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A Conjecture of Chinese Monetary Policy Rule: Evidence from Survey Data, Markov Regime Switching, and Drifting Coefficients

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  • Yanbin Chen

    (School of Economics, Renmin University of China)

  • Zhen Huo

    (School of Economics, Renmin University of China)

Abstract

This paper studies a modified Chinese Taylor¡¯s rule with money supply growth rate as the intermediate target. We develop survey data to measure the expected inflation and use the real marginal cost as a proxy for the output gap. The Markov regime switching model, the TVP model and the split sample OLS estimation are employed to estimate the changing coefficients of the monetary reaction function. We find that there were two structural changes in the Chinese monetary policy rule, which take the form of discrete jumps rather than continuous adjustments. Besides, the Chinese central bank is not purely forward-looking as most literature assumed.

Suggested Citation

  • 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.
    • Handle: RePEc:cuf:journl:y:2009:v:10:i:1:p:111-153
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. Ma, Yong, 2016. "Nonlinear monetary policy and macroeconomic stabilization in emerging market economies: Evidence from China," Economic Systems, Elsevier, vol. 40(3), pages 461-480.
    4. Zhiqiang HU & Yizhu WANG, 2013. "The IPO Cycles in China's A-share IPO Market: Detection Based on a Three Regimes Markov Switching Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 115-131, October.
    5. Eric Girardin & Sandrine Lunven & Guonan Ma, 2017. "China's evolving monetary policy rule: from inflation-accommodating to anti-inflation policy," BIS Working Papers 641, Bank for International Settlements.
    6. Petreski, Marjan & Jovanovic, Branimir, 2012. "New Approach to Analyzing Monetary Policy in China," MPRA Paper 40497, University Library of Munich, Germany.
    7. 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.

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    More about this item

    Keywords

    Taylor¡¯s rule; Survey data; Real marginal cost; TVP model; Markov regime switching model;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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