Zobrazit minimální záznam

dc.contributor.advisorKejak, Michal
dc.creatorFukač, Martin
dc.date.accessioned2018-10-02T16:53:56Z
dc.date.available2018-10-02T16:53:56Z
dc.date.issued2007
dc.identifier.urihttp://hdl.handle.net/20.500.11956/11697
dc.description.abstractImperfect Knowledge, Expectations, and Monetary Policy Martin Fukac Abstrakt v češtině - dokument nenalezencs_CZ
dc.description.abstractImperfect Knowledge, Expectations, and Monetary Policy Martin Fukac Abstract This dissertation addresses three topics: (i) recent boom of DSGE models popularity, and their use for monetary policy, (ii) imperfect knowledge, and expectations heterogeneity in DSGE models, and (iii) proximity of surveyed inflation expectations and market expectations. In the first chapter, co-authored with Adrian Pagan, we discuss three basic issues in adopting DSGE models for policy making: model design, matching the data, and operational requirements. We begin with a general discussion of the structure of dynamic stochastic general equilibrium (DSGE) models where we investigate issues like (i) the type of restrictions being imposed by DSGE models upon system dynamics, (ii) the implication these models would have for "location parameters", viz. growth rates, and (iii) whether these models can track the long-run movements in variables as well as matching dynamic adjustment. The first chapter further looks at the types of models that have been constructed in central banks for macro policy analysis. We distinguish four generations of these and detail how the emerging current generation, which are often referred to as DSGE models, differs from the previous generations. The last part of the chapter is devoted to a variety of topics...en_US
dc.languageEnglishcs_CZ
dc.language.isoen_US
dc.publisherUniverzita Karlova, Fakulta sociálních vědcs_CZ
dc.titleImperfeckt Knowledge, Expectations, and Monetary Policyen_US
dc.typedizertační prácecs_CZ
dcterms.created2007
dcterms.dateAccepted2007-12-14
dc.description.departmentCERGEcs_CZ
dc.description.facultyFaculty of Social Sciencesen_US
dc.description.facultyFakulta sociálních vědcs_CZ
dc.identifier.repId175932
dc.contributor.refereeBraun, Anton
dc.contributor.refereeVošvrda, Miloslav
dc.identifier.aleph002069780
thesis.degree.namePh.D.
thesis.degree.leveldoktorskécs_CZ
thesis.degree.disciplineEconomicsen_US
thesis.degree.disciplineEkonomiecs_CZ
thesis.degree.programEkonomické teoriecs_CZ
thesis.degree.programEconomic Theoryen_US
uk.thesis.typedizertační prácecs_CZ
uk.taxonomy.organization-csFakulta sociálních věd::CERGEcs_CZ
uk.faculty-name.csFakulta sociálních vědcs_CZ
uk.faculty-name.enFaculty of Social Sciencesen_US
uk.faculty-abbr.csFSVcs_CZ
uk.degree-discipline.csEkonomiecs_CZ
uk.degree-discipline.enEconomicsen_US
uk.degree-program.csEkonomické teoriecs_CZ
uk.degree-program.enEconomic Theoryen_US
thesis.grade.csProspěl/acs_CZ
thesis.grade.enPassen_US
uk.abstract.csImperfect Knowledge, Expectations, and Monetary Policy Martin Fukac Abstrakt v češtině - dokument nenalezencs_CZ
uk.abstract.enImperfect Knowledge, Expectations, and Monetary Policy Martin Fukac Abstract This dissertation addresses three topics: (i) recent boom of DSGE models popularity, and their use for monetary policy, (ii) imperfect knowledge, and expectations heterogeneity in DSGE models, and (iii) proximity of surveyed inflation expectations and market expectations. In the first chapter, co-authored with Adrian Pagan, we discuss three basic issues in adopting DSGE models for policy making: model design, matching the data, and operational requirements. We begin with a general discussion of the structure of dynamic stochastic general equilibrium (DSGE) models where we investigate issues like (i) the type of restrictions being imposed by DSGE models upon system dynamics, (ii) the implication these models would have for "location parameters", viz. growth rates, and (iii) whether these models can track the long-run movements in variables as well as matching dynamic adjustment. The first chapter further looks at the types of models that have been constructed in central banks for macro policy analysis. We distinguish four generations of these and detail how the emerging current generation, which are often referred to as DSGE models, differs from the previous generations. The last part of the chapter is devoted to a variety of topics...en_US
uk.file-availabilityV
uk.publication.placePrahacs_CZ
uk.grantorUniverzita Karlova, Fakulta sociálních věd, CERGEcs_CZ
thesis.grade.codeP
dc.identifier.lisID990020697800106986


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Zobrazit minimální záznam


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