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dc.contributor.authorBowe, Frida
dc.contributor.authorFriis, Inga Nielsen
dc.contributor.authorLoneland, Atle
dc.contributor.authorNjølstad, Erlend Salvesen
dc.contributor.authorMeyer, Sara Skjeggestad
dc.contributor.authorPaulsen, Kenneth Sæterhagen
dc.contributor.authorRobstad, Ørjan
dc.date.accessioned2023-04-03T13:04:37Z
dc.date.available2023-04-03T13:04:37Z
dc.date.issued2023
dc.identifier.isbn978-82-8379-270-6
dc.identifier.issn1504-2596
dc.identifier.urihttps://hdl.handle.net/11250/3061863
dc.description.abstractIn this paper we describe the newly developed System for Model Analysis in Real Time (SMART) used for forecasting and model analysis in Norges Bank. While the long-term goal is to include all empirical models used in forecasting in Norges Bank, the emphasis in this paper will be on the empirical model systems for inflation and GDP. SMART builds on Norges Bank’s previous System for Averaging short-term Models (SAM), but with greater flexibility and a richer set of models. In addition, SMART contains a real-time database with a wide-ranging set of historical data, forecasts from empirical models, Norges Bank’s forecasts from Monetary Policy Reports (MPR) and forecasts from other institutions (e.g. Statistics Norway). Overall, SMART seems to provide good forecasts and will be a useful tool in the monetary policy process.en_US
dc.language.isoengen_US
dc.publisherNorges Banken_US
dc.relation.ispartofseriesStaff Memo;7/2023
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleA SMARTer way to forecasten_US
dc.typeWorking paperen_US
dc.description.versionpublishedVersionen_US
dc.subject.nsiVDP::Samfunnsvitenskap: 200::Økonomi: 210::Samfunnsøkonomi: 212en_US
dc.source.pagenumber32en_US


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal