Solving the Stochastic Growth Model by Parameterizing Expectations
提出一种求解单商品随机增长模型的方法，将随机欧拉方程中的条件期望参数化为状态函数，通过估计函数参数来求解模型，并讨论了参数估计和函数形式复杂度的确定方法。
This article describes a method for solving the one-good stochastic growth model by parameterizing the expectations part of the stochastic Euler equation. The conditional expectation is specified as a function of the state of the system, and the parameters of that function are estimated to solve the model. The article includes a discussion of how to find the parameters of the function and determine systematically the complexity of the functional form necessary to solve the model.