Determination of Turkey's Import Demand by SUR Method

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dc.authorid0000-0002-0680-948Xen_US
dc.authorid0000-0002-0339-6050en_US
dc.date.accessioned2021-01-22T10:44:37Z
dc.date.available2021-01-22T10:44:37Z
dc.date.issued2014en_US
dc.departmentSelçuk Üniversitesi, Fen Fakültesi, Aktüerya Bölümüen_US
dc.description.abstractSeemingly Unrelated Regression(SUR) analysis method developed byZellner(1962) provides more efficient estimations than that of Least SquareEstimation (LSE) method when the random error terms in regression models thatdiscussed are correlated. In this study, Turkey’s import demand in selectedcountries is examined by SUR analysismethod. The data set is compiled from “1923-2004 Statistical Indicators”published by Turkey Statistical Agency.en_US
dc.identifier.citationSezer, D., Genc, A. (2014). Determination of Turkey's Import Demand by SUR Method. Journal of Selcuk University Natural and Applied Science, 3, (4), 49-60.en_US
dc.identifier.endpage60en_US
dc.identifier.issn2147-3781en_US
dc.identifier.issue4en_US
dc.identifier.startpage49en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/41138
dc.identifier.volume3en_US
dc.institutionauthorSezer, Demet
dc.institutionauthorGenc, Asir
dc.language.isotren_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofJournal of Selcuk University Natural and Applied Scienceen_US
dc.relation.publicationcategoryMakale - Ulusal - Editör Denetimli Dergien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectGeneralized least square methoden_US
dc.subjectleast square methoden_US
dc.subjectseemingly unrelated regressionen_US
dc.titleDetermination of Turkey's Import Demand by SUR Methoden_US
dc.typeArticleen_US

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