Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/72020 
Year of Publication: 
2005
Series/Report no.: 
Working Paper No. 520
Publisher: 
The Johns Hopkins University, Department of Economics, Baltimore, MD
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
Document Type: 
Working Paper

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