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Is US trade policy uncertainty powerful enough to predict global output volatility?

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  • Godwin Olasehinde-Williams
Abstract
Trade policy uncertainty is at an all-time high in the United States and continues to escalate. This paper empirically examined the ability of US trade policy uncertainty to predict global output volatility. To this end, a battery of econometric tests was employed—Toda and Yamamoto linear Granger causality test, nonparametric test for nonlinear causality, and nonlinear Granger causality test in frequency domain. Findings based on standard linear Granger causality tests suggested that US trade policy uncertainty is not a significant predictor of global output volatility. Further tests, however, showed that due to the presence of nonlinearities in the US trade policy uncertainty–global output volatility nexus, the linear Granger causality framework initially relied upon might have led to misspecification. Consequently, a nonparametric causality test was further conducted. The test results showed that in fact the US trade policy uncertainty is a significant predictor of global output volatility. To further verify the findings, the powerful frequency domain-based Granger causality test which is able to detect causality at short, medium and longer horizons was conducted. The test findings again confirmed that trade policy uncertainty emanating from the United States is a significant predictor of global output volatility.

Suggested Citation

  • Godwin Olasehinde-Williams, 2021. "Is US trade policy uncertainty powerful enough to predict global output volatility?," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 30(1), pages 138-154, January.
    • Handle: RePEc:taf:jitecd:v:30:y:2021:i:1:p:138-154
    DOI: 10.1080/09638199.2020.1806912
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    Cited by:

    1. Lee, Chien-Chiang & Olasehinde-Williams, Godwin & Özkan, Oktay, 2023. "Geopolitical oil price uncertainty transmission into core inflation: Evidence from two of the biggest global players," Energy Economics, Elsevier, vol. 126(C).
    2. Rasheed O. Alao & Abdulkareem Alhassan & Saheed Alao & Ifedolapo O. Olanipekun & Godwin O. Olasehinde-Williams & Ojonugwa Usman, 2023. "Symmetric and asymmetric GARCH estimations of the impact of oil price uncertainty on output growth: evidence from the G7," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-14, December.
    3. Godwin Olasehinde-Williams & Oktay Özkan, 2022. "Is interest rate uncertainty a predictor of investment volatility? evidence from the wild bootstrap likelihood ratio approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 507-521, July.

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