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The determinants of the benchmark interest rates in China

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  • Kim, Hyeongwoo
  • Shi, Wen

Abstract

This paper empirically investigates the determinants of the two key benchmark interest rates in China using an array of constrained ordered probit models for quarterly frequency data from 1987 to 2013. Specifically, we estimate the behavioral equation of the People's Bank of China that models its decision-making process for revisions of the benchmark deposit rate and the lending rate. Our findings imply that the PBC's policy decisions are better understood as responses to changes in inflation and money growth, while output gaps and the exchange rate play negligible roles. We also implement in-sample fit analyses and out-of-sample forecast exercises. Our empirical findings show robust and reasonably good performances of our models in understanding dynamics of these benchmark interest rates.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jpolmo:v:40:y:2018:i:2:p:395-417
    DOI: 10.1016/j.jpolmod.2018.01.012
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    1. Sun, Rongrong, 2013. "Does monetary policy matter in China? A narrative approach," China Economic Review, Elsevier, vol. 26(C), pages 56-74.
    2. George Monokroussos, 2011. "Dynamic Limited Dependent Variable Modeling and U.S. Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(2‐3), pages 519-534, March.
    3. 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.
    4. ZHENG, Tingguo & WANG, Xia & GUO, Huiming, 2012. "Estimating forward-looking rules for China's Monetary Policy: A regime-switching perspective," China Economic Review, Elsevier, vol. 23(1), pages 47-59.
    5. Wei Liao & Mr. Sampawende J Tapsoba, 2014. "China’s Monetary Policy and Interest Rate Liberalization: Lessons from International Experiences," IMF Working Papers 2014/075, International Monetary Fund.
    6. 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.
    7. Eric Girardin & Sandrine Lunven & Guonan Ma, 2014. "Inflation and China's monetary policy reaction function: 2002-2013," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation, inflation and monetary policy in Asia and the Pacific, volume 77, pages 159-170, Bank for International Settlements.
    8. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    9. Yanbin Chen & Zhen Huo, 2009. "A Conjecture of Chinese Monetary Policy Rule: Evidence from Survey Data, Markov Regime Switching, and Drifting Coefficients," Annals of Economics and Finance, Society for AEF, vol. 10(1), pages 111-153, May.
    10. Fan, Longzhen & Yu, Yihong & Zhang, Chu, 2011. "An empirical evaluation of China's monetary policies," Journal of Macroeconomics, Elsevier, vol. 33(2), pages 358-371, June.
    11. 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.
    12. Zhang, Wenlang, 2009. "China's monetary policy: Quantity versus price rules," Journal of Macroeconomics, Elsevier, vol. 31(3), pages 473-484, September.
    13. He, Dong & Wang, Honglin, 2012. "Dual-track interest rates and the conduct of monetary policy in China," China Economic Review, Elsevier, vol. 23(4), pages 928-947.
    14. Burdekin, Richard C.K. & Siklos, Pierre L., 2008. "What has driven Chinese monetary policy since 1990? Investigating the People's bank's policy rule," Journal of International Money and Finance, Elsevier, vol. 27(5), pages 847-859, September.
    15. Joon Y. Park & Peter C. B. Phillips, 2000. "Nonstationary Binary Choice," Econometrica, Econometric Society, vol. 68(5), pages 1249-1280, September.
    16. Dong He & Laurent L. Pauwels, 2008. "What Prompts the People's Bank of China to Change Its Monetary Policy Stance? Evidence from a Discrete Choice Model," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 16(6), pages 1-21, November.
    17. Hu, Ling & Phillips, Peter C. B., 2004. "Nonstationary discrete choice," Journal of Econometrics, Elsevier, vol. 120(1), pages 103-138, May.
    18. Hyeongwoo Kim & John Jackson & Richard Saba, 2009. "Forecasting the FOMC's interest rate setting behavior: a further analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(2), pages 145-165.
    19. Michael Geiger, 2008. "Instruments Of Monetary Policy In China And Their Effectiveness: 1994–2006," UNCTAD Discussion Papers 187, United Nations Conference on Trade and Development.
    20. Fredj Jawadi & Sushanta Kumar Mallick & Ricardo Magalhães Sousa, 2014. "Nonlinear monetary policy reaction functions in large emerging economies: the case of Brazil and China," Applied Economics, Taylor & Francis Journals, vol. 46(9), pages 973-984, March.
    21. Stefan Gerlach, 2007. "Interest Rate Setting by the ECB, 1999-2006: Words and Deeds," International Journal of Central Banking, International Journal of Central Banking, vol. 3(3), pages 1-46, September.
    22. Koivu, Tuuli, 2009. "Has the Chinese economy become more sensitive to interest rates? Studying credit demand in China," China Economic Review, Elsevier, vol. 20(3), pages 455-470, September.
    23. 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.
    24. Liu, Li-gang & Zhang, Wenlang, 2010. "A New Keynesian model for analysing monetary policy in Mainland China," Journal of Asian Economics, Elsevier, vol. 21(6), pages 540-551, December.
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    More about this item

    Keywords

    Monetary policy; People’s Bank of China; Ordered probit model; In-sample fit; Out-of-sample forecast;
    All these keywords.

    JEL classification:

    • 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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