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Are Uncertainties across the World Convergent?

Author

Listed:
  • Christina Christou

    (Open University of Cyprus)

  • Giray Gozgor

    (Istanbul Medeniyet University)

  • Rangan Gupta

    (University of Pretoria)

  • Chi keung Marco Lau

    (University of Huddersfield)

Abstract

We analyze the convergence of a news-based measure of uncertainty across 143 countries (spanning 99 percent of world GDP) over the quarterly period of 1996Q1 to 2018Q3. We apply a panel data-based unit root test, which controls both nonlinearity and cross-sectional dependence, to the ratio of the uncertainty of individual countries relative to that of global uncertainty. We find overwhelming evidence of stationarity in 141 of the cross-sectional units, leading to a rejection of the null of a unit root for the entire panel. Our results provide strong evidence of convergence and hence, the spillover of uncertainty across the economies of the world. Given this, policymakers need to be alert all the time to counteract the negative impact on the domestic economy in the wake of uncertainty increases around the world.

Suggested Citation

  • Christina Christou & Giray Gozgor & Rangan Gupta & Chi keung Marco Lau, 2020. "Are Uncertainties across the World Convergent?," Economics Bulletin, AccessEcon, vol. 40(1), pages 855-862.
  • Handle: RePEc:ebl:ecbull:eb-19-00608
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    References listed on IDEAS

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    Cited by:

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    2. Bonga, Wellington Garikai, 2019. "Measuring Macroeconomic Uncertainty in Zimbabwe," MPRA Paper 94759, University Library of Munich, Germany.
    3. Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers," Energies, MDPI, vol. 14(14), pages 1-15, July.
    4. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2021. "Uncertainty and Forecastability of Regional Output Growth in the United Kingdom: Evidence from Machine Learning," Working Papers 202111, University of Pretoria, Department of Economics.
    5. Gupta, Rangan & Lau, Chi-Keung (Marco) & Sheng, Xin, 2020. "Graph theory-based network analysis of regional uncertainties of the US Economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    6. Aviral Kumar Tiwari & Micheal Kofi Boachie & Rangan Gupta, 2021. "Network Analysis of Economic and Financial Uncertainties in Advanced Economies: Evidence from Graph-Theory," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(1), pages 188-215, March.
    7. Mehmet Balcilar & David Gabauer & Rangan Gupta & Christian Pierdzioch, 2022. "Uncertainty and forecastability of regional output growth in the UK: Evidence from machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1049-1064, September.

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    More about this item

    Keywords

    uncertainty; economic policy; convergence; panel data; nonlinear unit root test;
    All these keywords.

    JEL classification:

    • O5 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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