Showing 1 - 10 of 13,222
using four different approaches: second- and third-order perturbation, Chebyshev polynomials, and value function iteration … while being several orders of magnitude faster to run. Therefore, we conclude that perturbation methods are an attractive …
Persistent link: https://www.econbiz.de/10009319470
-order perturbation, Chebyshev polynomials, and value function iteration. We document the performance of the methods in terms of computing … time, implementation complexity, and accuracy. Our main finding is that a third-order perturbation is competitive in terms …. Therefore, we conclude that perturbation methods are an attractive approach for computing this class of problems. …
Persistent link: https://www.econbiz.de/10004991345
-varying disaster risk with perturbation, Taylor projection, and Smolyak collocation. Our main finding is that Taylor projection …
Persistent link: https://www.econbiz.de/10012215348
‐varying disaster risk with perturbation, Taylor projection, and Smolyak collocation. Our main finding is that Taylor projection …
Persistent link: https://www.econbiz.de/10011994514
differential version - and on a scalar perturbation of the support of the entire history of shocks. The resulting solution for any …
Persistent link: https://www.econbiz.de/10010904232
techniques that increase the accuracy of perturbation methods: a change of variables and a hybrid of local and global solutions …
Persistent link: https://www.econbiz.de/10014025715
-order perturbation method. The simulation results of impulse responses and second moments match the standardized features of incomplete …
Persistent link: https://www.econbiz.de/10005112765
This paper describes in detail the algorithm implemented in Dynare for computing the first order approximated solution of a nonlinear rational expectations model. The core of the algorithm is a generalized Schur decomposition (also known as the QZ decomposition), as advocated by several authors...
Persistent link: https://www.econbiz.de/10008914212
Local (perturbation) methods compute solutions in one point and tend to deliver far lower accuracy levels than global … solution methods. We develop a hybrid method that solves for some policy functions locally (using a perturbation method) and …
Persistent link: https://www.econbiz.de/10009017942
We introduce the market resources method (MRM) for solving dynamic optimization problems. MRM extends Carroll's (2006) endogenous grid point method (EGM) for problems with more than one control variable using policy function iteration. The MRM algorithm is simple to implement and provides...
Persistent link: https://www.econbiz.de/10011696304