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EXTREME EVENTS AND OPTIMAL MONETARY POLICY

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dc.contributor.authorKim, Jinill-
dc.contributor.authorRuge-Murcia, Francisco-
dc.date.accessioned2021-09-01T15:49:09Z-
dc.date.available2021-09-01T15:49:09Z-
dc.date.created2021-06-19-
dc.date.issued2019-05-
dc.identifier.issn0020-6598-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/65897-
dc.description.abstractThis article studies the implication of extreme shocks for monetary policy. The analysis is based on a small-scale New Keynesian model with sticky prices and wages where shocks are drawn from asymmetric generalized extreme value distributions. A nonlinear perturbation solution of the model is estimated by the simulated method of moments. Under the Ramsey policy, the central bank responds nonlinearly and asymmetrically to shocks. The trade-off between targeting a gross inflation rate above 1 as insurance against extreme shocks and targeting an average gross inflation at unity to avoid adjustment costs is unambiguously decided in favor of strict price stability.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherWILEY-
dc.subjectFREQUENCY-DISTRIBUTION-
dc.subjectMAXIMUM-
dc.subjectPRICES-
dc.subjectMODELS-
dc.titleEXTREME EVENTS AND OPTIMAL MONETARY POLICY-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Jinill-
dc.identifier.doi10.1111/iere.12372-
dc.identifier.scopusid2-s2.0-85056163442-
dc.identifier.wosid000468796500015-
dc.identifier.bibliographicCitationINTERNATIONAL ECONOMIC REVIEW, v.60, no.2, pp.939 - 963-
dc.relation.isPartOfINTERNATIONAL ECONOMIC REVIEW-
dc.citation.titleINTERNATIONAL ECONOMIC REVIEW-
dc.citation.volume60-
dc.citation.number2-
dc.citation.startPage939-
dc.citation.endPage963-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBusiness & Economics-
dc.relation.journalWebOfScienceCategoryEconomics-
dc.subject.keywordPlusFREQUENCY-DISTRIBUTION-
dc.subject.keywordPlusMAXIMUM-
dc.subject.keywordPlusPRICES-
dc.subject.keywordPlusMODELS-
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