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dc.contributor.authorBoug, Pål
dc.contributor.authorHungnes, Håvard
dc.contributor.authorTakamitsu, Kurita
dc.date.accessioned2021-12-07T12:58:54Z
dc.date.available2021-12-07T12:58:54Z
dc.date.issued2021-11
dc.identifier.issn1892-753X
dc.identifier.urihttps://hdl.handle.net/11250/2833143
dc.description.abstractThe recent boom in house prices in many countries during the Covid-19 pandemic and the possibility of household financial distress are of concern among some central banks. We revisit the empirical modelling of house prices and household debt with a policy-oriented perspective using Norwegian data over the last four decades within the cointegrated VAR model. Our findings suggest, in line with previous work, a long-run mutually reinforcing relationship between these financial magnitudes, and thus the potential for the build-up of financial instabilities and spillover effects to the real economy. Applying a control analysis, we find that both house prices and debt are controllable magnitudes to some pre-specified target levels through the mortgage interest rate, which enables the central bank to reduce large fluctuations and bubble tendencies in the housing market. The present control analysis thus provides some useful policy implications from empirically relevant representations of two important financial factors entering the decision process of the policy maker.en_US
dc.description.sponsorshipTakamitsu Kurita gratefully acknowledges financial support from JSPS KAKENHI 18K01600en_US
dc.language.isoengen_US
dc.publisherStatistisk sentralbyråen_US
dc.relation.ispartofseriesDiscussion Paper;No. 967
dc.rightsNavngivelse-DelPåSammeVilkår 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/deed.no*
dc.subjectHouse pricesen_US
dc.subjectHousehold debten_US
dc.subjectEconometric modellingen_US
dc.subjectCointegrated VARen_US
dc.subjectPolicy control analysisen_US
dc.subjectSimulationen_US
dc.titleThe empirical modelling of house prices and debt revisited: A policy-oriented perspectiveen_US
dc.typeWorking paperen_US
dc.source.pagenumber31en_US


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