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dc.contributor.authorCANOVA, Fabio
dc.contributor.authorFERRONI, Filippo
dc.contributor.authorMATTHES, Christian
dc.date.accessioned2015-01-22T14:05:40Z
dc.date.available2015-01-22T14:05:40Z
dc.date.issued2014
dc.identifier.citationJournal of Applied Econometrics, 2014, Vol. 29, No. 7, pp. 1099-1117en
dc.identifier.issn0883-7252
dc.identifier.issn1099-1255
dc.identifier.urihttps://hdl.handle.net/1814/34309
dc.descriptionArticle first published online on September 23, 2014en
dc.description.abstractWe propose two methods to choose the variables to be used in the estimation of the structural parameters of a singular DSGE model. The first selects the vector of observables that optimizes parameter identification; the second selects the vector that minimizes the informational discrepancy between the singular and non-singular model. An application to a standard model is discussed and the estimation properties of different setups compared. Practical suggestions for applied researchers are provided.en
dc.language.isoenen
dc.relation.ispartofJournal of Applied Econometricsen
dc.relation.isversionofhttp://hdl.handle.net/1814/29201
dc.titleChoosing the variables to estimate singular DSGE modelsen
dc.typeArticleen
dc.identifier.doi10.1002/jae.2414
dc.identifier.volume29en
dc.identifier.startpage1099en
dc.identifier.endpage1117en
eui.subscribe.skiptrue
dc.identifier.issue7


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