In conventional stochastic simulation algorithms, Monte Carlo integration and curve fitting are merged together and … stochastic simulation approach in which integration and curve fitting are separated. We specifically allow for the use of … achieve accuracy of solutions that is orders of magnitude higher than that of the conventional stochastic simulation …

We develop numerically stable stochastic simulation approaches for solving dynamic economic models. We rely on standard … simulation procedures to simultaneously compute an ergodic distribution of state variables, its support and the associated … decision rules. We differ from existing methods, however, in how we use simulation data to approximate decision rules. Instead …

We introduce an algorithm for solving dynamic economic models that merges stochastic simulation and projection … approaches: we use simulation to approximate the ergodic measure of the solution, we construct a fixed grid covering the support …