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How Costly is Exchange Rate Stabilisation for an Inflation Targeter? The Case of Australia

  • MARK CROSBY
  • TIMOTHY KAM
  • KIRDAN LEES

This paper quantifies the costs of mitigating exchange rate volatility within the context of a flexible inflation targeting central bank. Within a standard linear-quadratic formulation of inflation targeting, we append a term that penalises deviations in the exchange rate to the central bank's loss function. For a simple forward-looking new-Keynesian model, we show that the central bank can reduce volatility in the exchange rate relatively costlessly by aggressively responding to the real exchange rate. However, when we append correlated shocks to better match summary statistics of the Australian data, we find that the costs associated with reducing exchange rate volatility are larger: output volatility increases substantially. Finally, we apply our method to a variant of a small backward-looking new-Keynesian model of the Australian economy. Under this model, large increases in inflation and output volatility accrue if the central bank attempts to mitigate exchange rate volatility. Copyright © 2008 The Economic Society of Australia.

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Article provided by The Economic Society of Australia in its journal Economic Record.

Volume (Year): 84 (2008)
Issue (Month): 266 (09)
Pages: 354-365

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Handle: RePEc:bla:ecorec:v:84:y:2008:i:266:p:354-365
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  1. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
  2. Richard Dennis, 2002. "Exploring the role of the real exchange rate in Australian monetary policy," Working Paper Series 2002-19, Federal Reserve Bank of San Francisco.
  3. Obstfeld, M., 1998. "Risk and Exchange Rate," Papers 193, Princeton, Woodrow Wilson School - Public and International Affairs.
  4. Arturo Extrella & Jeffrey C. Fuhrer, 1998. "Dynamic inconsistencies: counterfactual implications of a class of rational expectations models," Working Papers 98-5, Federal Reserve Bank of Boston.
  5. Bennett T. McCallum & Edward Nelson, 1997. "An Optimizing IS-LM Specification for Monetary Policy and Business Cycle Analysis," NBER Working Papers 5875, National Bureau of Economic Research, Inc.
  6. Lindé, Jesper, 2001. "Estimating New-Keynesian Phillips Curves: A Full Information Maximum Likelihood Approach," Working Paper Series 129, Sveriges Riksbank (Central Bank of Sweden), revised 30 Apr 2001.
  7. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
  8. Söderström, Ulf & Söderlind, Paul & Vredin, Anders, 2002. "New-Keynesian Models and Monetary Policy: A Reexamination of the Stylized Facts," SSE/EFI Working Paper Series in Economics and Finance 511, Stockholm School of Economics, revised 15 Aug 2003.
  9. Fuhrer, Jeffrey C. & Rudebusch, Glenn D., 2004. "Estimating the Euler equation for output," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1133-1153, September.
  10. Crosby, M., 2000. "Exchange Rate Volatility and Macroeconomic Performance in Hong Kong," Department of Economics - Working Papers Series 749, The University of Melbourne.
  11. John B. Taylor, 2001. "The Role of the Exchange Rate in Monetary-Policy Rules," American Economic Review, American Economic Association, vol. 91(2), pages 263-267, May.
  12. Paul R. Bergin & Ivan Tchakarov, 2003. "Does Exchange Rate Risk Matter for Welfare?," NBER Working Papers 9900, National Bureau of Economic Research, Inc.
  13. Arize, Augustine C & Osang, Thomas & Slottje, Daniel J, 2000. "Exchange-Rate Volatility and Foreign Trade: Evidence from Thirteen LDC's," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 10-17, January.
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