A Simple but Powerful Simulated Certainty Equivalent Approximation Method for Dynamic Stochastic Problems
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.
Published Versions
Yongyang Cai & Kenneth L. Judd, 2023. "A simple but powerful simulated certainty equivalent approximation method for dynamic stochastic problems," Quantitative Economics, Econometric Society, vol. 14(2), pages 651-687, May. citation courtesy of 
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