Bridging DSGE models and the raw data
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- dc.contributor.author Canova, Fabioca
- dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
- dc.date.accessioned 2017-07-26T10:50:59Z
- dc.date.available 2017-07-26T10:50:59Z
- dc.date.issued 2008-11-01
- dc.date.modified 2017-07-23T02:14:24Z
- dc.description.abstract A method to estimate DSGE models using the raw data is proposed. The approach links the observables to the model counterparts via a flexible specification which does not require the model-based component to be solely located at business cycle frequencies, allows the non model-based component to take various time series patterns, and permits model misspecification. Applying standard data transformations induce biases in structural estimates and distortions in the policy conclusions. The proposed approach recovers important model-based features in selected experimental designs. Two widely discussed issues are used to illustrate its practical use.
- dc.format.mimetype application/pdfca
- dc.identifier https://econ-papers.upf.edu/ca/paper.php?id=1320
- dc.identifier.uri http://hdl.handle.net/10230/19905
- dc.language.iso eng
- dc.relation.ispartofseries Economics and Business Working Papers Series; 1320
- dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
- dc.subject.keyword dsge models
- dc.subject.keyword filters
- dc.subject.keyword structural estimation
- dc.subject.keyword business cycles
- dc.subject.keyword Macroeconomics and International Economics
- dc.title Bridging DSGE models and the raw dataca
- dc.type info:eu-repo/semantics/workingPaper