Trust Predicts Compliance to COVID-19 Containment Policies: Evidence From Ten Countries Using Big Data

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aut.relation.softwareversion858en_NZ
aut.researcherRossouw, Stephanie
dc.contributor.authorRossouw, Sen_NZ
dc.contributor.authorGreyling, Ten_NZ
dc.contributor.authorSarracino, Fen_NZ
dc.contributor.authorO'Connor, Ken_NZ
dc.contributor.authorPeroni, Cen_NZ
dc.date.accessioned2021-10-12T21:42:38Z
dc.date.available2021-10-12T21:42:38Z
dc.date.copyright2021-06-30en_NZ
dc.date.issued2021-06-30en_NZ
dc.description.abstractPrevious 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 behaviour 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.
dc.identifier.citationQuaderni DEPS, Anno 2021 da n.849 a n.
dc.identifier.urihttps://hdl.handle.net/10292/14574
dc.publisherQuaderni Del Dipartimentoen_NZ
dc.relation.urihttps://www.deps.unisi.it/it/ricerca/pubblicazioni-deps/quaderni-deps/anno-2021-da-n849-n/858-trust-predicts-compliance-covid-19en_NZ
dc.rightsThe study is supported by the Luxembourg National Research Fund (grant number FNR-14878312). FNR Open Access Policy Version: 03/I/2021. Regardless of the open access option chosen, the publication must be deposited in a repository by the publisher or the authors for long-term archiving from the date of publication. Either institutional or discipline-specific repositories can be chosen for this purpose (see Directory of Open Access Repositories (OpenDOAR).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectCompliance; COVID-19; Trust; Big data; Twitter
dc.titleTrust Predicts Compliance to COVID-19 Containment Policies: Evidence From Ten Countries Using Big Dataen_NZ
dc.typeWorking paper
pubs.elements-id432830
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Business School Accreditation
pubs.organisational-data/AUT/Business School Accreditation/2020
pubs.organisational-data/AUT/Faculty of Business, Economics and Law
pubs.organisational-data/AUT/Faculty of Business, Economics and Law/NZ Work Research Institute
pubs.organisational-data/AUT/Faculty of Culture & Society
pubs.organisational-data/AUT/Faculty of Culture & Society/School of Social Science & Public Policy
pubs.organisational-data/AUT/Faculty of Culture & Society/School of Social Science & Public Policy/School Office
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Business Economics and Law
pubs.organisational-data/AUT/PBRF/PBRF Business Economics and Law/Faculty Review Team PBRF 2018
pubs.organisational-data/AUT/PBRF/PBRF Business Economics and Law/School of Economics PBRF 2018
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