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dc.contributor.authorKrüger, Fabian
dc.contributor.authorClark, Todd E.
dc.contributor.authorRavazzolo, Francesco
dc.date.accessioned2015-11-20T13:15:12Z
dc.date.available2015-11-20T13:15:12Z
dc.date.issued2015
dc.identifier.issn1892-2198
dc.identifier.urihttp://hdl.handle.net/11250/2365013
dc.description.abstractThis paper shows entropic tilting to be a flexible and powerful tool for combining mediumterm forecasts from BVARs with short-term forecasts from other sources (nowcasts from either surveys or other models). Tilting systematically improves the accuracy of both point and density forecasts, and tilting the BVAR forecasts based on nowcast means and variances yields slightly greater gains in density accuracy than does just tilting based on the nowcast means. Hence entropic tilting can offer - more so for persistent variables than not-persistent variables - some benefits for accurately estimating the uncertainty of multi-step forecasts that incorporate nowcast information.nb_NO
dc.language.isoengnb_NO
dc.publisherBI Norwegian Business Schoolnb_NO
dc.relation.ispartofseriesCAMP Working Paper Series;8/2015
dc.subjectForecastingnb_NO
dc.subjectPredictionnb_NO
dc.subjectBayesian Analysisnb_NO
dc.titleUsing Entropic Tilting to Combine BVAR Forecasts with External Nowcastsnb_NO
dc.typeWorking papernb_NO
dc.source.pagenumber60nb_NO
dc.source.issue8/2015nb_NO


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