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dc.contributor.authorHanck, Christoph-
dc.date.accessioned2006-12-15T11:12:36Z-
dc.date.available2006-12-15T11:12:36Z-
dc.date.issued2006-12-15T11:12:36Z-
dc.identifier.urihttp://hdl.handle.net/2003/23126-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-14299-
dc.description.abstractTime series cointegration tests, even in the presence of large sample sizes, often yield conflicting conclusions (“mixed signals”) as measured by, inter alia, a low correlation of empirical p-values [see Gregory et al., 2004, Journal of Applied Econometrics]. Using their methodology, we present evidence suggesting that the problem of mixed signals persists for popular panel cointegration tests. As expected, there is weaker correlation between residual and system-based tests than between tests of the same group.en
dc.format.extent287093 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.subjectMixed signalsen
dc.subjectMonte carlo comparisonen
dc.subjectPanel cointegration testsen
dc.subject.ddc004-
dc.titleMixed signals among panel cointegration testsen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 475

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