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How does inflation determine inflation uncertainty? A Chinese perspective

Author

Listed:
  • Chi-Wei Su

    (Ocean University of China)

  • Hui Yu

    (Ocean University of China)

  • Hsu-Ling Chang

    (Ling Tung University)

  • Xiao-Lin Li

    (Ocean University of China)

Abstract

Using a bootstrap Granger full-sample causality test and a sub-sample rolling window estimation, this paper examines the causal link between inflation and inflation uncertainty in China. The results show that high inflation leads to high inflation uncertainty, supporting Friedman-Ball’s hypothesis (1992) and Holland’s theory (J Money Credit Bank 27:827–837, 1995). Furthermore, significant feedback exists from inflation uncertainty to inflation in some periods, supporting Holland’s theory (J Money Credit Bank 27:827–837, 1995) that inflation uncertainty has a negative effect on inflation. We find that the relationship between inflation and inflation uncertainty varies across time. The Chinese monetary authority needs to ensure a quick and effective policy response to inflation development because doing so will help reduce inflation, eliminate many of the costs associated with high inflation and therefore minimize the marginal effect of inflation on inflation uncertainty. However, quantitative tools for China’s monetary policy are also warranted. In the long term, the importance of keeping inflation low, stable, and predictable cannot be overemphasized.

Suggested Citation

  • Chi-Wei Su & Hui Yu & Hsu-Ling Chang & Xiao-Lin Li, 2017. "How does inflation determine inflation uncertainty? A Chinese perspective," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1417-1434, May.
  • Handle: RePEc:spr:qualqt:v:51:y:2017:i:3:d:10.1007_s11135-016-0341-2
    DOI: 10.1007/s11135-016-0341-2
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    Cited by:

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    2. Jiranyakul, Komain, 2020. "The Linkages between Inflation and Inflation Uncertainty in Selected Asian Economies: Evidence from Quantile Regression," MPRA Paper 99868, University Library of Munich, Germany.

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    More about this item

    Keywords

    Inflation; Inflation uncertainty; Rolling window; Bootstrap; Time-varying causality; GJR-GARCH;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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