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dc.contributor.authorde Luna, Xavieren_US
dc.contributor.authorLundin, Mathiasen_US
dc.date.accessioned2010-02-22en_US
dc.date.accessioned2011-05-27T09:29:08Z-
dc.date.available2011-05-27T09:29:08Z-
dc.date.issued2009en_US
dc.identifier.urihttp://hdl.handle.net/10419/45723-
dc.description.abstractIn observational studies, the estimation of a treatment effect on an outcome of interest is often done by controlling on a set of pre-treatment characteristics (covariates). This yields an unbiased estimator of the treatment effect when the assumption of unconfoundedness holds, that is, there are no unobserved covariates affecting both the treatment assignment and the outcome. This is in general not realistically testable. It is, therefore, important to conduct an analysis about how sensitive the inference is with respect to the unconfoundedness assumption. In this paper we propose a procedure to conduct such a Bayesian sensitivity analysis, where the usual parameter uncertainty and the uncertainty due to the unconfoundedness assumption can be compared. To measure departures from the assumption we use a correlation coefficient which is intuitively comprehensible and ensures that the results of sensitivity analyses made on different evaluation studies are comparable. Our procedure is applied to the Lalonde data and to a study of the effect of college choice on income in Sweden.en_US
dc.language.isoengen_US
dc.publisherInst. for Labour Market Policy Evaluation Uppsalaen_US
dc.relation.ispartofseriesWorking paper // IFAU - Institute for Labour Market Policy Evaluation 2009:12en_US
dc.subject.jelC11en_US
dc.subject.jelC15en_US
dc.subject.ddc330en_US
dc.subject.keywordCausal infererenceen_US
dc.subject.keywordeffects of college choiceen_US
dc.subject.keywordpropensity scoreen_US
dc.subject.keywordregister dataen_US
dc.subject.stwSensitivitätsanalyseen_US
dc.subject.stwBayes-Statistiken_US
dc.subject.stwStatistische Methodenlehreen_US
dc.subject.stwBildungsertragen_US
dc.subject.stwSchwedenen_US
dc.titleSensitivity analysis of the unconfoundedness assumption in observational studiesen_US
dc.typeWorking Paperen_US
dc.identifier.ppn601470435en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
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