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What Prompts the People's Bank of China to Change Its Monetary Policy Stance? Evidence from a Discrete Choice Model

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  • Dong He
  • Laurent L. Pauwels

Abstract

In the present paper, we model the policy stance of the People's Bank of China (PBC) as a latent variable, and the discrete changes in the reserve requirement ratio, policy interest rates, and the scale of open market operations are taken as signals of movement of this latent variable. We run a discrete choice regression that relates these observed indicators of policy stance to major trends of macroeconomic and financial developments, which are represented by common factors extracted from a large number of variables. The predicted value of the estimated model can then be interpreted as the implicit policy stance of the PBC. In a second step, we estimate how much of the variation in the PBC's implicit stance can be explained by measures of its policy objectives on inflation, growth and financial stability. We find that deviations of CPI inflation from an implicit target and deviations of broad money growth from the announced targets, but not output gaps, figure significantly in the PBC's policy changes. Copyright (c) 2008 The Hong Kong Monetary Authority Journal compilation (c) 2008 Institute of World Economics and Politics, Chinese Academy of Social Sciences.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:chinae:v:16:y:2008:i:6:p:1-21
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    References listed on IDEAS

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    1. Joon Y. Park & Peter C. B. Phillips, 2000. "Nonstationary Binary Choice," Econometrica, Econometric Society, vol. 68(5), pages 1249-1280, September.
    2. Geiger, Michael, 2006. "Monetary Policy in China (1994-2004): Targets, Instruments and their Effectiveness," W.E.P. - Würzburg Economic Papers 68, University of Würzburg, Chair for Monetary Policy and International Economics.
    3. Hu, Ling & Phillips, Peter C. B., 2004. "Nonstationary discrete choice," Journal of Econometrics, Elsevier, vol. 120(1), pages 103-138, May.
    4. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    5. 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.
    6. Elliott, Graham, 1999. "Efficient Tests for a Unit Root When the Initial Observation Is Drawn from Its Unconditional Distribution," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(3), pages 767-783, August.
    7. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    8. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    9. Bernard J Laurens & Rodolfo Maino, 2007. "China; Strengthening Monetary Policy Implementation," IMF Working Papers 07/14, International Monetary Fund.
    10. Michael J. Dueker, 1999. "Measuring monetary policy inertia in target Fed funds rate changes," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 3-10.
    11. Balduzzi, Pierluigi & Bertola, Giuseppe & Foresi, Silverio, 1997. "A model of target changes and the term structure of interest rates," Journal of Monetary Economics, Elsevier, vol. 39(2), pages 223-249, July.
    12. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    13. Marvin Goodfriend & Eswar Prasad, 2009. "A Framework for Independent Monetary Policy in China," Chapters,in: Monetary Policy Frameworks for Emerging Markets, chapter 8 Edward Elgar Publishing.
    14. Ling Hu & Peter C.B. Phillips, 2002. "Dynamics of the Federal Funds Target Rate: A Nonstationary Discrete Choice Approach," Cowles Foundation Discussion Papers 1365, Cowles Foundation for Research in Economics, Yale University.
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    Cited by:

    1. Shu, Chang & He, Dong & Cheng, Xiaoqiang, 2015. "One currency, two markets: the renminbi's growing influence in Asia-Pacific," China Economic Review, Elsevier, vol. 33(C), pages 163-178.
    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. 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.
    4. Chen, Hongyi & Chow, Kenneth & Tillmann, Peter, 2017. "The effectiveness of monetary policy in China: Evidence from a Qual VAR," China Economic Review, Elsevier, vol. 43(C), pages 216-231.
    5. 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.
    6. He, Dong & Luk, Paul, 2017. "A Model Of Chinese Capital Account Liberalization," Macroeconomic Dynamics, Cambridge University Press, vol. 21(08), pages 1902-1934, December.
    7. Klingelhöfer, Jan & Sun, Rongrong, 2017. "Macroprudential Policy, Central Banks and Financial Stability: Evidence from China," MPRA Paper 79033, University Library of Munich, Germany.
    8. Paul G. Egan & Anthony J. Leddin, 2016. "Examining Monetary Policy Transmission in the People's Republic of China–Structural Change Models with a Monetary Policy Index," Asian Development Review, MIT Press, vol. 33(1), pages 74-110, March.
    9. Sun, Rongrong, 2013. "Does monetary policy matter in China? A narrative approach," China Economic Review, Elsevier, vol. 26(C), pages 56-74.
    10. Peter Tillmann, 2014. "Unconventional Monetary Policy Shocks and the Spillovers to Emerging Markets," Working Papers 182014, Hong Kong Institute for Monetary Research.
    11. Dong He & Honglin Wang & Xiangrong Yu, 2015. "Interest Rate Determination in China: Past, Present, and Future," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 255-277, December.
    12. Fredj Jawadi & Sushanta K. Mallick & Ricardo M. Sousa, 2011. "Monetary Policy Rules in the BRICS: How Important is Nonlinearity?," NIPE Working Papers 18/2011, NIPE - Universidade do Minho.
    13. Dong He & Honglin Wang, 2013. "Monetary Policy and Bank Lending in China - Evidence from Loan-Level Data," Working Papers 162013, Hong Kong Institute for Monetary Research.
    14. repec:eee:ecmode:v:68:y:2018:i:c:p:32-40 is not listed on IDEAS
    15. Tillmann, Peter, 2016. "Unconventional monetary policy and the spillovers to emerging markets," Journal of International Money and Finance, Elsevier, vol. 66(C), pages 136-156.
    16. 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.
    17. Dong He, 2014. "Comments on Eric Girardin, Sandrine Lunven and Guonan Ma's paper," BIS Papers chapters,in: Bank for International Settlements (ed.), Globalisation, inflation and monetary policy in Asia and the Pacific, volume 77, pages 171-174 Bank for International Settlements.
    18. 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.
    19. Sun, Rongrong, 2015. "What measures Chinese monetary policy?," Journal of International Money and Finance, Elsevier, vol. 59(C), pages 263-286.
    20. Körner, Finn Marten & Ehnts, Dirk H., 2013. "Chinese monetary policy – from theory to practice," MPRA Paper 44264, University Library of Munich, Germany.
    21. Xiong, Qiyue, 2013. "The role of the bank lending channel and impacts of stricter capital requirements on the Chinese banking industry," BOFIT Discussion Papers 7/2013, Bank of Finland, Institute for Economies in Transition.
    22. Sun, Rongrong, 2015. "A Narrative Indicator of Monetary Conditions in China," MPRA Paper 64166, University Library of Munich, Germany.

    More about this item

    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
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • 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

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