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Evaluating Exchange Rate Management An Application to Korea

  • David Parsley

    (Vanderbilt University, Hong Kong Institute for Monetary Research)

  • Helen Popper

    (Santa Clara University, Hong Kong Institute for Monetary Research)

This paper uses data-rich estimation techniques to study monetary policy in an open economy. We apply the techniques to a small, forward-looking model and explore the importance of the exchange rate in the monetary policy rule. This approach allows us to discern whether a monetary authority targets the exchange rate per se, or instead simply responds to the exchange rate in order to achieve its other objectives. The approach also removes a downward bias on the estimate of the extent of inflation targeting. We find that this bias is important in the case of Korea, a de jure inflation targeter. In contrast to previous studies, our findings suggest that the Bank of Korea actively targets inflation, not the exchange rate. Apparently, the exchange rate has been only indirectly important in Korea's monetary policy.

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Paper provided by Hong Kong Institute for Monetary Research in its series Working Papers with number 282009.

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Length: 26 pages
Date of creation: Sep 2009
Date of revision:
Handle: RePEc:hkm:wpaper:282009
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  1. Richard Clarida & Jordi Galí & Mark Gertler, 1997. "The science of monetary policy: A new Keynesian perspective," Economics Working Papers 356, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 1999.
  2. Clarida, Richard & Galí, Jordi & Gertler, Mark, 1997. "Monetary Policy Rules in Practice: Some International Evidence," CEPR Discussion Papers 1750, C.E.P.R. Discussion Papers.
  3. Gali, Jordi & Gertler, Mark, 1999. "Inflation dynamics: A structural econometric analysis," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
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  5. Soyoung Kim & Yung Chul Park, 2006. "Inflation targeting in Korea: a model of success?," BIS Papers chapters, in: Bank for International Settlements (ed.), Monetary policy in Asia: approaches and implementation, volume 31, pages 140-164 Bank for International Settlements.
  6. Charles Engel, 2009. "Currency Misalignments and Optimal Monetary Policy: A Reexamination," NBER Working Papers 14829, National Bureau of Economic Research, Inc.
  7. Laurence M. Ball, 1999. "Policy Rules for Open Economies," NBER Chapters, in: Monetary Policy Rules, pages 127-156 National Bureau of Economic Research, Inc.
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  11. Thomas Lubik & Frank Schorfheide, 2003. "Do Central Banks Respond to Exchange Rate Movements? A Structural Investigation," Economics Working Paper Archive 505, The Johns Hopkins University,Department of Economics.
  12. Bernanke, Ben S. & Boivin, Jean, 2003. "Monetary policy in a data-rich environment," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 525-546, April.
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  14. Bai, Jushan & Ng, Serena, 2010. "Instrumental Variable Estimation In A Data Rich Environment," Econometric Theory, Cambridge University Press, vol. 26(06), pages 1577-1606, December.
  15. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-62, April.
  16. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
  17. Levy-Yeyati, Eduardo & Sturzenegger, Federico, 2005. "Classifying exchange rate regimes: Deeds vs. words," European Economic Review, Elsevier, vol. 49(6), pages 1603-1635, August.
  18. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 120(1), pages 387-422.
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