Hostname: page-component-76d6cb85b7-mgxrv Total loading time: 0 Render date: 2026-07-23T13:57:08.245Z Has data issue: false hasContentIssue false

Crisis signaling: how Italy's coronavirus lockdown affected incumbent support in other European countries

Published online by Cambridge University Press:  08 March 2021

Catherine E. De Vries*
Affiliation:
Department of Social and Political Sciences, Dondena Centre, Bocconi University, Via Roentgen 1, 20136, Milan, Italy
Bert N. Bakker
Affiliation:
Amsterdam School of Communication Research, University of Amsterdam, Nieuwe Achtergracht 166, 1001 NG, Amsterdam, The Netherlands
Sara B. Hobolt
Affiliation:
Department of Government, London School of Economics and Political Science, Houghton Street, WC2A 2AE, London, UK
Kevin Arceneaux
Affiliation:
Department of Political Science, Temple University, 1115 Polett Walk, Philadelphia, PA 19122, USA
*
*Corresponding author. Email: catherine.devries@unibocconi.it
Rights & Permissions [Opens in a new window]

Abstract

The COVID-19 pandemic is an unparalleled global crisis. Yet, despite the grave adversity faced by citizens, incumbents around the world experienced a boost in popularity during the onset of the outbreak. In this study, we examine how the response to the COVID-19 outbreak in one country affected incumbent support in other countries. Specifically, we leverage the fact that the first country-wide lockdown on European soil, in Italy on 9 March 2020, happened during the fieldwork of surveys conducted in four other European countries, France, Germany, Poland and Spain. This allows us to examine how an event abroad that alerted citizens to an imminent crisis—prior to a similar domestic government response—influenced incumbent support. Our results indicate a crisis signal effect of Italy's COVID-19 lockdown, as support for the incumbent increased domestically in other European countries after the lockdown. Importantly, these findings suggest that incumbents can benefit from a crisis unfolding in other countries, even when their own performance in response to the same crisis is not yet fully clear. They illustrate the importance of developments abroad for incumbent approval and the difficulty facing citizens seeking to disentangle performance signals from exogenous shocks.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the European Political Science Association
Figure 0

Figure 1. Google trends data in four countries for “lockdown” searches.Note: This figure shows Google Trends data for the search term “Lockdown” in English or the national equivalent. Google Trends data give an overview of the search volume of keywords used on the Google search engine. In order to make comparisons between search terms easier, each data point is divided by the total searches in a country on a given day and time range, and is then scaled on a range of 0–100 based on a topics proportion to all searches. The dotted line signifies the date of the Italian lockdown.

Figure 1

Figure 2. Google trends data in four countries for “intensive care unit” searches.Note: This figure shows Google Trends data for the search term “Intensive Care Unit” in the national equivalent. Google Trends data an overview of the search volume of keywords used on the Google search engine. In order to make comparisons between search terms easier, each data point is divided by the total searches in a country on a given day and time range, and is then scaled on a range of 0–100 based on a topics proportion to all searches. The dotted line signifies the date of the Italian lockdown.

Figure 2

Table 1. Balance tests

Figure 3

Figure 3. Effect of Italian lockdown on Government Party support, PM Party support, Far Right Party support and left-right ideology in France, Germany, Poland and Spain.Note: Unstandardized regression coefficients of models with (black) and without (gray) controls. The dot is the point estimate and the thick bars are 90 percent confidence intervals and the thin bars are 95 percent confidence intervals. Full regression output belonging to all models can be found in the online appendix, Table A1 (models without controls), Table A.2 (models with controls) and robustness checks in Tables A2 and A3.

Figure 4

Figure 4. Effect of Italian Lockdown on Government Party support, PM Party support, Far Right Party support and left-right ideology in France, Germany, Poland and Spain, sample is restricted to the day before national lockdown.Note: Unstandardized regression coefficients of models with (black) and without (gray) controls. The dot is the point estimate and the thick bars are 90 percent confidence intervals and the thin bars are 95 percent confidence intervals. Full regression output belonging to all models can be derived from the replication files.

Figure 5

Figure 5. Placebo tests of effect of Italian lockdown on Government Party support, PM Party support, Far Right Party support and left-right ideology in France, Germany, Poland and Spain.Note: Unstandardized regression coefficients of models with (black) and without (gray) controls. The dot is the point estimate and the thick bars are 90 percent confidence intervals and the thin bars are 95 percent confidence intervals. Full regression results belonging to all models can be derived from the replication files.

Figure 6

Figure 6. Average marginal effect of Italian lockdown on Government Party support, PM Party support, Far Right Party support and left-right ideology in France, Germany, Poland and Spain over the range of education.Note: average marginal effect of lockdown on the dependent variable. The dot is the average marginal effect and the thick bars are 95 percent confidence intervals. Full regression output can be derived from the replication files.

Supplementary material: Link

De Vries et al. Dataset

Link
Supplementary material: PDF

De Vries et al. supplementary material

De Vries et al. supplementary material

Download De Vries et al. supplementary material(PDF)
PDF 226.1 KB