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 cy
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
Series (Serial Number):CFS working paper series (2005, 18)
Document Type:Working Paper
Language:English
Date of Publication (online):2005/09/05
Year of first Publication:2005
Publishing Institution:Univ.-Bibliothek Frankfurt am Main
Release Date:2005/09/05
Tag:Dynamic Optimization ; Endogenous Gridpoints ; Liquidity Constraints; Precautionary Saving ; Stochastic Growth Model
Source:CFS working paper ; 2005,18
HeBIS PPN:197419097
Institutes:Center for Financial Studies (CFS)
Dewey Decimal Classification:330 Wirtschaft
Sammlungen:Universitätspublikationen
Licence (German):License Logo Veröffentlichungsvertrag für Publikationen

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