2006
DOI: 10.1016/j.jedc.2005.08.010
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Robust inflation-forecast-based rules to shield against indeterminacy

Abstract: This paper provides a first attempt to quantify and at the same time utilize estimated measures of uncertainty for the design of robust interest rate rules. We estimate several variants of a linearized form of a New Keynesian model using quarterly US data. Both our theoretical and numerical results indicate that inflation-forecast-based (IFB) rules are increasingly prone to the problem of indeterminacy as the forward horizon increases. As a consequence the stabilization performance of optimized rules of this t… Show more

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Cited by 36 publications
(23 citation statements)
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“…This implies that fixing a short-term horizon may be an alternative to an aggressive interest rates policy. This complements earlier findings from models with sticky prices (Batini and Pearlman, 2002, Batini et al 2004, 2006, Levine et al 2007). …”
Section: Introductionsupporting
confidence: 87%
See 1 more Smart Citation
“…This implies that fixing a short-term horizon may be an alternative to an aggressive interest rates policy. This complements earlier findings from models with sticky prices (Batini and Pearlman, 2002, Batini et al 2004, 2006, Levine et al 2007). …”
Section: Introductionsupporting
confidence: 87%
“…choose a large  0 * ( * )) monetary policy or a large   if Ω  is infinite. With Lemmas 5 and 6, we conclude that reducing the forecasting horizon can be an alternative to an aggressive mon- and Batini et al (2006). The main message we can take from this is that feedback should be at a horizon less than where equilibrium is reached.…”
Section: Lemma 5 Implies That Local Indeterminacy Of Active Monetary mentioning
confidence: 73%
“…where = 0:99 is calibrated and Bayesian-estimated parameters, using US data, are = 3:91 and = 1:41 (see Batini et al 2006). All estimated rules achieve saddlepath stability, and are highly robust to variations in these values.…”
Section: Empirical Analysismentioning
confidence: 99%
“…28 Finally, using estimates for posterior model probabilities and, for each model variant, estimates of the posterior densities of the parameters, a consistently Bayesian approach to both the estimation and the design of robust interest rate rules can be employed as in Batini et al (2006).…”
mentioning
confidence: 99%