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dc.contributor.authorTesfay, Yohannes Yebabe
dc.contributor.authorSolibakke, Per Bjarte
dc.date.accessioned2018-04-04T12:03:18Z
dc.date.available2018-04-04T12:03:18Z
dc.date.created2016-03-17T08:21:16Z
dc.date.issued2017
dc.identifier.citationGlobal Business and Economics Review (GBER). 2017, 19 (6), 696-721.nb_NO
dc.identifier.issn1097-4954
dc.identifier.urihttp://hdl.handle.net/11250/2492600
dc.description.abstractThis paper’s main purpose is an analysis of the intercontinental variations of Norwegian import expenditures based on yearly import data from 1988 to 2014. We estimate functions for the best linear unbiased estimator (BLUE) of the two-stage non-full rank hierarchical linear econometric model. The results confirm that the top three import-items across continents (in descending order) are machinery and transport equipment, manufactured goods classified mainly by material, and miscellaneous manufactured articles. These three import-items cover more than 60% of the Norwegian imports. Furthermore, the model predicts that Europe is the leading continent for Norwegian imports. The European continent is therefore influential for the Norwegian trade pattern, while other continents show lack of stability and predictability. The results imply that any governmental (or private) trade stability programs have only marginal effects.nb_NO
dc.language.isoengnb_NO
dc.publisherIndersciencenb_NO
dc.subjectInternasjonal handelspolitikknb_NO
dc.subjectInternational trade-politicsnb_NO
dc.titleIntercontinental variations of the import trade pattern of Norway: applications to best linear unbiased estimable functions of hierarchical econometric modelnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.subject.nsiVDP::Samfunnsøkonomi: 212nb_NO
dc.subject.nsiVDP::Economics: 212nb_NO
dc.source.pagenumber696-721nb_NO
dc.source.volume19nb_NO
dc.source.journalGlobal Business and Economics Review (GBER)nb_NO
dc.source.issue6nb_NO
dc.identifier.doi10.1504/GBER.2017.10007935
dc.identifier.cristin1345412
dc.description.localcode© 2017. This is the authors' accepted and refereed manuscript to the article. The final authenticated version is available online at: http://www.inderscience.com/offer.php?id=87283nb_NO
cristin.unitcode194,60,15,0
cristin.unitnameInstitutt for internasjonal forretningsdrift
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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