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dc.contributor.authorRENDAHL, Pontus
dc.date.accessioned2008-11-25T09:26:35Z
dc.date.available2008-11-25T09:26:35Z
dc.date.issued2007
dc.identifier.citationFlorence, European University Institute, 2007
dc.identifier.urihttp://hdl.handle.net/1814/9867
dc.descriptionExamining Board: Prof. Stefania Albanesi, Columbia University Prof. Giancarlo Corsetti, EUI Prof. John Hassler, Stockholm University Prof. Morten Ravn, EUI, Supervisoren
dc.descriptionDefence date: 13 November 2007
dc.description.abstractThis thesis contains several lines of research conducted during my four years at the European University Institute. It deals with two distinct topics in the area of recursive economies, developed in three chapters. The first chapter considers a general class of recursive models in which inequality constraints pose a challenging problem: Standard Dynamic Programming techniques often necessitate a non established differentiability of the value function, while Euler equation based techniques have problematic or unknown convergence properties. The second chapter studies a model of optimal redistribution policies in which agents face unemployment risk and in which savings may provide partial self-insurance. Moral hazard arises as job search effort is unobservable. The optimal redistribution policies provide new insights into how an unemployment insurance scheme should be designed. The third chapter studies a very similar model to that explored in Chapter 2. In contrast, however, I impose a liquidity constraint that limits agents' possibility to borrow. As will be shown, this additional constraint will have salient quantitative implication on how an optimal unemployment insurance programme should be designed.en
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.relation.ispartofseriesEUI PhD thesesen
dc.relation.ispartofseriesDepartment of Economicsen
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.lcshRecursive functions
dc.subject.lcshMacroeconomics
dc.titleEssays in Recursive Macroeconomicsen
dc.typeThesisen
dc.identifier.doi10.2870/22151en
dc.neeo.contributorRENDAHL|Pontus|aut|
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