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Monetary Policy and Potential Output Uncertainty: A Quantitative Assessment

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Author Info
Simona Delle Chiaie () (University of Rome, Tor Vergata)
Abstract

This paper contributes to the recent literature that studies the quantitative implications of the imperfect information about potential output for the conduct of monetary policy. By means of Bayesian techniques, a small New Keynesian model is estimated taking explicitly account of the imperfect information problem. The estimation of the structural parameters and of the monetary authorities.objectives is key in assessing the quantitative relevance of the imperfect information problem and in evaluating the robustness of previous exercises based on calibration. Finally, the model allows us to analyse the usefulness of unit labor costs as monetary policy indicator.

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Paper provided by Tor Vergata University, CEIS in its series CEIS Research Paper with number 94.

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Length: 34
Date of creation: 20 Feb 2007
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Handle: RePEc:rtv:ceisrp:94

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Postal: CEIS - Centre for Economic and International Studies - Faculty of Economics - University of Rome "Tor Vergata" - Via Columbia, 2 00133 Roma
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  2. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October. [Downloadable!] (restricted)
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  3. Ehrmann, M. & Smets, F., 2001. "Uncertain Potential Output: Implications for Monetary Policy," Papers 59, Quebec a Montreal - Recherche en gestion.
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  4. Gali, Jordi & Gertler, Mark & Lopez-Salido, J. David, 2001. "European inflation dynamics," European Economic Review, Elsevier, vol. 45(7), pages 1237-1270. [Downloadable!] (restricted)
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  5. Lippi, Francesco & Neri, Stefano, 2007. "Information variables for monetary policy in an estimated structural model of the euro area," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1256-1270, May. [Downloadable!] (restricted)
  6. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Working Paper Series WP-01-08, Federal Reserve Bank of Chicago. [Downloadable!]
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  7. Julio Rotemberg & Michael Woodford, 1997. "An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 297-361 National Bureau of Economic Research, Inc. [Downloadable!]
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  9. Jesús Fernández-Villaverde & Juan F. Rubio, 2003. "Comparing Dynamic Equilibrium Economies to Data," Levine's Bibliography 506439000000000309, UCLA Department of Economics. [Downloadable!]
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  10. Kevin J. Lansing, 2002. "Learning about a shift in trend output: implications for monetary policy and inflation," Working Papers in Applied Economic Theory 2000-16, Federal Reserve Bank of San Francisco. [Downloadable!]
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  11. Ireland, Peter N., 2004. "A method for taking models to the data," Journal of Economic Dynamics and Control, Elsevier, vol. 28(6), pages 1205-1226, March. [Downloadable!] (restricted)
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  12. Gerali, Andrea & Lippi, Francesco, 2003. "Optimal Control and Filtering in Linear Forward-looking Economies: A Toolkit," CEPR Discussion Papers 3706, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
  13. Athanasios Orphanides, 2000. "The quest for prosperity without inflation," Working Paper Series 15, European Central Bank. [Downloadable!]
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  14. Cukierman, Alex & Lippi, Francesco, 2005. "Endogenous monetary policy with unobserved potential output," Journal of Economic Dynamics and Control, Elsevier, vol. 29(11), pages 1951-1983, November. [Downloadable!] (restricted)
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  15. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, 09. [Downloadable!] (restricted)
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  16. Linde, Jesper, 2005. "Estimating New-Keynesian Phillips curves: A full information maximum likelihood approach," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1135-1149, September. [Downloadable!] (restricted)
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