Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/25458 
Year of Publication: 
2005
Series/Report no.: 
CFS Working Paper No. 2005/18
Publisher: 
Goethe University Frankfurt, Center for Financial Studies (CFS), Frankfurt a. M.
Abstract: 
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.
Subjects: 
Dynamic optimization
precautionary saving
stochastic growth model
endogenous gridpoints
liquidity constraints
JEL: 
C6
D9
E2
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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