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Approximating and simulating the stochastic growth model: Parameterized expectations, neural networks, and the genetic algorithm

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Duffy, John
McNelis, Paul D.

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Article provided by Elsevier in its journal Journal of Economic Dynamics and Control.

Volume (Year): 25 (2001)
Issue (Month): 9 (September)
Pages: 1273-1303
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Handle: RePEc:eee:dyncon:v:25:y:2001:i:9:p:1273-1303

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  1. 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.
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  2. den Haan, Wouter J & Marcet, Albert, 1990. "Solving the Stochastic Growth Model by Parameterizing Expectations," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 31-34, January.
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  3. Albert Marcet, 1991. "Simulation Analysis of Dynamic Stochastic Models: Applications to Theory and Estimation," Economics Working Papers 6, Department of Economics and Business, Universitat Pompeu Fabra. [Downloadable!]
  4. Uhlig, H., 1995. "A toolkit for analyzing nonlinear dynamic stochastic models easily," Discussion Paper 97, Tilburg University, Center for Economic Research. [Downloadable!]
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  5. Beaumont, Paul M & Bradshaw, Patrick T, 1995. "A Distributed Parallel Genetic Algorithm for Solving Optimal Growth Models," Computational Economics, Springer, vol. 8(3), pages 159-79, August.
  6. Cooley, Thomas F & Hansen, Gary D, 1989. "The Inflation Tax in a Real Business Cycle Model," American Economic Review, American Economic Association, vol. 79(4), pages 733-48, September. [Downloadable!] (restricted)
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  7. Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January. [Downloadable!] (restricted)
  8. Den Haan, Wouter J & Marcet, Albert, 1994. "Accuracy in Simulations," Review of Economic Studies, Blackwell Publishing, vol. 61(1), pages 3-17, January. [Downloadable!] (restricted)
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  9. Dorsey, Robert E & Mayer, Walter J, 1995. "Genetic Algorithms for Estimation Problems with Multiple Optima, Nondifferentiability, and Other Irregular Features," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 53-66, January.
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  10. Tauchen, George, 1990. "Solving the Stochastic Growth Model by Using Quadrature Methods and Value-Function Iterations," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 49-51, January.
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  1. Richard Dennis, 2008. "The Frequency Of Price Adjustment And New Keynesian Business Cycle Dynamics," CAMA Working Papers 2008-19, Australian National University, Centre for Applied Macroeconomic Analysis. [Downloadable!]
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  2. S. Sirakaya & Stephen Turnovsky & M. Alemdar, 2006. "Feedback Approximation of the Stochastic Growth Model by Genetic Neural Networks," Computational Economics, Springer, vol. 27(2), pages 185-206, May. [Downloadable!] (restricted)
    Other versions:
  3. Burkhard Heer & Alfred Maussner, 2004. "Computation of Business Cycle Models: A Comparison of Numerical Methods," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
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  4. Richard Dennis, 2004. "Specifying and estimating New Keynesian models with instrument rules and optimal monetary policies," Working Papers in Applied Economic Theory 2004-17, Federal Reserve Bank of San Francisco. [Downloadable!]
  5. G.C. Lim & Paul D. McNelis, 2001. "Central Bank Learning, Terms of Trade Shocks & Currency Risk: Should Exchange Rate Volatility Matter for Monetary Policy?," Boston College Working Papers in Economics 509, Boston College Department of Economics. [Downloadable!]
  6. Javier J. Pérez, 2001. "A Log-linear Homotopy Approach to Initialize the Parameterized Expectations Algorithm," Economic Working Papers at Centro de Estudios Andaluces E2001/02, Centro de Estudios Andaluces. [Downloadable!]
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  7. G. Lim & Paul Mcnelis, 2006. "Central Bank Learning and Taylor Rules with Sticky Import Prices," Computational Economics, Springer, vol. 28(2), pages 155-175, September. [Downloadable!] (restricted)
  8. Floortje Alkemade & Han Poutré & Hans Amman, 2006. "Robust Evolutionary Algorithm Design for Socio-economic Simulation," Computational Economics, Springer, vol. 28(4), pages 355-370, November. [Downloadable!] (restricted)
  9. G. C. Lim & Paul D. McNelis, 2006. "Inflation Targeting, Learning and Q Volatility in Small Open Economies," Melbourne Institute Working Paper Series wp2006n22, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne. [Downloadable!]
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  10. Paul McNelis & Peter McAdam, 2004. "Forecasting inflation with thick models and neural networks," Working Paper Series 352, European Central Bank. [Downloadable!]
    Other versions:
  11. G. C. LIM & PAUL D. McNELIS, 2002. "Central Bank Learning, Terms Of Trade Shocks & Currency Risks: Should Only Inflation Matter For Monetary Policy?," Department of Economics - Working Papers Series 831, The University of Melbourne. [Downloadable!]
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