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dc.contributor.authorLarsen, Vegard Høghaug
dc.date.accessioned2018-04-24T08:12:43Z
dc.date.available2018-04-24T08:12:43Z
dc.date.issued2017
dc.identifier.isbn978-82-7553-971-5
dc.identifier.issn1502-8190
dc.identifier.urihttp://hdl.handle.net/11250/2495586
dc.description.abstractUncertainty is acknowledged to be a source of economic fluctuations. But, does the type of uncertainty matter for the economy's response to an uncertainty shock? This paper offers a novel identification strategy to disentangle different types of uncertainty. It uses machine learning techniques to classify different types of news instead of specifying a set of keywords. It is found that, depending on its source, the effects of uncertainty on macroeconomic variable may differ. I find that both good (expansionary effect) and bad (contractionary effect) types of uncertainty exist.nb_NO
dc.language.isoengnb_NO
dc.publisherNorges Banknb_NO
dc.relation.ispartofseriesWorking Papers;5/2017
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectJEL: D80nb_NO
dc.subjectJEL: E32nb_NO
dc.subjectJEL: E66nb_NO
dc.subjectnewspapernb_NO
dc.subjecttopic modelnb_NO
dc.subjectuncertaintynb_NO
dc.subjectbusiness cyclesnb_NO
dc.subjectmachine learningnb_NO
dc.titleComponents of Uncertaintynb_NO
dc.typeWorking papernb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Samfunnsvitenskap: 200::Økonomi: 210::Samfunnsøkonomi: 212nb_NO
dc.source.pagenumber39nb_NO


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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