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Multivariate model-based gap measures and a new Phillips curve for China

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  • Zhang, Chengsi
  • Murasawa, Yasutomo

Abstract

This paper examines empirically the Phillips curve relationship for the Chinese economy. We use quarterly data that go back to 1978 and employ a multivariate rather than univariate method in the construction of gap measures for inflation, money and output jointly with reliable error bands. Our empirical results show that the inflation gap and the output gap fit a New Phillips curve very well. We also find some structural change in the inflation–output trade-off.

Suggested Citation

  • Zhang, Chengsi & Murasawa, Yasutomo, 2012. "Multivariate model-based gap measures and a new Phillips curve for China," China Economic Review, Elsevier, vol. 23(1), pages 60-70.
    • Handle: RePEc:eee:chieco:v:23:y:2012:i:1:p:60-70
    DOI: 10.1016/j.chieco.2011.07.014
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    Cited by:

    1. 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.
    2. Han, Yang & Liu, Zehao & Ma, Jun, 2020. "Growth cycles and business cycles of the Chinese economy through the lens of the unobserved components model," China Economic Review, Elsevier, vol. 63(C).

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    More about this item

    Keywords

    Phillips curve; Bayesian estimator; Output gap; Structural change;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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