IDEAS home Printed from https://ideas.repec.org/p/abn/wpaper/auwp2017-04.html
   My bibliography  Save this paper

The Determinants of the Benchmark Interest Rates in China: A Discrete Choice Model Approach

Author

Listed:
  • Hyeongwoo Kim
  • Wen Shi

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

  • Hyeongwoo Kim & Wen Shi, 2017. "The Determinants of the Benchmark Interest Rates in China: A Discrete Choice Model Approach," Auburn Economics Working Paper Series auwp2017-04, Department of Economics, Auburn University.
  • Handle: RePEc:abn:wpaper:auwp2017-04
    as

    Download full text from publisher

    File URL: http://cla.auburn.edu/econwp/Archives/2017/2017-04.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, Oxford University Press, vol. 115(1), pages 147-180.
    2. 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.
    3. Sun, Rongrong, 2013. "Does monetary policy matter in China? A narrative approach," China Economic Review, Elsevier, vol. 26(C), pages 56-74.
    4. Joon Y. Park & Peter C. B. Phillips, 2000. "Nonstationary Binary Choice," Econometrica, Econometric Society, vol. 68(5), pages 1249-1280, September.
    5. George Monokroussos, 2011. "Dynamic Limited Dependent Variable Modeling and U.S. Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43, pages 519-534, March.
    6. 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.
    7. Hu, Ling & Phillips, Peter C. B., 2004. "Nonstationary discrete choice," Journal of Econometrics, Elsevier, vol. 120(1), pages 103-138, May.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Zhang, Wenlang, 2009. "China's monetary policy: Quantity versus price rules," Journal of Macroeconomics, Elsevier, vol. 31(3), pages 473-484, September.
    17. 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.
    18. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    19. Hongyi Chen & Qianying Chen & Stefan Gerlach, 2011. "The Implementation of Monetary Policy in China: The Interbank Market and Bank Lending," Working Papers 262011, Hong Kong Institute for Monetary Research.
    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. 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.
    22. 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.
    23. 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.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Monetary Policy; People's Bank of China; Ordered Probit Model; Deposit Rate; Lending Rate; In-Sample Fit; Out-of-Sample Forecast;

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:abn:wpaper:auwp2017-04. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Hyeongwoo Kim). General contact details of provider: http://edirc.repec.org/data/deaubus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.