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dc.contributor.authorCrespo Cuaresma, Jesus
dc.contributor.authorDoppelhofer, Gernot Peter
dc.contributor.authorFeldkircher, Martin
dc.contributor.authorHuber, Florian
dc.date.accessioned2019-06-07T06:35:56Z
dc.date.available2019-06-07T06:35:56Z
dc.date.created2019-05-22T10:52:13Z
dc.date.issued2019
dc.identifier.citationJournal of the Royal Statistical Society: Series A (Statistics in Society). 2019, 182 (3), 831-861.nb_NO
dc.identifier.issn0964-1998
dc.identifier.urihttp://hdl.handle.net/11250/2600228
dc.description.abstractThe paper develops a global vector auto-regressive model with time varying parameters and stochastic volatility to analyse whether international spillovers of US monetary policy have changed over time. The model proposed enables us to assess whether coefficients evolve gradually over time or are better characterized by infrequent, but large, breaks. Our findings point towards pronounced changes in the international transmission of US monetary policy throughout the sample period, especially so for the reaction of international output, equity prices and exchange rates against the US dollar. In general, the strength of spillovers has weakened in the aftermath of the global financial crisis. Using simple panel regressions, we link the variation in international responses to measures of trade and financial globalization. We find that a broad trade base and a high degree of financial integration with the world economy tend to cushion risks stemming from a foreign shock such as US tightening of monetary policy, whereas a reduction in trade barriers and/or a liberalization of the capital account increase these risksnb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectglobalizationnb_NO
dc.subjectmixture innovation modelsnb_NO
dc.subjectspilloversnb_NO
dc.subjectzero lower boundnb_NO
dc.titleSpillovers from US monetary policy: evidence from a time varying parameter global vector auto-regressive modelnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Mathematics: 410nb_NO
dc.subject.nsiVDP::Social science: 200::Economics: 210::Economics: 212nb_NO
dc.source.pagenumber831-861nb_NO
dc.source.volume182nb_NO
dc.source.journalJournal of the Royal Statistical Society: Series A (Statistics in Society)nb_NO
dc.source.issue3nb_NO
dc.identifier.doi10.1111/rssa.12439
dc.identifier.cristin1699414
cristin.unitcode191,30,0,0
cristin.unitnameInstitutt for samfunnsøkonomi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal