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.
Author: | Christopher D. Carroll |
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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: | Universitätsbibliothek 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): | Deutsches Urheberrecht |