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Monetary Policy in Korea through the lense of Taylor Rule in DSGE model

  • Tae Bong Kim

    (Korea Development Institute)

This paper shows assessments on the monetary policy of Korea based on an estimated model. During the sample period of the in ation targeting scheme, the monetary policy discretion, which is the monetary policy shock after the historical decomposition of the model, has been mostly in ationary while it was reducing the volatility of output growth and thus countercyclical. 3% target rate could have been achieved when the monetary policy shock's standard deviation was approximately half of its posterior estimate. Various degree of monetary policy stance has been simulated with the sample period. An aggressive monetary policy towards in ation stabilization would have generally led to the average level of in ation rate closer to its target rate but at the cost of higher volatilities of the output growth.

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Paper provided by Society for Economic Dynamics in its series 2013 Meeting Papers with number 746.

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Date of creation: 2013
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Handle: RePEc:red:sed013:746
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  1. Jesús Fernández-Villaverde & Pablo Guerrón-Quintana & Juan F. Rubio-Ramírez, 2010. "Fortune or Virtue: Time-Variant Volatilities Versus Parameter Drifting in U.S. Data," PIER Working Paper Archive 10-015, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  2. Smets, Frank & Wouters, Rafael, 2004. "Comparing Shocks and Frictions in US and Euro Area Business Cycles: A Bayesian DSGE Approach," CEPR Discussion Papers 4750, C.E.P.R. Discussion Papers.
  3. Schmitt-Grohé, Stephanie & Uribe, Martín, 2001. "Solving Dynamic General Equilibrium Models Using a Second-Order Approximation to the Policy Function," CEPR Discussion Papers 2963, C.E.P.R. Discussion Papers.
  4. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models—Rejoinder," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 211-219.
  5. Sungbae An & Frank Schorfheide, 2006. "Bayesian analysis of DSGE models," Working Papers 06-5, Federal Reserve Bank of Philadelphia.
  6. Martin Møller Andreasen, 2008. "How to Maximize the Likelihood Function for a DSGE Model," CREATES Research Papers 2008-32, School of Economics and Management, University of Aarhus.
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