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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- Christopher D. Carroll, 2004.
"Theoretical Foundations of Buffer Stock Saving,"
Economics Working Paper Archive
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- Carroll, Christopher D., 2011. "Theoretical foundations of buffer stock saving," CFS Working Paper Series 2011/15, Center for Financial Studies (CFS).
- Christopher Carroll, 2004. "Theoretical Foundations of Buffer Stock Saving," NBER Working Papers 10867, National Bureau of Economic Research, Inc.
- Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, July.
- Deaton, Angus, 1991. "Saving and Liquidity Constraints," Econometrica, Econometric Society, vol. 59(5), pages 1221-1248, September.
- Deaton, A., 1989. "Saving And Liquidity Constraints," Papers 153, Princeton, Woodrow Wilson School - Public and International Affairs.
- 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.
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