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dc.contributor.authorORTEGA, Evaen
dc.date.accessioned2006-06-09T08:26:52Z
dc.date.available2006-06-09T08:26:52Z
dc.date.issued1998
dc.identifier.citationFlorence : European University Institute, 1998en
dc.identifier.urihttps://hdl.handle.net/1814/5026
dc.descriptionDefence date: 7 February 1998
dc.descriptionExamining Board: Prof. Fabio Canova, Universitat Pompeu Fabra Barcelona, co-supervisor ; Prof. Tryphon Kollintzas, University of Athens ; Prof. Alfonso Novales, Universidad Complutense de Madrid ; Prof. Mark Salmon, EUI and City University London, Supervisor
dc.descriptionFirst made available online on 4 September 2018
dc.description.abstractStochastic dynamic general equilibrium models have become in recent years the central paradigm for the analysis and understanding of macroeconomic fluctuations. As Gali (1995) puts it, though early applications to business cycle models (e.g., Kydland and Prescott (1982)) were generally restricted to model economies for which technology shocks were the only sources of fluctuations, and where built-in classical assumptions guaranteed the optimality of equilibrium allocations, the flexibility of that paradigm has been illustrated in a number of recent papers which have developed models of economies characterized by the presence of non-classical features (e.g., imperfect competition as in Rotemberg and Woodford (1991), Gali (1994) or Ubide (1995) and/or alternative sources of fluctuations (e.g., shocks to government spending as in Christiano and Eichenbaum (1992) or Baxter and King (1993)). These efforts to enrich the basic framework have been conducted with the objective of improving its empirical relevance and performance.
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherEuropean University Instituteen
dc.relation.ispartofseriesEUIen
dc.relation.ispartofseriesECOen
dc.relation.ispartofseriesPhD Thesisen
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.lcshEquilibrium (Economics)
dc.titleTesting dynamic general equilibrium models : with application to calibrated and simulated business cycle modelsen
dc.typeThesisen
dc.identifier.doi10.2870/361498
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