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The Method of Endogenous Gridpoints for Solving Dynamic Stochastic Optimization Problems Author info | Abstract | Publisher info | Download info | Related research | Statistics Christopher D. Carroll () (Department of Economics, The Johns Hopkins University)
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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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Paper provided by Center for Financial Studies in its series CFS Working Paper Series with number
2005/18.
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Length: 23 pages
Date of creation: 18 Jan 2005Date of revision:
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Keywords: Dynamic optimization precautionary saving stochastic growth model endogenous gridpoints liquidity constraints Other versions of this item:
Find related papers by JEL classification: C6 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming D9 - Microeconomics - - Intertemporal Choice and Growth E2 - Macroeconomics and Monetary Economics - - Macroeconomics: Consumption, Saving, Production, Employment, and Investment
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Christopher D. Carroll, 2004.
"Theoretical Foundations of Buffer Stock Saving ,"
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517, The Johns Hopkins University,Department of Economics.
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Econometric Society, vol. 59(5), pages 1221-48, September.
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