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Solving the Stochastic Growth Model by Deterministic Extended Path

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  • Gagnon, Joseph E

Abstract

This article describes the use of the deterministic version of the extended-path algorithm to solve the simple stochastic growth model. The article also discusses the two sources of approximation error inherent in this method. It is demonstrated that the error due to numerical iterations is small. No general conclusion can be reached on the error that arises from the algorithm's treatment of expectations. In at least two specific cases, however, this error appears to be small.

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Bibliographic Info

Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 8 (1990)
Issue (Month): 1 (January)
Pages: 35-36

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Handle: RePEc:bes:jnlbes:v:8:y:1990:i:1:p:35-36

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Cited by:
  1. David R.F. Love, 2009. "Aggregate Comovements, Anticipation, and Business Cycles," Working Papers 0908, Brock University, Department of Economics.
  2. Jeffrey C. Fuhrer & C. Hoyt Bleakley, . "Computationally Efficient Solution and Maximum Likelihood Estimation of Nonlinear Rational Expectations Models," Computing in Economics and Finance 1997 35, Society for Computational Economics.
  3. S. Sirakaya & Stephen Turnovsky & M. Alemdar, 2006. "Feedback Approximation of the Stochastic Growth Model by Genetic Neural Networks," Computational Economics, Society for Computational Economics, vol. 27(2), pages 185-206, May.
  4. Schmidt, Sebastian & Wieland, Volker, 2012. "The new keynesian approach to dynamic general equilibrium modeling: Models, methods, and macroeconomic policy evaluation," IMFS Working Paper Series 52, Institute for Monetary and Financial Stability (IMFS), Goethe University Frankfurt.
  5. Yazid Dissou & Lilia Karnizova, 2012. "Emissions Cap or Emissions Tax? A Multi-sector Business Cycle Analysis," Working Papers 1210E, University of Ottawa, Department of Economics.
  6. Den Haan, Wouter J. & De Wind, Joris, 2012. "Nonlinear and stable perturbation-based approximations," Journal of Economic Dynamics and Control, Elsevier, vol. 36(10), pages 1477-1497.
  7. David R.F. Love, 2008. "A Note on the Accuracy of Extended-Path Solution Methods for Dynamic General Equilibrium Economies," Working Papers 0801, Brock University, Department of Economics, revised Apr 2008.
  8. Dissou, Yazid & Mac Leod, Carolyn & Souissi, Mokhtar, 2002. "Compliance costs to the Kyoto Protocol and market structure in Canada: a dynamic general equilibrium analysis," Journal of Policy Modeling, Elsevier, vol. 24(7-8), pages 751-779, November.
  9. David R.F. Love & Jean-Francois Lamarche, 2004. "Anticipation and Real Business Cycles," Working Papers 0703, Brock University, Department of Economics, revised Sep 2007.
  10. David R.F. Love, 2009. "Accuracy of Deterministic Extended-Path Solution Methods for Dynamic Stochastic Optimization Problems in Macroeconomics," Working Papers 0907, Brock University, Department of Economics.
  11. David R.F. Love, 2010. "Revisiting deterministic extended-path: a simple and accurate solution method for macroeconomic models," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 1(3/4), pages 309-316.

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