Testing twin deficits hypothesis for Eu-27 and Turkey: A panel granger causality approach under cross-sectional dependence

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Özet

Twin deficits hypothesis has been one of the most widely-applied phenomenon in the economics literature. In this study, the twin deficits hypothesis was tested for the EU-27 member states and Turkey with the data covering the 2002:Q1-2014:Q1 period. Unlike other studies, the twin deficits hypothesis was tested by using second generation panel causality tests that considered the cross-sectional dependence. According to the findings of this study, which used panel Granger causality tests suggested by Dumitrescu-Hurlin (2012) and Emirmahmutoğlu-Kose (2011), there is statistically significant bidirectional causality between budget deficit (BD) and current account deficit (CAD) in the relevant period. It was found out a bidirectional causality between BD and CAD in sixteen of the twenty-eight countries (Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Italy, Netherlands, Romania, Spain, Turkey and the UK) and a unidirectional causality from BD to CAD was also noticed in five EU countries (Cyprus, Latvia, Lithuania, Poland and Slovakia). Nevertheless, the findings indicated that there is a unidirectional causality from CAD to BD in Hungary, Luxembourg and Malta but there is no causality between BD and CAD in Ireland, Portugal, Slovenia, and Sweden.

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AlanDeğerDil
dc.contributor.authorBölükbaş, Mehmet
dc.contributor.authorTopal, Mehmet Hanefi
dc.contributor.authorHotunluoğlu, Hakan
dc.date.accessioned2026-10-22T10:23:36.070018344Z
dc.date.available2026-10-22T10:23:36.070018344Z
dc.date.issued2018
dc.description.abstractTwin deficits hypothesis has been one of the most widely-applied phenomenon in the economics literature. In this study, the twin deficits hypothesis was tested for the EU-27 member states and Turkey with the data covering the 2002:Q1-2014:Q1 period. Unlike other studies, the twin deficits hypothesis was tested by using second generation panel causality tests that considered the cross-sectional dependence. According to the findings of this study, which used panel Granger causality tests suggested by Dumitrescu-Hurlin (2012) and Emirmahmutoğlu-Kose (2011), there is statistically significant bidirectional causality between budget deficit (BD) and current account deficit (CAD) in the relevant period. It was found out a bidirectional causality between BD and CAD in sixteen of the twenty-eight countries (Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Italy, Netherlands, Romania, Spain, Turkey and the UK) and a unidirectional causality from BD to CAD was also noticed in five EU countries (Cyprus, Latvia, Lithuania, Poland and Slovakia). Nevertheless, the findings indicated that there is a unidirectional causality from CAD to BD in Hungary, Luxembourg and Malta but there is no causality between BD and CAD in Ireland, Portugal, Slovenia, and Sweden.
dc.identifier.eissn2537-6071
dc.identifier.endpage119
dc.identifier.issn1582-6163
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85063259351
dc.identifier.startpage101
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/15112
dc.identifier.volume21
dc.identifier.wosWOS:000458904500007
dc.language.isoen
dc.publisherInstitute for Economic Forecasting
dc.relation.ispartofRomanian Journal of Economic Forecasting
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBudget deficit
dc.subjectCross-sectional dependence
dc.subjectCurrent account deficit
dc.subjectPanel Granger causality
dc.subjectTwin deficits hypothesis
dc.subject.classificationEconomics
dc.subject.classificationBusiness & Economics
dc.subject.otherCURRENT ACCOUNT
dc.subject.otherFISCAL-POLICY
dc.subject.otherBUDGET
dc.titleTesting twin deficits hypothesis for Eu-27 and Turkey: A panel granger causality approach under cross-sectional dependence
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus6
rdl.citation.wos5
rdl.oa.statusclosed
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexSocial Science Citation Index (SSCI)