Identifying Turkish business cycle regimes in real time

dc.contributor.authorSoybilgen, Baris
dc.date.accessioned2024-07-18T20:45:13Z
dc.date.available2024-07-18T20:45:13Z
dc.date.issued2020
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractIn this study, we analyse the real-time identification performance of the BBQ method and the Markov switching (MS) model in the case of Turkey by comparing their real-time and ex-post identification results between 1997M01-2017M12. We show that both the BBQ and the MS methodologies identify the nearly same turning point dates for the Turkish economy both ex-post and in real time by using a pseudo real-time data set. We also calculate the real-time identification lag of models and show that the MS model and the BBQ method identify a turning point with a 3-4 months lag and a 6 months lag, respectively. Finally, we show that data revisions do not have a significant impact on the real-time identification performance of the models between 2005M01-2017M12.en_US
dc.identifier.doi10.1080/13504851.2019.1607243
dc.identifier.endpage66en_US
dc.identifier.issn1350-4851
dc.identifier.issn1466-4291
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85065057218en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage62en_US
dc.identifier.urihttps://doi.org/10.1080/13504851.2019.1607243
dc.identifier.urihttps://hdl.handle.net/11411/7460
dc.identifier.volume27en_US
dc.identifier.wosWOS:000471536200001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherRoutledge Journals, Taylor & Francis Ltden_US
dc.relation.ispartofApplied Economics Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBusiness Cyclesen_US
dc.subjectTurning Pointsen_US
dc.subjectMarkov Switchingen_US
dc.subjectBbqen_US
dc.subjectTurkeyen_US
dc.subjectSeriesen_US
dc.titleIdentifying Turkish business cycle regimes in real time
dc.typeArticle

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