Solving the Stochastic Growth Model by Linear-Quadratic Approximation
描述了一种通过泰勒展开将随机增长模型近似为线性二次最优调节器问题的方法，适合需要求解非线性动态随机模型的宏观研究者。
I describe a method that can be used to approximate the solution of the stochastic growth model. The method relies on approximating the return and transition functions of the original problem by taking second-order and first-order Taylor expansions around the steady state of the system. The result is the optimal linear regulator problem.