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dc.contributor.authorCarroll, Christopher D.en_US
dc.date.accessioned2006-08-07en_US
dc.date.accessioned2009-07-24T13:47:40Z-
dc.date.available2009-07-24T13:47:40Z-
dc.date.issued2005en_US
dc.identifier.piurn:nbn:de:hebis:30-14331-
dc.identifier.urihttp://hdl.handle.net/10419/25458-
dc.description.abstractThis paper introduces a method for solving numerical dynamic stochastic optimization problems that avoids rootfinding operations. The idea is applicable to many microeconomic and macroeconomic problems, including life cycle, buffer-stock, and stochastic growth problems. Software is provided.en_US
dc.language.isoengen_US
dc.publisherCenter for Financial Studies Frankfurt, Mainen_US
dc.relation.ispartofseriesCFS Working Paper 2005/18en_US
dc.subject.jelC6en_US
dc.subject.jelD9en_US
dc.subject.jelE2en_US
dc.subject.ddc330en_US
dc.subject.keywordDynamic optimizationen_US
dc.subject.keywordprecautionary savingen_US
dc.subject.keywordstochastic growth modelen_US
dc.subject.keywordendogenous gridpointsen_US
dc.subject.keywordliquidity constraintsen_US
dc.subject.stwStochastischer Prozessen_US
dc.subject.stwMathematische Optimierungen_US
dc.subject.stwTheorieen_US
dc.titleThe method of endogenous gridpoints for solving dynamic stochastic optimization problemsen_US
dc.typeWorking Paperen_US
dc.identifier.ppn515323896en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.identifier.repecRePEc:zbw:cfswop:200518-
Appears in Collections:CFS Working Paper Series, Universität Frankfurt a. M.

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