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dc.contributor.authorForoni, Claudia
dc.contributor.authorMarcellino, Massimiliano
dc.date.accessioned2018-04-25T13:01:21Z
dc.date.available2018-04-25T13:01:21Z
dc.date.issued2014
dc.identifier.isbn978-82-7553-784-1
dc.identifier.issn1502-8143
dc.identifier.urihttp://hdl.handle.net/11250/2495985
dc.description.abstractA mismatch between the time scale of a structural VAR (SVAR) model and that of the time series data used for its estimation can have serious consequences for identification, estimation and interpretation of the impulse response functions. However, the use of mixed frequency data, combined with a proper estimation approach, can alleviate the temporal aggregation bias, mitigate the identification issues, and yield more reliable responses to shocks. The problems and possible remedy are illustrated analytically and with both simulated and actual data.nb_NO
dc.language.isoengnb_NO
dc.publisherNorges Banknb_NO
dc.relation.ispartofseriesWorking Papers;1/2014
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectJEL: C32nb_NO
dc.subjectJEL: C43nb_NO
dc.subjectJEL: E32nb_NO
dc.subjectstructural VARnb_NO
dc.subjecttemporal aggregationnb_NO
dc.subjectmixed frequency datanb_NO
dc.subjectidentificationnb_NO
dc.subjectestimationnb_NO
dc.subjectimpulse response functionnb_NO
dc.titleMixed Frequency Structural VARsnb_NO
dc.typeWorking papernb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Samfunnsvitenskap: 200::Økonomi: 210::Samfunnsøkonomi: 212nb_NO
dc.source.pagenumber25nb_NO


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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