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Simple Monetary Policy Rules Under Model Uncertainty

Listed author(s):
  • Peter Isard

    ()

    (International Monetary Fund)

  • Douglas Laxton

    ()

    (International Monetary Fund)

  • Ann-Charlotte Eliasson

    ()

Using stochastic simulations and stability analysis, we compare the performances of different monetary rules in a moderately nonlinear model with those in a time-varying nonaccelerating-inflation rate-of-unemployment (NAIRU) model. Rules that perform well in linear models -- but implicitly embody backward-looking measures of real interest rates (such as conventional Taylor rules) or substantial interest rate smoothing -- perform very poorly in models with moderate nonlinearities, particularly when policymakers tend toward serially correlated errors in estimating the NAIRU. This challenges the practice of evaluating rules within linear models, which demonstrate rather unrealistic consequences to myopic responses to significant overheating.

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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 1999 with number 841.

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Date of creation: 01 Mar 1999
Handle: RePEc:sce:scecf9:841
Contact details of provider: Postal:
CEF99, Boston College, Department of Economics, Chestnut Hill MA 02467 USA

Fax: +1-617-552-2308
Web page: http://fmwww.bc.edu/CEF99/

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