The method of endogenous gridpoints for solving dynamic stochastic optimization problems

被引:158
|
作者
Carroll, CD [1 ]
机构
[1] Johns Hopkins Univ, Dept Econ, Baltimore, MD 21218 USA
关键词
dynamic optimization; precautionary saving; stochastic growth model; endogenous gridpoints; liquidity constraints;
D O I
10.1016/j.econlet.2005.09.013
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper introduces a solution method for 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. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:312 / 320
页数:9
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