The Method of Endogenous Gridpoints for Solving Dynamic Stochastic Optimization Problems
AbstractThis 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by National Bureau of Economic Research, Inc in its series NBER Technical Working Papers with number 0309.
Date of creation: Jun 2005
Date of revision:
Contact details of provider:
Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Web page: http://www.nber.org
More information through EDIRC
Other versions of this item:
- Carroll, Christopher D., 2006. "The method of endogenous gridpoints for solving dynamic stochastic optimization problems," Economics Letters, Elsevier, vol. 91(3), pages 312-320, June.
- Christopher Carroll, 2005. "The Method of Endogenous Gridpoints for Solving Dynamic Stochastic Optimization Problems," Economics Working Paper Archive 520, The Johns Hopkins University,Department of Economics.
- Carroll, Christopher D., 2005. "The method of endogenous gridpoints for solving dynamic stochastic optimization problems," CFS Working Paper Series 2005/18, Center for Financial Studies (CFS).
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- D9 - Microeconomics - - Intertemporal Choice
- E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-06-14 (All new papers)
- NEP-CMP-2005-06-14 (Computational Economics)
- NEP-DEV-2005-06-14 (Development)
- NEP-MAC-2005-06-14 (Macroeconomics)
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.:
- Angus Deaton, 1989.
"Saving and Liquidity Constraints,"
NBER Working Papers
3196, National Bureau of Economic Research, Inc.
- den Haan, Wouter J & Marcet, Albert, 1990.
"Solving the Stochastic Growth Model by Parameterizing Expectations,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 8(1), pages 31-34, January.
- Wouter Denhaan & Albert Marcet, 1990. "FORTRAN code for Simulation Parameterized Expecations Algorithm," QM&RBC Codes 57, Quantitative Macroeconomics & Real Business Cycles.
- Christopher Carroll, 2004.
"Theoretical Foundations of Buffer Stock Saving,"
NBER Working Papers
10867, National Bureau of Economic Research, Inc.
- Carroll, Christopher D., 2011. "Theoretical foundations of buffer stock saving," CFS Working Paper Series 2011/15, Center for Financial Studies (CFS).
- Christopher D. Carroll, 2004. "Theoretical Foundations of Buffer Stock Saving," Economics Working Paper Archive 517, The Johns Hopkins University,Department of Economics.
- Christopher D. Carroll, 2009. "Theoretical Foundations of Buffer Stock Saving," 2009 Meeting Papers 210, Society for Economic Dynamics.
- Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, January.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.