Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/18491
Full metadata record
DC FieldValueLanguage
dc.creatorSiliverstovs, Boriss-
dc.creatorKholodilin, Konstantin Arkadievich-
dc.date2006-
dc.date.accessioned2013-10-16T07:00:14Z-
dc.date.available2013-10-16T07:00:14Z-
dc.date.issued2013-10-16-
dc.identifierhttp://hdl.handle.net/10419/18491-
dc.identifierppn:514149612-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/10419/18491-
dc.descriptionThis paper suggests a novel approach to pre-selection of the component series of the diffusion index based on their individual forecasting performance. It is shown that this targeted selection allows substantially improving the forecasting ability compared to the diffusion index models that are based on the largest available data set.-
dc.languageeng-
dc.publisherDeutsches Institut für Wirtschaftsforschung (DIW) Berlin-
dc.relationDIW-Diskussionspapiere 598-
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.subjectC10-
dc.subjectE32-
dc.subjectddc:330-
dc.subjectDiffusion index ; forecasting ; optimal subset of data-
dc.titleOn Selection of Components for a Diffusion Index Model: It?s not the Size, It?s How You Use It-
dc.typedoc-type:workingPaper-
Appears in Collections:EconStor

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.