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Resuscitating the ad hoc loss function for monetary policy analysis

  • Juan Paez-Farrell

    ()

    (School of Business and Economics, Loughborough University, UK)

Working with micro-founded loss functions to derive and analyse optimal policy ensures consistency with the model used and overcomes the misleading prescriptions that result from using exogenous ad hoc loss functions. However, when allowance is made for the fact that different theories of inflation persistence can result in the same, observationally equivalent, hybrid New Keynesian Phillips curve such conclusions may no longer hold. Each theory implies its own loss function and will therefore result in different policy prescriptions. In this paper I analyse the welfare consequences of using ad hoc loss functions versus the micro-founded, but potentially incorrect, targeting rules.

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File URL: http://www.lboro.ac.uk/departments/sbe/RePEc/lbo/lbowps/JPF_WP2012_06.pdf
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Paper provided by Department of Economics, Loughborough University in its series Discussion Paper Series with number 2012_06.

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Date of creation: Jun 2012
Date of revision: Jun 2012
Handle: RePEc:lbo:lbowps:2012_06
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Web page: http://www.lboro.ac.uk/departments/sbe/research/economics/index.html
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  1. Steinsson, Jon, 2003. "Optimal monetary policy in an economy with inflation persistence," Journal of Monetary Economics, Elsevier, vol. 50(7), pages 1425-1456, October.
  2. Dennis, Richard, 2010. "When is discretion superior to timeless perspective policymaking?," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 266-277, April.
  3. Miguel Casares, 2006. "A close look at model-dependent monetary policy design," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 451-470.
  4. John C. Williams & Andrew T. Levin, 2003. "Robust Monetary Policy with Competing Reference Models," Computing in Economics and Finance 2003 291, Society for Computational Economics.
  5. Frank Smets & Ignazio Angeloni & Gunter Coenen, 2003. "Persistence, the Transmission Mechanism and Robust Monetary Policy," Computing in Economics and Finance 2003 137, Society for Computational Economics.
  6. Richard Dennis, 2001. "Optimal policy in rational-expectations models: new solution algorithms," Working Paper Series 2001-09, Federal Reserve Bank of San Francisco.
  7. Amato, Jeffery D. & Laubach, Thomas, 2003. "Rule-of-thumb behaviour and monetary policy," European Economic Review, Elsevier, vol. 47(5), pages 791-831, October.
  8. Rochelle M. Edge & Thomas Laubach & John C. Williams, 2007. "Welfare-maximizing monetary policy under parameter uncertainty," Proceedings, Federal Reserve Bank of San Francisco.
  9. Christian Jensen & Bennett C. McCallum, 2002. "The Non-Optimality of Proposed Monetary Policy Rules Under Timeless-Perspective Commitment," NBER Working Papers 8882, National Bureau of Economic Research, Inc.
  10. Páez-Farrell, Juan, 2007. "Monetary Policy Rules in Theory and in Practice: Evidence from the UK and the US," Cardiff Economics Working Papers E2007/13, Cardiff University, Cardiff Business School, Economics Section.
  11. Walsh, Carl E., 2005. "Endogenous objectives and the evaluation of targeting rules for monetary policy," Journal of Monetary Economics, Elsevier, vol. 52(5), pages 889-911, July.
  12. Jordi Gali & Mark Gertler, 2000. "Inflation Dynamics: A Structural Econometric Analysis," NBER Working Papers 7551, National Bureau of Economic Research, Inc.
  13. Ireland, Peter N., 2003. "Comment on: Robust monetary policy with competing reference models," Journal of Monetary Economics, Elsevier, vol. 50(5), pages 977-982, July.
  14. Mccallum, Bennet T., 1988. "Robustness properties of a rule for monetary policy," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 29(1), pages 173-203, January.
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