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dc.contributor.authorHammersland, Roger
dc.date.accessioned2011-11-01T22:47:26Z
dc.date.available2011-11-01T22:47:26Z
dc.date.issued2008
dc.identifier.issn1892-753x
dc.identifier.urihttp://hdl.handle.net/11250/180407
dc.description.abstractAbstract: This paper addresses how to enhance the role of data in structural model design by utilizing structural breaks and superfluous information as auxiliary tools of exact identification. To illustrate the procedure and to study the simultaneous interplay between financial variables and the real side of the economy a simultaneous equation model is constructed on Norwegian aggregate data. In this model, while innovations to stock prices and credit do cause short run movements in real activity, such innovations do not precede real economy movements in the long run. Keywords: Structural vector Error Correction modeling, Identification, Cointegration, Financial variables and the real economy.no_NO
dc.language.isoengno_NO
dc.publisherStatistics Norway, Research Departmentno_NO
dc.relation.ispartofseriesDiscussion Papers;No. 562
dc.subjectJEL classification: C30no_NO
dc.subjectJEL classification: C32no_NO
dc.subjectJEL classification: C50no_NO
dc.subjectJEL classification: C51no_NO
dc.subjectJEL classification: E44no_NO
dc.subjectJEL classification: C53no_NO
dc.subjectError Correction modelingno_NO
dc.subjectStructural vectorno_NO
dc.titleClassical identification : a viable road for data to inform structural modelingno_NO
dc.typeWorking paperno_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412no_NO
dc.subject.nsiVDP::Social science: 200::Economics: 210no_NO
dc.source.pagenumber20 s.no_NO


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