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来源类型Working Paper
规范类型报告
DOI10.3386/w15965
来源IDWorking Paper 15965
A Cluster-Grid Projection Method: Solving Problems with High Dimensionality
Kenneth L. Judd; Lilia Maliar; Serguei Maliar
发表日期2010-05-06
出版年2010
语种英语
摘要We develop a projection method that can solve dynamic economic models with a large number of state variables. A distinctive feature of our method is that it operates on the ergodic set realized in equilibrium: we simulate a model, distinguish clusters on simulated series and use the clusters' centers as a grid for projections. Making the grid endogenous to the model allows us to avoid costs associated with finding a solution in areas of state space that are never visited in equilibrium. On a standard desktop computer, we calculate linear and quadratic solutions to a multi-country growth model with up to 400 and 80 state variables, respectively. Our solutions are global, and their accuracy does not rapidly decline away from steady state.
主题Econometrics ; Microeconomics ; Mathematical Tools
URLhttps://www.nber.org/papers/w15965
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/573640
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Kenneth L. Judd,Lilia Maliar,Serguei Maliar. A Cluster-Grid Projection Method: Solving Problems with High Dimensionality. 2010.
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