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A Simple but Powerful Simulated Certainty Equivalent Approximation Method for Dynamic Stochastic Problems / Yongyang Cai, Kenneth L. Judd.

NBER Working papers Available online

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Format:
Book
Author/Creator:
Cai, Yongyang.
Contributor:
National Bureau of Economic Research.
Judd, Kenneth L.
Series:
Working Paper Series (National Bureau of Economic Research) no. w28502.
NBER working paper series no. w28502
Language:
English
Physical Description:
1 online resource: illustrations (black and white);
Place of Publication:
Cambridge, Mass. National Bureau of Economic Research 2021.
Summary:
We introduce a novel simulated certainty equivalent approximation (SCEQ) method for solving dynamic stochastic problems. Our examples show that this method only requires a desktop computer to solve high-dimensional finite- or infinite-horizon, stationary or nonstationary dynamic stochastic problems with hundreds of state variables, a wide state space, and occasionally binding constraints. The SCEQ method is simple, stable, and efficient, which makes it suitable for solving complex economic problems that cannot be solved by other algorithms.
Notes:
Print version record
February 2021.

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