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Two-sided Learning and Optimal Monetary Policy in an Open Economy Model

  • Timothy Kam

    (UWA Business School, The University of Western Australia)

In this paper, we consider a dynamic New Keynesian model of the small open economy in the light of bounded rationality. This entails private agents and the central bank updating their beliefs about the laws of motion of inflation, the output gap and real exchange rate, when forming their optimal decisions. It is shown that when all players learn using recursive least-squares or stochastic-gradient adaptive algorithms, the optimal policy steers the economy towards a rational expectations equilibrium (REE) with probability one in some cases. This is also the case when only private agents are learning. However there also exists structural parameter values in the true model such that learning converges with probability zero to REE.

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File URL: http://ecompapers.biz.uwa.edu.au/paper/PDF%20of%20Discussion%20Papers/2004/04_07_Kam.pdf
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Paper provided by The University of Western Australia, Department of Economics in its series Economics Discussion / Working Papers with number 04-07.

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Length: 27 pages
Date of creation: 2004
Date of revision:
Handle: RePEc:uwa:wpaper:04-07
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Web page: http://www.business.uwa.edu.au/school/disciplines/economics

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  1. Jordi Gali & Tommaso Monacelli, 1999. "Optimal Monetary Policy and Exchange Rate Volatility in a Small Open Economy," Boston College Working Papers in Economics 438, Boston College Department of Economics, revised 15 Nov 1999.
  2. George W. Evans & Seppo Honkapohja, 2001. "Expectations and the Stability Problem for Optimal Monetary Policies," University of Oregon Economics Department Working Papers 2001-6, University of Oregon Economics Department, revised 03 Aug 2001.
  3. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
  4. Robert J. Barro & David B. Gordon, 1983. "Rules, Discretion and Reputation in a Model of Monetary Policy," NBER Working Papers 1079, National Bureau of Economic Research, Inc.
  5. Lars Peter Hansen & Thomas J. Sargent, 2001. "Acknowledging Misspecification in Macroeconomic Theory," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(3), pages 519-535, July.
  6. Kuan, Chung-Ming & White, Halbert, 1994. "Adaptive Learning with Nonlinear Dynamics Driven by Dependent Processes," Econometrica, Econometric Society, vol. 62(5), pages 1087-1114, September.
  7. Richard Clarida & Jordi Gali & Mark Gertler, 2001. "Optimal Monetary Policy in Open versus Closed Economies: An Integrated Approach," American Economic Review, American Economic Association, vol. 91(2), pages 248-252, May.
  8. Kaushik Mitra & James Bullard, . "Learning About Monetary Policy Rules," Discussion Papers 00/41, Department of Economics, University of York.
  9. Ben S. Bernanke & Michael Woodford, 1997. "Inflation forecasts and monetary policy," Proceedings, Federal Reserve Bank of Cleveland, pages 653-686.
  10. Jordi Galí & Tommaso Monacelli, 2004. "Monetary policy and exchange rate volatility in a small open economy," Economics Working Papers 835, Department of Economics and Business, Universitat Pompeu Fabra.
  11. Svensson, Lars E O & Woodford, Michael, 2004. "Implementing Optimal Policy Through Inflation-Forecast Targeting," CEPR Discussion Papers 4229, C.E.P.R. Discussion Papers.
  12. Sargent, Thomas J & Wallace, Neil, 1975. ""Rational" Expectations, the Optimal Monetary Instrument, and the Optimal Money Supply Rule," Journal of Political Economy, University of Chicago Press, vol. 83(2), pages 241-54, April.
  13. Tommaso Monacelli, 2003. "Monetary Policy in a Low Pass-Through Environment," Working Papers 228, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  14. Kydland, Finn E & Prescott, Edward C, 1977. "Rules Rather Than Discretion: The Inconsistency of Optimal Plans," Journal of Political Economy, University of Chicago Press, vol. 85(3), pages 473-91, June.
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