Investigating the social, economic and political consequences of Covid-19: A rolling cross-section approach

In this article, we present an application of the rolling cross-section (RCS) design to monitor changes in public opinion during the COVID-19 pandemic in Italy (ResPOnsE Covid-19 project, University of Milan Statale). The RCS is a dynamic survey tool used predominantly in the analyses of public opin...

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Bibliographic Details
Published in:Survey research methods 2020-06, Vol.14 (2)
Main Authors: Cristiano Vezzoni, Riccardo Ladini, Francesco Molteni, Giulia M. Dotti Sani, Ferruccio Biolcati, Antonio Chiesi, Marco Maraffi, Simona Guglielmi, Andrea Pedrazzani, Paolo Segatti
Format: Article
Language:English
Subjects:
Covid-19
dynamic analysis
policy-making
research infrastructure
rolling cross-section
survey methods
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Summary:In this article, we present an application of the rolling cross-section (RCS) design to monitor changes in public opinion during the COVID-19 pandemic in Italy (ResPOnsE Covid-19 project, University of Milan Statale). The RCS is a dynamic survey tool used predominantly in the analyses of public opinion during electoral campaigns. Because of its dynamic nature, we argue that it is an ideal instrument to monitor public opinion during a pandemic. Specifically, we present an RCS online survey implemented in Italy from April to July 2020 and we present some illustrative analyses of changes in behaviors, attitudes, and opinions during the Covid-19 crisis to highlight the potential of the design. Ultimately, we assert that RCS surveys could be very powerful instruments to inform policy makers of the dynamics of public opinion during a crisis, especially when inserted within existent high-quality survey infrastructures.
ISSN:1864-3361
DOI:10.18148/srm/2020.v14i2.7745