Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/26023
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dc.contributor.authorDoppelhofer, Gernoten_US
dc.contributor.authorWeeks, Melvynen_US
dc.date.accessioned2007-07-25en_US
dc.date.accessioned2009-07-28T08:14:59Z-
dc.date.available2009-07-28T08:14:59Z-
dc.date.issued2007en_US
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_US
dc.language.isoengen_US
dc.publisher|aCenter for Economic Studies and Ifo Institute (CESifo) |cMunichen_US
dc.relation.ispartofseries|aCESifo working paper|x1978en_US
dc.subject.jelC11en_US
dc.subject.jelC52en_US
dc.subject.jelO20en_US
dc.subject.jelO50en_US
dc.subject.ddc330en_US
dc.subject.stwRegressionen_US
dc.subject.stwBayes-Statistiken_US
dc.subject.stwSchätztheorieen_US
dc.subject.stwWirtschaftswachstumen_US
dc.subject.stwSchätzungen_US
dc.subject.stwTheorieen_US
dc.subject.stwWelten_US
dc.titleJointness of growth determinantsen_US
dc.type|aWorking Paperen_US
dc.identifier.ppn538173599en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-

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