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dc.contributor.authorBYSTROV, Victor
dc.date.accessioned2009-01-26T17:27:16Z
dc.date.available2009-01-26T17:27:16Z
dc.date.issued2008
dc.identifier.citationFlorence : European University Institute, 2008en
dc.identifier.urihttps://hdl.handle.net/1814/10314
dc.descriptionFirst made available online 2 June 2015.
dc.descriptionDefence date: 6 March 2008en
dc.descriptionExamining Board: Supervisor: Anindya Banerjee Second reader: Helmut Luetkepohlen
dc.description.abstractThis thesis addresses the issue of the relative performance of dynamic factor models in finite samples in the presence of structural breaks. It extends an existing literature by considering new data sets and evaluating finite sample properties of dynamic factor models and factor-augmented VARs and VECMs in Monte Carlo exercises. Chapter 1 Forecasting Emerging Market Indicators: Brazil and Russia Chapter 2 Co-Breaking and Forecasting Performance of Factor Models Chapter 3 Factor Augmented Error Correction Modelsen
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.lcshEconometrics
dc.titleDynamic factor models in estimation and forecastingen
dc.typeThesisen
dc.identifier.doi10.2870/891984
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