House price prediction using daily news data

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

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