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Adaptive Learning as a Propagation Mechanism

Author

Listed:
  • Bruce Preston

    (Columbia University)

  • Stefano Eusepi

    (Federal Reserve Bank of New York)

Abstract

Finally, following Smith (1993), we estimate the model using indirect inference methods. The empirical implications of the model both under learning and rational expectations are explored. Furthermore, we test the relative importance of various model frictions and learning dynamics in capturing the volatility and persistence of observed macroeconomic data.

Suggested Citation

  • Bruce Preston & Stefano Eusepi, 2007. "Adaptive Learning as a Propagation Mechanism," 2007 Meeting Papers 954, Society for Economic Dynamics.
    • Handle: RePEc:red:sed007:954
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    References listed on IDEAS

    as
    1. Marcet, Albert & Sargent, Thomas J., 1989. "Convergence of least squares learning mechanisms in self-referential linear stochastic models," Journal of Economic Theory, Elsevier, vol. 48(2), pages 337-368, August.
    2. Cogley, Timothy & Nason, James M, 1995. "Output Dynamics in Real-Business-Cycle Models," American Economic Review, American Economic Association, vol. 85(3), pages 492-511, June.
    3. Smith, A A, Jr, 1993. "Estimating Nonlinear Time-Series Models Using Simulated Vector Autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 63-84, Suppl. De.
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