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dc.contributor.authorHanck, Christoph-
dc.date.accessioned2006-12-15T11:22:43Z-
dc.date.available2006-12-15T11:22:43Z-
dc.date.issued2006-12-15T11:22:43Z-
dc.identifier.urihttp://hdl.handle.net/2003/23128-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-2799-
dc.description.abstractWe use recent advances in multiple testing to identify the countries for which Purchasing Power Parity (PPP) held over the last century. The approach controls the multiplicity problem inherent in simultaneously testing for PPP on several time series, thereby avoiding spurious rejections. It has higher power than traditional multiple testing techniques by exploiting the dependence structure between the countries with a bootstrap approach. We use a sieve bootstrap approach to account for nonstationarity under the null hypothesis. Our empirical results show that, plausibly, controlling for multiplicity in this way leads to a number of rejections of the null of no PPP that is intermediate between that of traditional multiple testing techniques and that which results if one tests the null on each single time series at some level alpha. JEL Classification: C12, C23, F31de
dc.format.extent179196 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.subjectBootstrapen
dc.subjectMultiple testingen
dc.subjectPanel dataen
dc.subjectPurchasing Power Parity (PPP)en
dc.subject.ddc004-
dc.titleFor which countries did PPP hold? A multiple testing approachen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access-
Appears in Collections:Sonderforschungsbereich (SFB) 475

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