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
Authors:	Carroll, Christopher D.
Publisher:	Baltimore, MD : The Johns Hopkins University, Department of Economics
Subject:	Stochastischer Prozess \| Mathematische Optimierung \| Theorie \| Dynamic optimization \| precautionary saving \| stochastic growth model \| endogenous gridpoints \| liquidity constraints

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Series:	Working Paper ; 520
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	49275957X [GVK] hdl:10419/72020 [Handle]
Classification:	C6 - Mathematical Methods and Programming ; D9 - Intertemporal Choice and Growth ; E2 - Consumption, Saving, Production, Employment, and Investment
Source:	EconStor

Persistent link: https://www.econbiz.de/10010293486