Abstract
Local (perturbation) methods compute solutions in one point and tend to deliver far lower accuracy levels than global solution methods. We develop a hybrid method that solves for some policy functions locally (using a perturbation method) and that solves for the other policy functions globally (using closed-form expressions and a numerical solver). We applied our hybrid method to solve large-scale RBC models used in the comparison analysis of Kollmann et al. (J Econ Dyn Control 35:186–202, 2011b). We obtain more accurate solutions than those produced by any other (either local or global) solution method participating in that comparison. Our running time is a few seconds.
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Maliar, L., Maliar, S. & Villemot, S. Taking Perturbation to the Accuracy Frontier: A Hybrid of Local and Global Solutions. Comput Econ 42, 307–325 (2013). https://doi.org/10.1007/s10614-012-9342-y
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DOI: https://doi.org/10.1007/s10614-012-9342-y