Simple Monetary Policy Rules Under Model Uncertainty
AbstractUsing 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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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 1999 with number 841.
Date of creation: 01 Mar 1999
Date of revision:
Other versions of this item:
- Peter Isard & Douglas Laxton & Ann-Charlotte Eliasson, 1999. "Simple Monetary Policy Rules Under Model Uncertainty," International Tax and Public Finance, Springer, vol. 6(4), pages 537-577, November.
- Ann-Charlotte Eliasson & Peter Isard & Douglas Laxton, 1999. "Simple Monetary Policy Rules Under Model Uncertainty," IMF Working Papers 99/75, International Monetary Fund.
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