Solving the Stochastic Growth Model by a Discrete-State-Space, Euler-Equation Approach
提出一种计算随机动态经济近似均衡的方法，通过聚焦欧拉方程来逼近均衡决策规则，适用于非帕累托最优的广泛经济模型。
This article describes a method for computing approximate equilibria for stochastic dynamic economies. The method is of general interest because it allows straightforward computation of equilibria in a wide class of economies in which equilibrium is not Pareto optimal. The chief idea is to focus on the Euler equations that characterize equilibrium behavior. Our approach computes approximations to equilibrium decision rules. This approach is "exact" in the sense that our approximate decision rules converge to the true decision rules as the grid over which we compute the decision rules becomes arbitrarily fine.