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.

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Year of publication:	2005-05
Authors:	Carroll, Christopher
Institutions:	Department of Economics, Johns Hopkins University

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Extent:	application/pdf
Series:	Economics Working Paper Archive.
Type of publication:	Book / Working Paper
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005629011