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dc.contributor.authorBårdsen, Gunnar
dc.contributor.authorKolsrud, Dag
dc.contributor.authorNymoen, Ragnar
dc.date.accessioned2018-07-02T10:21:38Z
dc.date.available2018-07-02T10:21:38Z
dc.date.created2017-08-15T13:21:23Z
dc.date.issued2017
dc.identifier.citationJournal of Forecasting. 2017, 36 (6), 629-639.nb_NO
dc.identifier.issn0277-6693
dc.identifier.urihttp://hdl.handle.net/11250/2503931
dc.description.abstractThis paper investigates potential invariance of mean forecast errors to structural breaks in the data generating process. From the general forecasting literature, such robustness is expected to be a rare occurrence. With the aid of a stylized macro model we are able to identify some economically relevant cases of robustness and to interpret them economically. We give an interpretation in terms of co-breaking. The analytical results resound well with the forecasting record of a medium-scale econometric model of the Norwegian economy.nb_NO
dc.language.isoengnb_NO
dc.publisherWileynb_NO
dc.titleForecast Robustness in Macroeconometric Modelsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber629-639nb_NO
dc.source.volume36nb_NO
dc.source.journalJournal of Forecastingnb_NO
dc.source.issue6nb_NO
dc.identifier.doi10.1002/for.2459
dc.identifier.cristin1486395
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2017 by Wileynb_NO
cristin.unitcode194,60,20,0
cristin.unitnameInstitutt for samfunnsøkonomi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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