IDEAS home Printed from https://ideas.repec.org/p/zbw/bofitp/315478.html
   My bibliography  Save this paper

Combating crises and deflation in China's central bank: Modeling post-pandemic monetary policymaking

Author

Listed:
  • Burdekin, Richard C. K.
  • Siklos, Pierre L.

Abstract

The monetary policy of the People's Bank of China (PBoC) during 2001-2023 is assessed in terms of Taylor and McCallum rules, as well as a proposed composite monetary policy rule. PBoC policy is found to be responsive to the gap between target and actual nominal GDP in the McCallum rule, as well as the output and inflation gaps in the Taylor rule. We find a relatively close fit between actual and predicted monetary policy moves under both rules, and a superior fit with our composite rule incorporating monetary and interest-rate factors. The policy reactions persist across a series of transitions between high- and low-volatility regimes identified via Markov-switching regressions. The results are shown to be robust using several techniques.

Suggested Citation

  • Burdekin, Richard C. K. & Siklos, Pierre L., 2025. "Combating crises and deflation in China's central bank: Modeling post-pandemic monetary policymaking," BOFIT Discussion Papers 2/2025, Bank of Finland Institute for Emerging Economies (BOFIT).
    • Handle: RePEc:zbw:bofitp:315478
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/315478/1/1922835005.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kaiji Chen & Jue Ren & Tao Zha, 2018. "The Nexus of Monetary Policy and Shadow Banking in China," American Economic Review, American Economic Association, vol. 108(12), pages 3891-3936, December.
    2. Fernald, John G. & Spiegel, Mark M. & Swanson, Eric T., 2014. "Monetary policy effectiveness in China: Evidence from a FAVAR model," Journal of International Money and Finance, Elsevier, vol. 49(PA), pages 83-103.
    3. Hongyi Chen & Pierre Siklos, 2023. "Oceans Apart? China and Other Systemically Important Economies," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(5), pages 1349-1371, April.
    4. Liu, Dayu & Xu, Ning & Zhao, Tingting & Song, Yang, 2018. "Identifying the nonlinear correlation between business cycle and monetary policy rule: Evidence from China and the U.S," Economic Modelling, Elsevier, vol. 73(C), pages 45-54.
    5. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    6. Burdekin, Richard C.K. & Weidenmier, Marc D., 2015. "Assessing the impact of the Chinese stimulus package at home and abroad: A damp squib?," China Economic Review, Elsevier, vol. 33(C), pages 137-162.
    7. W. A. Razzak, 2003. "Is the Taylor Rule Really Different from the McCallum Rule?," Contemporary Economic Policy, Western Economic Association International, vol. 21(4), pages 445-457, October.
    8. Güneş Kamber & Madhusudan Mohanty, 2018. "Do interest rates play a major role in monetary policy transmission in China?," BIS Working Papers 714, Bank for International Settlements.
    9. Li, Bing & Liu, Qing, 2017. "On the choice of monetary policy rules for China: A Bayesian DSGE approach," China Economic Review, Elsevier, vol. 44(C), pages 166-185.
    10. Sun, Rongrong, 2015. "What measures Chinese monetary policy?," Journal of International Money and Finance, Elsevier, vol. 59(C), pages 263-286.
    11. Rongrong Sun, 2018. "A Narrative indicator of Monetary Conditions in China," International Journal of Central Banking, International Journal of Central Banking, vol. 14(4), pages 1-42, September.
    12. Hamilton, James D., 1988. "Rational-expectations econometric analysis of changes in regime : An investigation of the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 385-423.
    13. Richard C. K. Burdekin & Junjie Zhang, 2019. "Macroeconomic Drivers of Chinese ADRs: Home Country vs. US Effects," Chinese Economy, Taylor & Francis Journals, vol. 52(4), pages 342-357, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michael Funke & Andrew Tsang, 2021. "The Direction and Intensity of China’s Monetary Policy: A Dynamic Factor Modelling Approach," The Economic Record, The Economic Society of Australia, vol. 97(316), pages 100-122, March.
    2. Chen, Hongyi & Tillmann, Peter, 2021. "Monetary policy uncertainty in China," Journal of International Money and Finance, Elsevier, vol. 110(C).
    3. repec:zbw:bofitp:2019_008 is not listed on IDEAS
    4. Funke, Michael & Tsang, Andrew, 2019. "The direction and intensity of China's monetary policy conduct: A dynamic factor modelling approach," BOFIT Discussion Papers 8/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    5. Das, Sonali & Song, Wenting, 2023. "Monetary policy transmission and policy coordination in China," China Economic Review, Elsevier, vol. 82(C).
    6. El-Shagi, Makram & Jiang, Lunan, 2025. "How the PBoC’s new MLF affects the yield curve," Journal of International Money and Finance, Elsevier, vol. 154(C).
    7. Makram El-Shagi & Lunan Jiang, 2023. "How the PBoC´s new MLF affects the yield curve," CFDS Discussion Paper Series 2023/1, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    8. Han, Qian & Song, Zhaogang & Yuan, Yufei & Zhao, Yuanhang, 2023. "Monetary transmission and government investment in China," China Economic Review, Elsevier, vol. 82(C).
    9. Funke, Michael & Tsang, Andrew, 2019. "The direction and intensity of China's monetary policy conduct: A dynamic factor modelling approach," BOFIT Discussion Papers 8/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    10. Yemba, Boniface & Kitenge, Erick & Tang, Biyan & Gaekwad, Neepa B., 2024. "Monetary policy in China: A Factor Augmented VAR approach," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 975-1008.
    11. Jiang, Lunan & Chen, Yinghui & Zhang, Lin, 2024. "Monetary policy shocks and firm investment decisions: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    12. Tsang, Andrew, 2021. "Uncovering Heterogeneous Regional Impacts of Chinese Monetary Policy," MPRA Paper 110703, University Library of Munich, Germany.
    13. Lu, Dong & Tang, Huoqing & Zhang, Chengsi, 2023. "China's monetary policy surprises and corporate real investment," China Economic Review, Elsevier, vol. 77(C).
    14. Chen, Yong & Liu, Dingming & Zhuang, Ziguan, 2023. "The spillover effects of China's monetary policy shock: Evidence from B&R countries," Emerging Markets Review, Elsevier, vol. 55(C).
    15. Li, Li & Tang, Yao & Xiang, Jingjie, 2020. "Measuring China's monetary policy uncertainty and its impact on the real economy," Emerging Markets Review, Elsevier, vol. 44(C).
    16. Lodge, David & Manu, Ana-Simona & Van Robays, Ine, 2023. "China’s footprint in global financial markets," Working Paper Series 2861, European Central Bank.
    17. Cheng, Xiaoqiang & Wang, Yabin, 2022. "Shadow banking and the bank lending channel of monetary policy in China," Journal of International Money and Finance, Elsevier, vol. 128(C).
    18. Huang, Yiping & Li, Xiang & Qiu, Han & Yu, Changhua, 2023. "BigTech credit and monetary policy transmission: Micro-level evidence from China," BOFIT Discussion Papers 2/2023, Bank of Finland Institute for Emerging Economies (BOFIT).
    19. Shieh, Harrison, 2024. "Can you hear me now? Identifying the effect of Chinese monetary policy announcements," Journal of International Money and Finance, Elsevier, vol. 144(C).
    20. Jiang, Lunan & Chen, Yinghui & Zhang, Lin, 2024. "Monetary policy surprises and corporate investment growth in China," Economic Modelling, Elsevier, vol. 131(C).
    21. Andrew Tsang, 2024. "Uncovering heterogeneous regional impacts of Chinese monetary policy," Empirical Economics, Springer, vol. 67(3), pages 915-940, September.

    More about this item

    Keywords

    monetary policy; People's Bank of China; policy rules; inflation; deflation;
    All these keywords.

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    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:zbw:bofitp:315478. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/bofitfi.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.