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dc.contributor.authorCANOVA, Fabio 
dc.date.accessioned2015-01-22T13:48:21Z
dc.date.available2015-01-22T13:48:21Z
dc.date.issued2014
dc.identifier.citationJournal of Monetary Economics, 2014, Vol. 67, pp. 1-15en
dc.identifier.issn0304-3932
dc.identifier.urihttp://hdl.handle.net/1814/34308
dc.descriptionFirst published online on July 1, 2014en
dc.description.abstractA 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 located solely at business cycle frequencies, allows the non-model-based component to take various time series patterns, and permits certain types of model misspecification. Applying standard data transformations induces 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.en
dc.language.isoenen
dc.relation.ispartofJournal of Monetary Economicsen
dc.titleBridging DSGE models and the raw dataen
dc.typeArticleen
dc.identifier.doi10.1016/j.jmoneco.2014.06.003
dc.identifier.volume67en
dc.identifier.startpage1en
dc.identifier.endpage15en
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