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Evaluating interest rate rules in an estimated DSGE model

  • Vasco Cúrdia
  • Andrea Ferrero
  • Ging Cee Ng
  • Andrea Tambalotti

The empirical DSGE (dynamic stochastic general equilibrium) literature pays surprisingly little attention to the behavior of the monetary authority. Alternative policy rule specifications abound, but their relative merit is rarely discussed. We contribute to filling this gap by comparing the fit of a large set of interest rate rules (fifty-five in total), which we estimate within a simple New Keynesian model. We find that specifications in which monetary policy responds to inflation and to deviations of output from its efficient level—the one that would prevail in the absence of distortions—have the worst fit within the set we consider. Policies that respond to measures of the output gap based on statistical filters perform better, but the best-fitting rules are those that also track the evolution of the model-consistent efficient real interest rate.

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Paper provided by Federal Reserve Bank of New York in its series Staff Reports with number 510.

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Date of creation: 2011
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Handle: RePEc:fip:fednsr:510
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  1. Thomas Laubach & John C. Williams, 2003. "Measuring the Natural Rate of Interest," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1063-1070, November.
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  8. Emi Nakamura & Jón Steinsson, 2008. "Five Facts about Prices: A Reevaluation of Menu Cost Models," The Quarterly Journal of Economics, MIT Press, vol. 123(4), pages 1415-1464, November.
  9. Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2007. "Natural rate measures in an estimated DSGE model of the U.S. economy," Finance and Economics Discussion Series 2007-08, Board of Governors of the Federal Reserve System (U.S.).
  10. Athanasios Orphanides & Simon van Norden, 1999. "The reliability of output gap estimates in real time," Finance and Economics Discussion Series 1999-38, Board of Governors of the Federal Reserve System (U.S.).
  11. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-86, September.
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