Structural Macroeconometrics

dc.creatorDavid N. Dejong And Chetan Dave
dc.date.accessioned2023-02-21T19:30:44Z
dc.date.accessioned2023-03-07T18:56:56Z
dc.date.available2023-02-21T19:30:44Z
dc.date.available2023-03-07T18:56:56Z
dc.date.created2023-02-21T19:30:44Z
dc.identifier10228.pdf
dc.identifier1- GENERAL
dc.identifier978-0-691-15287-5
dc.identifier10228
dc.identifier6109
dc.identifierCG10228
dc.identifierhttps://repositorio.ccc.org.co/handle/001/930
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5896094
dc.description.abstract- In this book, the authors expand their excellent coverage of the tools macroeconomists use to solve, evaluate, and estimate models. Linear and nonlinear solution methods are crefully described and help the reader easily undestand alternative approaches, and advanced empirical tools are crearly presented. The coverage of econometric tachniques is up to date, extensive, and designed to lead seamlessly from the specification of structural models to their empirical evaluation. - Carl Walsh.
dc.languageeng
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCasting models in canonical form
dc.subjectDSGE Models: Three examples
dc.subjectModel Solution Techniques
dc.subjectNonlinear Solution Techniques
dc.subjectData preparation and representation
dc.subjectSummarizing time series behaviour when all variables are observable
dc.subjectState - Space representations
dc.subjectMonte Carlo methods
dc.subjectLikelihood evaluation and filtering in State - Space representations using sequential Monte Carlo methods.
dc.subjectEmpirical methods.
dc.subjectMatching moments
dc.subjectMaximun likelihood
dc.subjectBayesian methods
dc.titleStructural Macroeconometrics
dc.typeLibro


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