A THEORY OF PRUNING
为经济学动态随机模型中的剪枝方法提供理论基础，推导任意阶剪枝公式，并与现有方法比较，帮助研究者避免模拟中的爆炸路径问题。
Abstract Often, numerical simulations for dynamic, stochastic models in economics are needed. Kim et al. ( Journal of Economic Dynamics and Control 32 2008, 3397–414) proposed “pruning” to deal with the challenge of generating explosive paths when employing second‐order approximations. In this article, we provide a theory of pruning and formulas for pruning of any order. Our approach builds on Judd's Numerical Methods in Economics (1998), chapter 13. We provide a comparison to existing methods.