Consequences of Fractionally Integrated Regressors

dc.contributor.authorPloberger, Wernerde
dc.date.accessioned2004-12-06T18:39:43Z
dc.date.available2004-12-06T18:39:43Z
dc.date.issued1999de
dc.description.abstractThis paper analyzes linear models. It investigates the difference between the sum of squares of the residuals and the sum of squares of the prediction errors when the parameter is estimated consecutively: In case the regressors are "fractionally integrated" (in a very broad sense) it is shown that the asymptotic behavior of this difference is determined by the order of integration of the regressors.en
dc.format.extent168403 bytes
dc.format.extent396586 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.urihttp://hdl.handle.net/2003/4922
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-15026
dc.language.isoende
dc.publisherUniversitätsbibliothek Dortmundde
dc.subject.ddc310de
dc.titleConsequences of Fractionally Integrated Regressorsen
dc.typeTextde
dc.type.publicationtypereporten
dcterms.accessRightsopen access
eldorado.dnb.deposittrue

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