期刊名称:Euro Area Balance of Payments and International Investment Position Statistics
印刷版ISSN:1830-3420
电子版ISSN:1830-3439
出版年度:2014
出版社:European Central Bank
摘要:Often, numerical simuations for dynamic, stochastic models in eco-nomics are needed. Higher order methods can be attractive, but bearthe danger of generating explosive solutions in originally stationarymodels. Kim-Kim-Schaumburg-Sims (2008) proposed pruning to dealwith this challenge for second order approximations. In this paper, weprovide a theory of pruning and formulas for pruning of any order. Werelate it to results described by Judd (1998) on perturbing dynamicalsystems.