A Cluster-Grid Projection Method: Solving Problems with High Dimensionality

Kenneth Judd, Lilia Maliar and Serguei Maliar

No 15965, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: 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.

JEL-codes: C02 C63 (search for similar items in EconPapers)
Date: 2010-05
Note: EFG TWP
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Citations: View citations in EconPapers (25)

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