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Alternatives to initialize the Parameterized Expectations Algorithm

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  • Pérez, Javier J.
  • Sánchez, A. Jesús

Abstract

In this paper we analyze the convergence properties of some standard approaches to initialize the Parameterized Expectations Algorithm. We carry out a Monte Carlo experiment to compare their performance in computational terms. We do so within the framework of the standard neoclassical growth model and of the monetary model of Cooley and Hansen (Cooley, T.F., Hansen, G., 1989. The Inflation Tax in a Real Business Cycle Model. American Economic Review 79, 733-748).

Suggested Citation

  • Pérez, Javier J. & Sánchez, A. Jesús, 2009. "Alternatives to initialize the Parameterized Expectations Algorithm," Economics Letters, Elsevier, vol. 102(2), pages 116-118, February.
  • Handle: RePEc:eee:ecolet:v:102:y:2009:i:2:p:116-118
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    References listed on IDEAS

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    1. Albert Marcet & David A. Marshall, 1994. "Solving nonlinear rational expectations models by parameterized expectations: convergence to stationary solutions," Working Paper Series, Macroeconomic Issues 94-20, Federal Reserve Bank of Chicago.
    2. Cooley, Thomas F & Hansen, Gary D, 1989. "The Inflation Tax in a Real Business Cycle Model," American Economic Review, American Economic Association, pages 733-748.
    3. 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.
    4. Wouter J. Den Haan & Albert Marcet, 1994. "Accuracy in Simulations," Review of Economic Studies, Oxford University Press, vol. 61(1), pages 3-17.
    5. Lilia Maliar & Serguei Maliar, 2005. "Parameterized Expectations Algorithm: How to Solve for Labor Easily," Computational Economics, Springer;Society for Computational Economics, vol. 25(3), pages 269-274, June.
    6. Maliar, Lilia & Maliar, Serguei, 2003. "Parameterized Expectations Algorithm and the Moving Bounds," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 88-92, January.
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