A Note on the Accuracy of Extended-Path Solution Methods for Dynamic General Equilibrium Economies
AbstractWe show that the deterministic Extended-Path (EP) method of Fair and Taylor (1983) solves standard dynamic stochastic general equilibrium models with similar accuracy to the best results reported in the literature for alternative methods. The EP method demands more computer time than other methods but has offsetting benefits in terms of simplicity and generality that make it an attractive choice.
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Bibliographic InfoPaper provided by Brock University, Department of Economics in its series Working Papers with number 0801.
Length: 13 pages
Date of creation: Apr 2008
Date of revision: Apr 2008
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Dynamic stochastic equilibrium; computational methods; non-linear solutions;
Find related papers by JEL classification:
- E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
- E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-12-14 (All new papers)
- NEP-CBA-2008-12-14 (Central Banking)
- NEP-CMP-2008-12-14 (Computational Economics)
- NEP-DGE-2008-12-14 (Dynamic General Equilibrium)
- NEP-MAC-2008-12-14 (Macroeconomics)
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.:
- Judd, Kenneth L., 1992. "Projection methods for solving aggregate growth models," Journal of Economic Theory, Elsevier, vol. 58(2), pages 410-452, December.
- Taylor, John B & Uhlig, Harald, 1990.
"Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 8(1), pages 1-17, January.
- John B. Taylor & Harald Uhlig, 1990. "Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods," NBER Working Papers 3117, National Bureau of Economic Research, Inc.
- S. Boragan Aruoba & Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez, 2003.
"Comparing Solution Methods for Dynamic Equilibrium Economies,"
PIER Working Paper Archive
04-003, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Aruoba, S. Boragan & Fernandez-Villaverde, Jesus & Rubio-Ramirez, Juan F., 2006. "Comparing solution methods for dynamic equilibrium economies," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2477-2508, December.
- S. Boragan Aruoba & Jesus Fernandez-Villaverde & Juan Francisco Rubio-Ramirez, 2003. "Comparing solution methods for dynamic equilibrium economies," Working Paper 2003-27, Federal Reserve Bank of Atlanta.
- S. B. Aruoba & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2005. "Comparing Solution Methods for Dynamic Equilibrium Economies," Levine's Bibliography 122247000000000855, UCLA Department of Economics.
- Gagnon, Joseph E, 1990. "Solving the Stochastic Growth Model by Deterministic Extended Path," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 35-36, January.
- Ray C. Fair & John B. Taylor, 1980.
"Solution and Maximum Likelihood Estimation of Dynamic Nonlinear RationalExpectations Models,"
NBER Technical Working Papers
0005, National Bureau of Economic Research, Inc.
- Fair, Ray C & Taylor, John B, 1983. "Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 51(4), pages 1169-85, July.
- Ray C. Fair & John B. Taylor, 1980. "Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models," Cowles Foundation Discussion Papers 564, Cowles Foundation for Research in Economics, Yale University.
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