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Monetary policy rules under a fixed exchange rate regime: empirical evidence from China

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  • Shengzu Wang
  • Jagdish Handa

Abstract

This article uses an open economy model to estimate, using cointegration and error-correction analysis, China's monetary policy reaction function for the period 1993 to 2003. Alternative inflation-forecast-based (IFB) policy Taylor-type rules for the interest rate are examined and their parameters are estimated. The empirical results support the hypothesis that the central bank of China follows a Taylor-type rule for the interest rate, with the aim of inflation targeting and output smoothing.

Suggested Citation

  • Shengzu Wang & Jagdish Handa, 2007. "Monetary policy rules under a fixed exchange rate regime: empirical evidence from China," Applied Financial Economics, Taylor & Francis Journals, vol. 17(12), pages 941-950.
  • Handle: RePEc:taf:apfiec:v:17:y:2007:i:12:p:941-950
    DOI: 10.1080/09603100600749279
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    References listed on IDEAS

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    1. McCallum, Bennett T. & Nelson, Edward, 1999. "Nominal income targeting in an open-economy optimizing model," Journal of Monetary Economics, Elsevier, vol. 43(3), pages 553-578, June.
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    8. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
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    Citations

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    Cited by:

    1. 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.
    2. Luis F. Cernadas & E. René Aldazosa, 2011. "Estimación de una función de reacción para la política monetaria en Bolivia," Monetaria, Centro de Estudios Monetarios Latinoamericanos, vol. 0(1), pages 1-36, enero-mar.
    3. Yu Hsing, 2009. "Is the monetary policy rule responsive to exchange rate changes? The case of Indonesia, Malaysia, the Philippines, and Thailand," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 56(2), pages 123-132, June.
    4. F. Zagonari, 2015. "Coherence, efficiency, and independence of the EU environmental policy system: results of complementary statistical and econometric analyses," Working Papers wp992, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. Bhuyan, Biswabhusan & Sethi, Dinabandhu, 2016. "An Augmented Taylor rule for India’s Monetary Policy: Does Governor Regime Matters?," MPRA Paper 75287, University Library of Munich, Germany.
    6. Sushanta Mallick & Ricardo Sousa, 2013. "Commodity Prices, Inflationary Pressures, and Monetary Policy: Evidence from BRICS Economies," Open Economies Review, Springer, vol. 24(4), pages 677-694, September.
    7. Jawadi, Fredj & Mallick, Sushanta K. & Sousa, Ricardo M., 2016. "Fiscal and monetary policies in the BRICS: A panel VAR approach," Economic Modelling, Elsevier, vol. 58(C), pages 535-542.
    8. Shawkat Hammoudeh & Duc Khuong Nguyen & Ricardo M. Sousa, 2014. "China’s Monetary Policy and Commodity Prices," Working Papers 2014-298, Department of Research, Ipag Business School.
    9. Sergi Bruno S. & Hsing Yu, 2010. "Responses of Monetary Policy to Inflation, the Output Gap, and Real Exchange Rates: The Case of Australia, Canada, and New Zealand," Global Economy Journal, De Gruyter, vol. 10(2), pages 1-11, May.
    10. Alain Durré & Philippe Ledent, 2012. "The Two-tier foreign exchange market and the conduct of monetary policy: The Belgian case during Bretton-Woods era," Working Papers 2012-ECO-10, IESEG School of Management.
    11. 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.
    12. Christina Christou & Ruthira Naraidoo & Rangan Gupta & Won Joong Kim, 2017. "Monetary Policy Reaction Functions of the TICKs: A Quantile Regression Approach," Working Papers 201738, University of Pretoria, Department of Economics.

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