COVID-19 has generated a substantial increase in the level of economic policy uncertainty (EPU) around the World. Recent empirical investigations suggest that the COVID-19 has played a key role in amplifying the overall level of political uncertainty. In Italy, where anti-COVID-19 measures were implemented with some delay and were badly communicated, EPU rose dramatically. We examine the implications of rising COVID-19-related uncertainty for company revenues, gross operating margin and employment in 16 different Italian sectors. Our findings indicate construction, education, manufacturing activities and hospitality as the most hit sectors, with an average short-term drop in company revenues of around 4% in annual terms and a recovery time of almost two years. Thus, COVID-19-related uncertainty is found to be a significant business cycle driver.

On the Impact of COVID-19-Related Uncertainty / Gufler, Ivan; Donadelli, Michael; Castellini, Marta. - (2020), pp. 219-232. [10.30687/978-88-6969-442-4/016]

On the Impact of COVID-19-Related Uncertainty

Gufler, Ivan;Donadelli, Michael
;
2020

Abstract

COVID-19 has generated a substantial increase in the level of economic policy uncertainty (EPU) around the World. Recent empirical investigations suggest that the COVID-19 has played a key role in amplifying the overall level of political uncertainty. In Italy, where anti-COVID-19 measures were implemented with some delay and were badly communicated, EPU rose dramatically. We examine the implications of rising COVID-19-related uncertainty for company revenues, gross operating margin and employment in 16 different Italian sectors. Our findings indicate construction, education, manufacturing activities and hospitality as the most hit sectors, with an average short-term drop in company revenues of around 4% in annual terms and a recovery time of almost two years. Thus, COVID-19-related uncertainty is found to be a significant business cycle driver.
2020
978-88-6969-442-4
On the Impact of COVID-19-Related Uncertainty / Gufler, Ivan; Donadelli, Michael; Castellini, Marta. - (2020), pp. 219-232. [10.30687/978-88-6969-442-4/016]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11385/205501
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