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FiPIt: A simple, fast global method for solving models with two endogenous states & occasionally binding constraints

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We propose a simple and fast fixed-point iteration algorithm (FiPIt) to obtain the global, non-linear solution of macro models with two endogenous state variables and occasionally binding constraints. This method… Click to show full abstract

We propose a simple and fast fixed-point iteration algorithm (FiPIt) to obtain the global, non-linear solution of macro models with two endogenous state variables and occasionally binding constraints. This method uses fixed-point iteration on Euler equations to avoid solving two simultaneous non-linear equations (as with the time iteration method) or creating modified state variables requiring irregular interpolation (as with the endogenous grids method). In the small-open-economy RBC and Sudden Stops models provided as examples, FiPIt is much faster than time iteration and various hybrid methods. (Copyright: Elsevier)

Keywords: binding constraints; two endogenous; simple fast; models two; iteration; occasionally binding

Journal Title: Review of Economic Dynamics
Year Published: 2020

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