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Monetary policy analysis with potentially misspecified models

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Author Info
Marco Del Negro
Frank Schorfheide

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Abstract

The paper proposes a novel method for conducting policy analysis with potentially misspecified dynamic stochastic general equilibrium (DSGE) models and applies it to a New Keynesian DSGE model along the lines of Christiano, Eichenbaum, and Evans (JPE2005) and Smets and Wouters (JEEA2003). We first quantify the degree of model misspecification and then illustrate its implications for the performance of different interest-rate feedback rules. We find that many of the prescriptions derived from the DSGE model are robust to model misspecification.

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Paper provided by Federal Reserve Bank of Philadelphia in its series Working Papers with number 06-4.

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Date of creation: 2005
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Handle: RePEc:fip:fedpwp:06-4

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Keywords: Monetary policy;

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This paper has been announced in the following NEP Reports: References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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  24. Marco Del Negro & Frank Schorfheide, 2004. "Policy predictions if the model doesn’t fit," Working Paper 2004-38, Federal Reserve Bank of Atlanta. [Downloadable!]
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  25. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-70, November. [Downloadable!] (restricted)
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  30. Del Negro, Marco & Schorfheide, Frank & Smets, Frank & Wouters, Rafael, 2007. "On the Fit of New Keynesian Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 123-143, April. [Downloadable!] (restricted)
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  32. Alejandro Justiniano & Northwestern University, 2006. "The Time Varying Volatility of Macroeconomic Fluctuations," Computing in Economics and Finance 2006 219, Society for Computational Economics. [Downloadable!]
  33. Thomas Lubik & Frank Schorfheide, 2005. "A Bayesian Look at New Open Economy Macroeconomics," Economics Working Paper Archive 521, The Johns Hopkins University,Department of Economics. [Downloadable!]
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  35. Glenn D. Rudebusch, 2001. "Is The Fed Too Timid? Monetary Policy In An Uncertain World," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 203-217, May. [Downloadable!] (restricted)
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  36. John B. Taylor, 1999. "Monetary Policy Rules," NBER Books, National Bureau of Economic Research, Inc, number tayl99-1, September.
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  39. Timothy Cogley & Thomas J. Sargent, 2005. "The conquest of US inflation: Learning and robustness to model uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 528-563, April. [Downloadable!] (restricted)
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  40. Alan S. Blinder & Ricardo Reis, 2005. "Understanding the Greenspan Standard," Working Papers 88, Princeton University, Department of Economics, Center for Economic Policy Studies.. [Downloadable!]
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  47. Frank Smets & Rafael Wouters, 2002. "An estimated stochastic dynamic general equilibrium model of the euro area," Working Paper Series 171, European Central Bank. [Downloadable!]
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Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Timothy Kam & Kirdan Lees & Philip Liu, 2006. "Uncovering The Hit-List For Small Inflation Targeters: A Bayesian Structural Analysis," CAMA Working Papers 2006-24, Australian National University, Centre for Applied Macroeconomic Analysis. [Downloadable!]
    Other versions:
  2. Oleg Korenok & Stanislav Radchenko & Norman R. Swanson, 2006. "International Evidence on the Efficacy of new-Keynesian Models of Inflation Persistence," Working Papers 0602, VCU School of Business, Department of Economics. [Downloadable!]
    Other versions:
  3. Guido W. Imbens & Whitney Newey & Geert Ridder, 2006. "Mean-squared-error Calculations for Average Treatment Effects," IEPR Working Papers 06.57, Institute of Economic Policy Research (IEPR). [Downloadable!]
  4. Norman Swanson & Oleg Korenok, 2006. "The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models Versus Simple Linear Alternatives," Departmental Working Papers 200615, Rutgers University, Department of Economics. [Downloadable!]
  5. Tovar, Camilo Ernesto, 2008. "DSGE Models and Central Banks," Economics Discussion Papers 2008-30, Kiel Institute for the World Economy. [Downloadable!]
    Other versions:
  6. Matthias Mohr, 2005. "A Trend-Cycle(-Season) Filter," Econometrics 0508004, EconWPA. [Downloadable!]
    Other versions:
  7. Marco Del Negro & Frank Schorfheide, 2004. "Policy predictions if the model doesn’t fit," Working Paper 2004-38, Federal Reserve Bank of Atlanta. [Downloadable!]
    Other versions:
  8. Moon, Hyungsik Roger & Schorfheide, Frank, 2006. "Boosting Your Instruments: Estimation with Overidentifying Inequality Moment Conditions," CEPR Discussion Papers 5605, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
    Other versions:
  9. Norman Swanson & Oleg Korenok, 2006. "How Sticky Is Sticky Enough? A Distributional and Impulse Response Analysis of New Keynesian DSGE Models. Extended Working Paper Version," Departmental Working Papers 200612, Rutgers University, Department of Economics. [Downloadable!]
  10. Marco Del Negro & Frank Schorfheide, 2008. "Inflation dynamics in a small open-economy model under inflation targeting: some evidence from Chile," Staff Reports 329, Federal Reserve Bank of New York. [Downloadable!]
    Other versions:
  11. Fanelli, Luca, 2007. "Evaluating the New Keynesian Phillips Curve under VAR-based learning," MPRA Paper 1616, University Library of Munich, Germany. [Downloadable!]
    Other versions:
  12. Katrin Tinn, 2005. "Optimal research in financial markets with heterogeneous private information a rational expectations model," Working Paper Series 493, European Central Bank. [Downloadable!]
    Other versions:
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