Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/36610 
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dc.contributor.authorHanck, Christophen
dc.date.accessioned2009-05-19-
dc.date.accessioned2010-07-15T10:07:58Z-
dc.date.available2010-07-15T10:07:58Z-
dc.date.issued2008-
dc.identifier.urihttp://hdl.handle.net/10419/36610-
dc.description.abstractThis paper proposes a new panel unit root test based on Simes' [Biometrika 1986, An Improved Bonferroni Procedure for Multiple Tests of Significance'] classical intersection test. The test is robust to general patterns of cross-sectional dependence and yet straightforward to implement, only requiring p-values of time series unit root tests of the series in the panel, and no resampling. Monte Carlo experiments show good size and power properties relative to existing panel unit root tests. Unlike previously suggested tests, the new test allows to identify the units in the panel for which the alternative of stationarity can be said to hold. We provide two empirical applications to panels of real gross domestic product (GDP) and real exchange rate data.en
dc.language.isoengen
dc.publisher|aTechnische Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen |cDortmunden
dc.relation.ispartofseries|aTechnical Report |x2008,11en
dc.subject.jelC12en
dc.subject.jelC23en
dc.subject.ddc519en
dc.subject.keywordMultiple Testingen
dc.subject.keywordPanel Unit Root Testen
dc.subject.keywordCross-Sectional Dependenceen
dc.titleAn intersection test for panel unit roots-
dc.typeWorking Paperen
dc.identifier.ppn600067300en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:zbw:sfb475:200811en

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