net/10419/21213-
dc.description.abstractCausal inference in the empirical sciences is based on counterfactuals. This paper presentsthe counterfactual account of causation in terms of Lewis's possible-world semantics, andreformulates the statistical potential outcome framework and its underlying assumptionsusing counterfactual conditionals. I discuss varieties of causally meaningful counterfactualsfor the case of a finite number of treatments, and illustrate these using a simple settheoreticalframework. The paper proceeds to examine proximity relations between possibleworlds, and discusses implications for empirical practice.en
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x354en
dc.subject.jelB30en
dc.subject.jelC19en
dc.subject.jelZ00en
dc.subject.ddc330en
dc.subject.keywordCausationen
dc.subject.keywordcounterfactualsen
dc.subject.keywordpossible worldsen
dc.subject.keywordtreatment effecten
dc.subject.stwEmpirische Methodeen
dc.subject.stwKausalanalyseen
dc.subject.stwTheorieen
dc.subject.stwKontrafaktische Situationen
dc.subject.stwtreatment effecten
dc.titleOn the Role of Counterfactuals in Inferring Causal Effects of Treatments-
dc.typeWorking Paperen
dc.identifier.ppn844111775en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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