Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1133
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dc.contributor.authorKılıç, Erdem-
dc.contributor.authorÇankaya, Serkan-
dc.date.accessioned2019-09-16T08:03:16Z
dc.date.available2019-09-16T08:03:16Z
dc.date.issued2019-
dc.identifier.citationKilic, E., & Cankaya, S. (August 29, 2019). Oil prices and economic activity in BRICS and G7 countries. Central European Journal of Operations Research. 1-28.en_US
dc.identifier.issn1435-246X-
dc.identifier.issn1613-9178-
dc.identifier.urihttps://doi.org/10.1007/s10100-019-00647-8-
dc.identifier.urihttps://hdl.handle.net/20.500.11779/1133-
dc.description.abstractThe effect of oil prices on countries’ economic activity has been the center of attention for decades. The empirical link between oil prices and economic activity has been steadily investigated during this time period but the measured outcomes have revealed mixed results and been inconsistent. This study examines the effect of oil prices on economic activity for Brazil, Russia, India, China, and South Africa (BRICS) and Group of Seven (G7) countries in both short-run and long-run relationships by estimating a maximum likelihood structural vector autoregression model. The model shows that a positive shock to oil prices tends to affect the monetary aggregate in Brazil, Canada, France, Germany, and Russia. The effect on interest rate spread is most significant in India and Russia. Impulse response functions display almost no effect on the gross domestic product in the US and China. A positive response on the consumer price index is observed mostly for developed countries. The response of real exchange rate reveals a positive effect on all countries in varying degrees, with the exception of the US and South Africa. Finally, Granger causality tests were conducted with proper allowance for the non-stationarity of the data. The findings illustrate that the Russian economy is among the economies that are most significantly affected by oil price fluctuations for almost all the selected variables. The models also reveal that the effect of oil price shocks on the US’s and China’s economic activities is only limited to the effect on real exchange rates. Other variables show no or limited reactions to oil prices. We also used the Markov switching maximum likelihood vector autoregression models, which reveals similar results.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofCentral European Journal of Operations Researchen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOil price shocksen_US
dc.subjectStructural vectorautoregression model (svar)en_US
dc.subjectMarkov switching model (ms var)en_US
dc.subjectMacroeconomic fluctuationsen_US
dc.titleOil Prices and Economic Activity in Brics and G7 Countriesen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s10100-019-00647-8-
dc.identifier.scopus2-s2.0-85072045301en_US
dc.description.woscitationindexScience Citation Index Expanded-
dc.identifier.wosqualityQ4-
dc.description.WoSDocumentTypeArticle
dc.description.WoSInternationalCollaborationUluslararası işbirliği ile yapılmayan - HAYIRen_US
dc.description.WoSPublishedMonthAralıken_US
dc.description.WoSIndexDate2020en_US
dc.description.WoSYOKperiodYÖK - 2020-21en_US
dc.identifier.scopusqualityQ2-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.endpage28en_US
dc.identifier.startpage1en_US
dc.departmentİİSBF, Ekonomi Bölümüen_US
dc.identifier.wosWOS:000579451500007en_US
dc.institutionauthorKılıç, Erdem-
item.grantfulltextembargo_20300916-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Ekonomi Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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