The method of endogenous gridpoints for solving dynamic stochastic optimization problems

  • This 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. Klassifikation: C6, D9, E2 . July 28, 2005.

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Metadaten
Author:Christopher D. Carroll
URN:urn:nbn:de:hebis:30-14331
Parent Title (German):Center for Financial Studies (Frankfurt am Main): CFS working paper series ; No. 2005,18
Series (Serial Number):CFS working paper series (2005, 18)
Document Type:Working Paper
Language:English
Year of Completion:2005
Year of first Publication:2005
Publishing Institution:Universit├Ątsbibliothek Johann Christian Senckenberg
Release Date:2005/09/05
Tag:Dynamic Optimization; Endogenous Gridpoints; Liquidity Constraints; Precautionary Saving; Stochastic Growth Model
GND Keyword:Stochastische dynamische Optimierung
Issue:July 28, 2005
HeBIS-PPN:197419097
Institutes:Wissenschaftliche Zentren und koordinierte Programme / Center for Financial Studies (CFS)
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Licence (German):License LogoDeutsches Urheberrecht