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Trust predicts compliance to Covid-19 containment policies: evidence from ten countries using big data

Author

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  • Francesco Sarracino
  • Talita Greyling
  • Kelsey J. O'Connor
  • Chiara Peroni
  • Stephanie Rossouw

Abstract

Previous evidence indicates that trust is an important correlate of compliance with Covid-19 containment policies. However, this conclusion hinges on two crucial assumptions: first, that compliance does not change over time, and second, that mobility and self-reported measures are good proxies for compliance. We demonstrate that compliance changes over the period March 2020 to January 2021, in ten mostly European countries, and that increasing (decreasing) trust in others predicts increasing (decreasing) compliance. We develop the first time-varying measure of compliance, which is calculated as the association between containment policies and people’s mobility behavior using data from Oxford Policy Tracker and Google. We also develop new measures of both trust in others and national institutions by applying sentiment analysis to Twitter data. We test the predictive role of trust using a variety of dynamic panel regression techniques. This evidence indicates compliance should not be taken for granted and confirms the importance of cultivating social trust.

Suggested Citation

  • Francesco Sarracino & Talita Greyling & Kelsey J. O'Connor & Chiara Peroni & Stephanie Rossouw, 2021. "Trust predicts compliance to Covid-19 containment policies: evidence from ten countries using big data," Department of Economics University of Siena 858, Department of Economics, University of Siena.
    • Handle: RePEc:usi:wpaper:858
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    Cited by:

    1. Greyling, Talita & Rossouw, Stephanié, 2022. "Re-examining adaptation theory using Big Data: Reactions to external shocks," GLO Discussion Paper Series 1129, Global Labor Organization (GLO).
    2. Martijn J. Burger & Ruut Veenhoven, 2023. "Editorial: Special Issue on Subjective Well-being and Mental Health in the Early Days of COVID-19," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(1), pages 1-8, February.

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    More about this item

    Keywords

    compliance; covid-19; trust; big data; Twitter.;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management

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