Time-Varying Impact of Pandemics on Global Output Growth
Rangan Gupta (),
Xin Sheng (),
Mehmet Balcilar () and
Qiang Ji ()
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Xin Sheng: Lord Ashcroft International Business School, Anglia Ruskin University, Chelmsford, CM1 1SQ, United Kingdom
Qiang Ji: Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China; School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
No 202062, Working Papers from University of Pretoria, Department of Economics
This paper analyses the dynamic impact of uncertainty due to global pandemics (SARS, H5N1, H1N1, MERS, Ebola, and COVID-19) on global output growth for the quarterly period of 1996:Q1 to 2020:Q1, using a time-varying parameter structural vector autoregressive (TVP-SVAR) model. Besides the index based on the discussion about pandemics which appear in Economist Intelligence Unit (EIU) country reports, our model contains the growth rate of the United States (US), advanced economies excluding the US, and emerging market countries. We find that the negative effect of the coronavirus on the growth rate of output is unprecedented, with the emerging markets being the worst hit. We also find that since 2016, the comovement among the growth rates has increased significantly. Our results imply that policymakers would need to undertake massive expansionary policies, but it is also important to pursue well-coordinated policy decisions across the economic blocs.
Keywords: Pandemics-related uncertainty; output growth; TVP-SVAR (search for similar items in EconPapers)
JEL-codes: C32 D80 E23 E32 (search for similar items in EconPapers)
Pages: 7 pages
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