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Feedback Approximation of the Stochastic Growth Model by Genetic Neural Networks

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  • Sibel Sirakaya
  • Stephen Turnovsky
  • N.M. Alemdar

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  • Sibel Sirakaya & Stephen Turnovsky & N.M. Alemdar, 2005. "Feedback Approximation of the Stochastic Growth Model by Genetic Neural Networks," Working Papers UWEC-2006-03-P, University of Washington, Department of Economics, revised Jul 2005.
    • Handle: RePEc:udb:wpaper:uwec-2006-03-p
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    File URL: http://www.econ.washington.edu/user/sturn/stoc_growth_rev.pdf
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    Cited by:

    1. Lim, G.C. & McNelis, Paul D., 2008. "Computational Macroeconomics for the Open Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262123061, December.
    2. Burkhard Heer & Alfred Maußner, 2024. "Dynamic General Equilibrium Modeling," Springer Texts in Business and Economics, Springer, edition 3, number 978-3-031-51681-8, March.
    3. Adalbert Mayer, 2022. "An Agent-Based Macroeconomic Model with Endogenous Intertemporal Decision Rules," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 48(4), pages 548-579, October.
    4. G. C. Lim & Paul D. McNelis, 2006. "Fiscal and Current Account Balances in a Model with Sticky Prices and Distortionary Taxes," Melbourne Institute Working Paper Series wp2006n21, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

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