Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/25249 
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dc.contributor.authorJeong, Kihoen
dc.contributor.authorHärdle, Wolfgang Karlen
dc.date.accessioned2008-02-21-
dc.date.accessioned2009-07-23T15:03:31Z-
dc.date.available2009-07-23T15:03:31Z-
dc.date.issued2008-
dc.identifier.urihttp://hdl.handle.net/10419/25249-
dc.description.abstractThis paper proposes a nonparametric test of causality in quantile. Zheng (1998) has proposed an idea to reduce the problem of testing a quantile restriction to a problem of testing a particular type of mean restriction in independent data. We extend Zheng’s approach to the case of dependent data, particularly to the test of Granger causality in quantile. The proposed test statistic is shown to have a second-order degenerate U-statistic as a leading term under the null hypothesis. Using the result on the asymptotic normal distribution for a general second order degenerate U-statistics with weakly dependent data of Fan and Li (1996), we establish the asymptotic distribution of the test statistic for causality in quantile under ?-mixing (absolutely regular) process.en
dc.language.isoengen
dc.publisher|aHumboldt University of Berlin, Collaborative Research Center 649 - Economic Risk |cBerlinen
dc.relation.ispartofseries|aSFB 649 Discussion Paper |x2008,007en
dc.subject.jelC14en
dc.subject.jelC52en
dc.subject.ddc330en
dc.subject.keywordGranger Causality , Quantile , Nonparametric Testen
dc.subject.stwKausalanalyseen
dc.subject.stwStatistischer Testen
dc.subject.stwNichtparametrisches Verfahrenen
dc.subject.stwTheorieen
dc.titleA consistent nonparametric test for causality in quantile-
dc.type|aWorking Paperen
dc.identifier.ppn55874964Xen
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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