dc.contributor.author | Larsen, Vegard Høghaug | |
dc.date.accessioned | 2022-06-07T13:18:32Z | |
dc.date.available | 2022-06-07T13:18:32Z | |
dc.date.created | 2021-01-25T12:31:08Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | International Economic Review, 2021, 62: 769-788. | en_US |
dc.identifier.issn | 0020-6598 | |
dc.identifier.uri | https://hdl.handle.net/11250/2997750 | |
dc.description.abstract | Uncertainty 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. The paper finds that, depending on its source, the effects of uncertainty on a macroeconomic variable may differ. I find that both good (expansionary effect) and bad (contractionary effect) types of uncertainty exist. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Wiley | en_US |
dc.title | Components of Uncertainty | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | Wiley | en_US |
dc.source.pagenumber | 769-788. | en_US |
dc.source.volume | 62 | en_US |
dc.source.journal | International Economic Review | en_US |
dc.identifier.doi | 10.1111/iere.12499 | |
dc.identifier.cristin | 1878350 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.fulltext | preprint | |
cristin.qualitycode | 2 | |