Arbeitspapier
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.
- Language
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Englisch
- Bibliographic citation
-
Series: Working Paper ; No. 520
- Classification
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Wirtschaft
- Subject
-
Dynamic optimization
precautionary saving
stochastic growth model
endogenous gridpoints
liquidity constraints
Stochastischer Prozess
Mathematische Optimierung
Theorie
- Event
-
Geistige Schöpfung
- (who)
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Carroll, Christopher D.
- Event
-
Veröffentlichung
- (who)
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The Johns Hopkins University, Department of Economics
- (where)
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Baltimore, MD
- (when)
-
2005
- Handle
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Carroll, Christopher D.
- The Johns Hopkins University, Department of Economics
Time of origin
- 2005
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