Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/26023 
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dc.contributor.authorDoppelhofer, Gernoten
dc.contributor.authorWeeks, Melvynen
dc.date.accessioned2007-07-25-
dc.date.accessioned2009-07-28T08:14:59Z-
dc.date.available2009-07-28T08:14:59Z-
dc.date.issued2007-
dc.identifier.urihttp://hdl.handle.net/10419/26023-
dc.description.abstractThis paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model space, thereby taking model uncertainty into account. By looking beyond marginal measures of variable importance, jointness reveals generally unknown forms of dependence. Positive jointness implies that regressors are complements, representing distinct, but mutually reinforcing effects. Negative jointness implies that explanatory variables are substitutes and capture similar underlying effects. In a cross-country dataset we show that jointness among 67 determinants of growth is important, affecting inference and informing economic policy.en
dc.language.isoengen
dc.publisher|aCenter for Economic Studies and ifo Institute (CESifo) |cMunichen
dc.relation.ispartofseries|aCESifo Working Paper |x1978en
dc.subject.jelC11en
dc.subject.jelC52en
dc.subject.jelO20en
dc.subject.jelO50en
dc.subject.ddc330en
dc.subject.stwRegressionen
dc.subject.stwBayes-Statistiken
dc.subject.stwSchätztheorieen
dc.subject.stwWirtschaftswachstumen
dc.subject.stwSchätzungen
dc.subject.stwTheorieen
dc.subject.stwWelten
dc.titleJointness of growth determinants-
dc.typeWorking Paperen
dc.identifier.ppn538173599en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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