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dc.contributor.authorEllingsen, Jon
dc.contributor.authorLarsen, Vegard H.
dc.contributor.authorThorsrud, Leif Anders
dc.date.accessioned2020-11-30T09:26:39Z
dc.date.available2020-11-30T09:26:39Z
dc.date.issued2020
dc.identifier.isbn978-82-8379-168-6
dc.identifier.issn1502-8190
dc.identifier.urihttps://hdl.handle.net/11250/2690107
dc.description.abstractUsing a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature, namely the FRED-MD dataset. Focusing on U.S. GDP, consumption and investment growth, our results suggest that the news data contains information not captured by the hard economic indicators, and that the news-based data are particularly informative for forecasting consumption developments.en_US
dc.language.isoengen_US
dc.publisherNorges Banken_US
dc.relation.ispartofseriesWorking Paper;14/2020
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectforecastingen_US
dc.subjectreal-timeen_US
dc.subjectmachine learningen_US
dc.subjectnewsen_US
dc.subjecttext dataen_US
dc.subjectJEL: C53en_US
dc.subjectJEL: C55en_US
dc.subjectJEL: E27en_US
dc.subjectJEL: E37en_US
dc.titleNews media vs. FRED-MD for macroeconomic forecastingen_US
dc.typeWorking paperen_US
dc.description.versionpublishedVersionen_US
dc.subject.nsiVDP::Samfunnsvitenskap: 200::Økonomi: 210::Samfunnsøkonomi: 212en_US
dc.source.pagenumber43en_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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