dc.contributor.author | Kirkeby, Sara Jahr | |
dc.contributor.author | Larsen, Vegard Høghaug | |
dc.date.accessioned | 2021-06-22T06:30:53Z | |
dc.date.available | 2021-06-22T06:30:53Z | |
dc.date.issued | 2021 | |
dc.identifier.isbn | 978-82-8379-196-9 | |
dc.identifier.issn | 1504-2596 | |
dc.identifier.uri | https://hdl.handle.net/11250/2760504 | |
dc.description.abstract | We 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.iso | eng | en_US |
dc.publisher | Norges Bank | en_US |
dc.relation.ispartofseries | Staff Memo;5/2021 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | House price prediction using daily news data | en_US |
dc.type | Working paper | en_US |
dc.description.version | publishedVersion | en_US |
dc.subject.nsi | VDP::Samfunnsvitenskap: 200::Økonomi: 210::Samfunnsøkonomi: 212 | en_US |
dc.source.pagenumber | 26 | en_US |