Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/17890
Title: Do Bivariate SVAR Models with Long-Run Identifying Restrictions Yield Reliable Results? The Case of Germany
Keywords: E32
C32
ddc:330
Business Cycle Fluctuations
Structural Vector Autoregression Models
Long-run Restrictions
VAR-Modell
Zeitreihenanalyse
Unit Root Test
Konjunktur
Schock
Schätzung
Theorie
Deutschland
SVAR
Issue Date: 16-Oct-2013
Publisher: Kiel Institute for the World Economy (IfW) Kiel
Description: Bivariate 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.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/10419/17890
Other Identifiers: http://hdl.handle.net/10419/17890
ppn:333220897
Appears in Collections:EconStor

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