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Estimating interest rate setting behaviour in Korea: a constrained ordered choices model approach

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  • Hyeongwoo Kim
  • Wen Shi
  • Kwang-Myoung Hwang

Abstract

We study the Bank of Korea’s interest rate setting behaviour using an array of constrained ordered choices models, where the Monetary Policy Committee revises the target policy interest rate only when the current market interest rate deviates from the optimal rate by more than certain threshold values. Our models explain changes in the monetary policy stance well for the monthly frequency Korean data since January 2000. We find important roles for the output gap and the foreign exchange rate in understanding the Bank of Korea’s rate decision-making process. We also implement out-of-sample forecast exercises with September 2008 (Lehman Brothers Bankruptcy) for a split point. We demonstrate that out-of-sample predictability improves greatly for the rate cut and the rate hike decisions using SE-adjusted inaction bands.

Suggested Citation

  • Hyeongwoo Kim & Wen Shi & Kwang-Myoung Hwang, 2016. "Estimating interest rate setting behaviour in Korea: a constrained ordered choices model approach," Applied Economics, Taylor & Francis Journals, vol. 48(23), pages 2199-2214, May.
    • Handle: RePEc:taf:applec:v:48:y:2016:i:23:p:2199-2214
    DOI: 10.1080/00036846.2015.1117045
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    1. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
    2. James D. Hamilton & Oscar Jorda, 2002. "A Model of the Federal Funds Rate Target," Journal of Political Economy, University of Chicago Press, vol. 110(5), pages 1135-1167, October.
    3. Xiong, Weibo, 2012. "Measuring the monetary policy stance of the People's bank of china: An ordered probit analysis," China Economic Review, Elsevier, vol. 23(3), pages 512-533.
    4. Hu, Ling & Phillips, Peter C. B., 2004. "Nonstationary discrete choice," Journal of Econometrics, Elsevier, vol. 120(1), pages 103-138, May.
    5. Won-Am Park, 2008. "Inflation Targeting and Exchange Rate Management in Korea," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 12(1), pages 157-188.
    6. Phillips, Peter C.B. & Jin, Sainan & Hu, Ling, 2007. "Nonstationary discrete choice: A corrigendum and addendum," Journal of Econometrics, Elsevier, vol. 141(2), pages 1115-1130, December.
    7. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
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    Cited by:

    1. Hyeongwoo Kim & Wen Shi, 2014. "The Determinants of the Benchmark Interest Rates in China: A Discrete Choice Model Approach," Auburn Economics Working Paper Series auwp2014-12, Department of Economics, Auburn University.
    2. Thang Ngoc Doan & Dong Phu Do & Dat Van Luong, 2023. "Monetary stance and favorableness of the monetary policy in the media: the case of Vietnam," Journal of Asian Business and Economic Studies, Emerald Group Publishing Limited, vol. 31(2), pages 111-123, August.
    3. Kim, Hyeongwoo & Shi, Wen, 2018. "The determinants of the benchmark interest rates in China," Journal of Policy Modeling, Elsevier, vol. 40(2), pages 395-417.
    4. Farvaque, Etienne & Malan, Franck & Stanek, Piotr, 2020. "Misplaced childhood: When recession children grow up as central bankers," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    5. Pauwels, Laurent, 2019. "Predicting China’s Monetary Policy with Forecast Combinations," Working Papers BAWP-2019-07, University of Sydney Business School, Discipline of Business Analytics.

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    More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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