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dc.contributor.authorKaragedikli, Özer
dc.contributor.authorMatheson, Troy
dc.contributor.authorSmith, Christie
dc.contributor.authorVahey, Shaun P.
dc.date.accessioned2018-05-09T11:01:36Z
dc.date.available2018-05-09T11:01:36Z
dc.date.issued2008
dc.identifier.isbn978-82-7553-459-8
dc.identifier.isbn978-82-7553-460-4
dc.identifier.issn0801-2504
dc.identifier.issn1502-8143
dc.identifier.urihttp://hdl.handle.net/11250/2497768
dc.description.abstractReal Business Cycle (RBC) and Dynamic Stochastic General Equilibrium (DSGE) methods have become essential components of the macroeconomist’s toolkit. This literature review stresses recently developed techniques for computation and inference, providing a supplement to the Romer (2006) textbook, which stresses theoretical issues. Many computational aspects are illustrated with reference to the simple divisible labour RBC model. Code and US data to replicate the computations are provided on the Internet, together with a number of appendices providing background details.nb_NO
dc.language.isoengnb_NO
dc.publisherNorges Banknb_NO
dc.relation.ispartofseriesWorking Papers;17/2008
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectJEL: C11nb_NO
dc.subjectJEL: C50nb_NO
dc.subjectJEL: E30nb_NO
dc.subjectRBCnb_NO
dc.subjectDSGEnb_NO
dc.subjectBayesian analysisnb_NO
dc.subjectcomputationnb_NO
dc.subjectsimulationnb_NO
dc.titleRBCs and DSGEs: The Computational Approach to Business Cycle Theory and Evidencenb_NO
dc.typeWorking papernb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Samfunnsvitenskap: 200::Økonomi: 210::Samfunnsøkonomi: 212nb_NO
dc.source.pagenumber36nb_NO


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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