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Calculating and Using Second Order Accurate Solutions of Discrete Time Dynamic Equilibrium Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Henry Kim
Jinill Kim
Ernst Schaumburg
Christopher A. Sims
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We describe an algorithm for calculating second order approximations to the solutions to nonlinear stochastic rational expectations models. The paper also explains methods for using such an approximate solution to generate forecasts, simulated time paths for the model, and evaluations of expected welfare differences across different versions of a model. The paper gives conditions for local validity of the approximation that allow for disturbance distributions with unbounded support and allow for non-stationarity of the solution process.
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Paper provided by Department of Economics, Tufts University in its series Discussion Papers Series, Department of Economics, Tufts University with number
0505.
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Date of creation: 2005Date of revision:
Handle: RePEc:tuf:tuftec:0505Contact details of provider: Postal: Medford, MA 02155, USA Phone: (617) 627-3560 Fax: (617) 627-3917 Web page: http://ase.tufts.edu/econ
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Kollmann, Robert, 2002.
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"Solving dynamic general equilibrium models using a second-order approximation to the policy function ,"
Journal of Economic Dynamics and Control ,
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Marc P. Giannoni & Michael Woodford, 2003.
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Computing in Economics and Finance 2003
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"Solving Large Scale Rational Expectations Models ,"
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