Contents of the volume

2020, Volume 73 - Issue 4

ISSN: 2499-8265
RSS feed citation: At RePEc
Publication date: 19 November 2020

THE PUBLISHER'S ADDRESS

Luigi Attanasio

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THE PROSPECTS FOR INTERNATIONAL ECONOMIC RELATIONS FOLLOWING THE COVID19 EMERGENCY

Elena Seghezza

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UNITED STATES-CHINA TRADE WAR AND THE EMERGENCE OF GLOBAL COVID-19 PANDEMIC

Oluwole Owoye, Olugbenga A. ONAFOWORA

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WHEN THE CONTAGION EFFECT WENT LIVE: THE FIRST RESPONSES TO THE COVID-19 PANDEMIC

Lorenzo Esposito, Giuseppe Mastromatteo

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COVID-19: A PERSPECTIVE FOR THE ITALIAN HEALTH SERVICE

Giuseppe Profiti

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THE IDES OF MARCH. DID ITALIAN COVID-19 CRISIS FUEL US ECONOMIC POLICY UNCERTAINTY?

Georgios Garafas, Dimitrios DIMITRIOU

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THE IMPACT OF CORONAVIRUS AND THE POLICIES NEEDED

Nicola Acocella

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Genoa Chamber of Commerce
Economia Internazionale / International Economics

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Corresponding author

Georgios GARAFAS, Department of Business Administration of Food and Agricultural Enterprises, University of Patras, Greece

Co-authors

Dimitrios DIMITRIOU, Department of Business Administration, Athens University of Economic and Business, Athens, Greece

The Ides of March. Did Italian Covid-19 Crisis Fuel US Economic Policy Uncertainty?

Pages

511-524

Abstract

This paper empirically investigates the possibility the Italian severe hit from the COVID-19 pandemic increased the US’s Economic Policy Uncertainty (EPU) index. Using Johansen cointegration and Granger causality econometric techniques, we conclude that the above relationship holds. It seems that the recent COVID-19 disaster occurred in Italy (due to high death toll) fueled the economic uncertainty in the US. It is high possible, the anxiety of US citizens propelled this pattern. These results show that the policy makers should be more cautious for the global propagation of COVID-19, in order to improve their political decisions, even in the US.

JEL classification

D80, E66, F68

Keywords

Economic Uncertainty, VAR, Cointegration, Granger Causality, COVID-19

Index

  1. Introduction
  2. Data overview
  3. Empirical analysis
  4. Conclusions

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