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dc.contributor.authorBinning, Andrew
dc.date.accessioned2018-05-02T10:51:26Z
dc.date.available2018-05-02T10:51:26Z
dc.date.issued2013
dc.identifier.isbn978-82-7553-771-1
dc.identifier.issn1502-8143
dc.identifier.urihttp://hdl.handle.net/11250/2496688
dc.description.abstractIn this paper I derive the matrix chain rules for solving a second and a third-order approximation to a DSGE model that allow the use of a recursive Sylvester equation solution method. In particular I use the solution algorithms of Kamenik (2005) and Martin & Van Loan (2006) to solve the generalised Sylvester equations. Because I use matrix algebra instead of tensor notation to find the system of equations, I am able to provide standalone Matlab routines that make it feasible to solve a medium scale DSGE model in a competitive time. I also provide Fortran code and Matlab/Fortran mex files for my method.nb_NO
dc.language.isoengnb_NO
dc.publisherNorges Banknb_NO
dc.relation.ispartofseriesWorking Papers;18/2013
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectgeneralised Sylvester equationsnb_NO
dc.subjectsolving dynamic modelsnb_NO
dc.subjectsecond-order approximationnb_NO
dc.subjectthird-order approximationnb_NO
dc.subjectsecond-order matrix chain rulenb_NO
dc.subjectthird-order matrix chain rulenb_NO
dc.titleSolving Second and Third-Order Approximations to DSGE Models: A Recursive Sylvester Equation Solutionnb_NO
dc.typeWorking papernb_NO
dc.description.versionpublishedVersionnb_NO
dc.subject.nsiVDP::Samfunnsvitenskap: 200::Økonomi: 210::Samfunnsøkonomi: 212nb_NO
dc.source.pagenumber49nb_NO


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