Trust predicts compliance with COVID-19 containment policies : evidence from ten countries using Big Data
Francesco Sarracino, Talita Greyling, Kelsey O'Connor, Chiara Peroni, Stephanie Rossouw
Previous evidence indicates 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 or self-reported measures are good proxies for compliance. This study is the first to use a time-varying measure of compliance to study the relationship between compliance and trust in others and institutions over the period from March 2020 to January 2021 in ten mostly European countries. We calculate a time-varying measure of compliance as the association between containment policies and people's mobility behavior using data from the Oxford Policy Tracker and Google. Additionally, we develop measures of trust in others and national institutions by applying emotion analysis to Twitter data. We test the predictive role of our trust measures using various panel estimation techniques. Our findings demonstrate that compliance does change over time and that increasing (decreasing) trust in others predicts increasing (decreasing) compliance. This evidence indicates compliance should not be taken for granted, and confirms the importance of cultivating trust in others. Nurturing trust in others, through ad-hoc policies such as community activity programs and urban design to facilitate social interactions, can foster compliance with public policies.
Year of publication: |
March 2022
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Authors: | Sarracino, Francesco ; Greyling, Talita ; O'Connor, Kelsey J. ; Peroni, Chiara ; Rossouw, Stephanie |
Publisher: |
Bonn, Germany : IZA - Institute of Labor Economics |
Subject: | compliance | COVID-19 | trust | big data | Twitter | Coronavirus | Big Data | Big data | Vertrauen | Confidence | Data Mining | Data mining | Normbefolgung | Legal compliance | Compliance-Management | Compliance management |
Saved in:
freely available
Extent: | 1 Online-Ressource (circa 36 Seiten) Illustrationen |
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Series: | Discussion paper series / IZA. - Bonn : IZA, ZDB-ID 2120053-1. - Vol. no. 15171 |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
Language: | English |
Other identifiers: | hdl:10419/263387 [Handle] |
Classification: | D91 - Intertemporal Consumer Choice; Life Cycle Models and Saving ; I18 - Government Policy; Regulation; Public Health ; h12 |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013170799