Mathematica and Matlab Programs for 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 InfoSoftware component provided by The Johns Hopkins University,Department of Economics in its series Economics Companion Software Archive with number 3.
Programming language: Mathematica
Date of creation: Jun 2005
Date of revision:
Other versions of this item:
- 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.
- 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
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: (None).
If references are entirely missing, you can add them using this form.