This paper studies a value function iteration algorithm based on nonexpansive function approximation and Monte Carlo integration that can be applied to almost all stationary dynamic programming problems. The method can be represented using a randomized fitted Bellman operator and a corresponding...

Using a variation of the coupling from the past technique, this paper develops algorithms which generate independent observations from the stationary distributions of various dynamic economic models. These variates can be used for calibration, calculation of steady state phenomena, and...

This paper studies the income fluctuation problem without imposing bounds on utility, assets, income or consumption. We prove that the Coleman operator is a contraction mapping over the natural class of candidate consumption policies when endowed with a metric that evaluates consumption...