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The dynamic causality between commodity prices, inflation and output in China: a bootstrap rolling window approach

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  • Xu Zhang
  • Xiaoxing Liu
  • Jianqin Hang
  • Dengbao Yao

Abstract

In this article, we empirically study the time-varying bilateral causality between commodity prices, inflation and output in China. We first perform a series of parameter stability tests and find strong evidence of instability in the parameters estimated for Granger causality tests. We then use the bootstrap rolling window approach to test the causality and find that the causality from commodity prices to both inflation and output is time-varying in the entire sample period and asymmetric in different phases of the business cycle. We also find evidence of the causality from both inflation and output to commodity prices in certain sub-periods. Further discussion on the cost-price mechanism through which the economy fluctuates cyclically suggests that the dynamic causality between commodity prices and inflation contributes to understanding the nature of economic fluctuations and to forecasting economic crises. Overall, our results provide a new perspective to disentangle economic fluctuations.

Suggested Citation

  • Xu Zhang & Xiaoxing Liu & Jianqin Hang & Dengbao Yao, 2018. "The dynamic causality between commodity prices, inflation and output in China: a bootstrap rolling window approach," Applied Economics, Taylor & Francis Journals, vol. 50(4), pages 407-425, January.
    • Handle: RePEc:taf:applec:v:50:y:2018:i:4:p:407-425
    DOI: 10.1080/00036846.2017.1321835
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