Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/17890
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dc.creatorvan Zandweghe, Willem-
dc.creatorGottschalk, Jan-
dc.date2001-
dc.date.accessioned2013-10-16T06:57:13Z-
dc.date.available2013-10-16T06:57:13Z-
dc.date.issued2013-10-16-
dc.identifierhttp://hdl.handle.net/10419/17890-
dc.identifierppn:333220897-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/10419/17890-
dc.descriptionBivariate SVAR models employing long-run identifying restrictions are often used to investigate the source of business cycle fluctuations. Their advantage is the simplicity in use and interpretation. However, their low dimension may also lead to a failure of the identification procedure, with the result that the identified shocks are a mixture of the ?true? shocks. To investigate this issue, we evaluate for German data the consistency of results from different bivariate SVAR models employing the same long-run identifying restrictions. We find that these models do not offer reliable evidence on the sources of output fluctuations.-
dc.languageeng-
dc.publisherKiel Institute for the World Economy (IfW) Kiel-
dc.relationKieler Arbeitspapiere 1068-
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.subjectE32-
dc.subjectC32-
dc.subjectddc:330-
dc.subjectBusiness Cycle Fluctuations-
dc.subjectStructural Vector Autoregression Models-
dc.subjectLong-run Restrictions-
dc.subjectVAR-Modell-
dc.subjectZeitreihenanalyse-
dc.subjectUnit Root Test-
dc.subjectKonjunktur-
dc.subjectSchock-
dc.subjectSchätzung-
dc.subjectTheorie-
dc.subjectDeutschland-
dc.subjectSVAR-
dc.titleDo Bivariate SVAR Models with Long-Run Identifying Restrictions Yield Reliable Results? The Case of Germany-
dc.typedoc-type:workingPaper-
dc.coverage1962-1998-
Appears in Collections:EconStor

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