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dc.contributor.authorKirkeby, Sara Jahr
dc.contributor.authorLarsen, Vegard Høghaug
dc.date.accessioned2021-06-22T06:30:53Z
dc.date.available2021-06-22T06:30:53Z
dc.date.issued2021
dc.identifier.isbn978-82-8379-196-9
dc.identifier.issn1504-2596
dc.identifier.urihttps://hdl.handle.net/11250/2760504
dc.description.abstractWe investigate whether information from news articles could improve predictions of house price inflation at a short forecast horizon. The Covid-19 pandemic led to a shutdown of the Norwegian economy on 12 March 2020. Large economic fluctuations posed challenges for models used to forecast economic developments. Our results indicate that news data contain valuable information about the direction of the housing market in periods of economic distress.en_US
dc.language.isoengen_US
dc.publisherNorges Banken_US
dc.relation.ispartofseriesStaff Memo;5/2021
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleHouse price prediction using daily news dataen_US
dc.typeWorking paperen_US
dc.description.versionpublishedVersionen_US
dc.subject.nsiVDP::Samfunnsvitenskap: 200::Økonomi: 210::Samfunnsøkonomi: 212en_US
dc.source.pagenumber26en_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal