Are uncertainties across the world convergent?
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Date
Authors
Christou, Christina
Gozgor, Giray
Gupta, Rangan
Lau, Chi Keung Marco
Journal Title
Journal ISSN
Volume Title
Publisher
Economics Bulletin
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.
Description
Keywords
Uncertainty, Economic policy, Convergence, Panel data, Nonlinear unit root test
Sustainable Development Goals
Citation
Christina Christou and Giray Gozgor and Rangan Gupta and Chi keung Marco Lau, (2020) ''Are Uncertainties across the World
Convergent?'', Economics Bulletin, Volume 40, Issue 1, pages 855-862.