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Do Bivariate SVAR Models with Long-Run Identifying Restrictions Yield Reliable Results? The Case of Germany

  • Jan Gottschalk
  • Willem Van Zandweghe

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.

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File URL: https://www.ifw-members.ifw-kiel.de/publications/do-bivariate-svar-models-with-long-run-identifying-restrictions-yield-reliable-results-the-case-of-germany/kap1068.pdf
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Paper provided by Kiel Institute for the World Economy in its series Kiel Working Papers with number 1068.

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Length: 52 pages
Date of creation: Aug 2001
Date of revision:
Handle: RePEc:kie:kieliw:1068
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