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?:about
?:abstract
  • What is an effective vaccination policy to end the COVID-19 pandemic? We address this question in a model of the dynamics of policy effectiveness drawing upon the results of a large panel survey implemented in Germany during the first and second waves of the pandemic. We observe increased opposition to vaccinations were they to be legally required. In contrast, for voluntary vaccinations, there was higher and undiminished support. We find that public distrust undermines vaccine acceptance, apparently because it is associated with a belief that the vaccine is ineffective and, if enforced, compromises individual freedom. We model how the willingness to be vaccinated may vary over time in response to the fraction of the population already vaccinated and whether vaccination has occurred voluntarily or not. A negative effect of enforcement on vaccine acceptance (of the magnitude observed in our panel or even considerably smaller) could result in a large increase in the numbers that would have to be vaccinated unwillingly in order to reach a herd-immunity target. Costly errors may be avoided if policy makers understand that citizens’ preferences are not fixed but will be affected both by the crowding-out effect of enforcement and by conformism.

    This data set provides the data and Stata code used for the article. A detailed description of the variables is available from the corresponding publication. Please cite our paper if you use the data. (xsd:string)
?:archivedAt
?:category
  • Economics (de)
  • Economics (en)
  • Political Science (de)
  • Political Science (en)
  • Psychology (de)
  • Psychology (en)
  • Sociology (de)
  • Sociology (en)
?:citationString
  • Schmelz, Katrin, & Bowles, Samuel (2021): Replication Data for: "Overcoming COVID-19 vaccination resistance when alternative policies affect the dynamics of conformism, social norms, and crowding out". Cluster of Excellence "The Politics of Inequality" (Konstanz). Data File Version 1.0.0, https://doi.org/10.7802/2272 (en)
  • Schmelz, Katrin, & Bowles, Samuel (2021): Replication Data for: "Overcoming COVID-19 vaccination resistance when alternative policies affect the dynamics of conformism, social norms, and crowding out". Exzellenzcluster "The Politics of Inequality" (Konstanz). Datenfile Version 1.0.0, https://doi.org/10.7802/2272 (de)
?:comment
  • Our data set is a subset of a large data set from the Covid-19 survey "Living in exceptional circumstances" of the Cluster of Excellence "The Politics of Inequality" at the University of Konstanz, containing not only our module on support for voluntary vs. enforced COVID-19 vaccination, but also modules from other researchers. The full data set titled "COVID-19 and Social Inequality - Panel" along with the codebook will also be deposited at GESIS datorium. (xsd:string)
?:conditionsOfAccess
  • Free access (without registration) (en)
  • Freier Zugang (ohne Registrierung) (de)
?:currentVersion
  • 1.0.0, https://doi.org/10.7802/2272 (xsd:string)
?:dataCollection
  • Web-based interview (en)
  • Web-basiertes Interview (de)
?:dateCreated
  • 2021 (xsd:gyear)
?:dateModified
  • 2021-01-01 (xsd:date)
?:datePublished
  • 2021 (xsd:gyear)
?:doi
  • 10.7802/2272 ()
?:endDate
  • 2020-01-01 (xsd:date)
?:funder
?:hasFulltext
  • true (xsd:boolean)
is ?:hasPart of
?:license
  • CC BY-SA 4.0: Attribution – ShareAlike (https://creativecommons.org/licenses/by-sa/4.0/deed.de) (xsd:string)
?:measurementTechnique
  • Longitudinal (panel study) (en)
  • Längsschnitt (Panelstudie) (de)
?:name
  • Includes a subset of the data set "COVID-19 and Social Inequality - Panel" (Subtitle) (xsd:string)
  • Replication Data for: "Overcoming COVID-19 vaccination resistance when alternative policies affect the dynamics of conformism, social norms, and crowding out" (xsd:string)
?:principalInvestigator
  • Bowles, Samuel (xsd:string)
  • Schmelz, Katrin (xsd:string)
  • [Wöhler, Thomas; Universität Konstanz (Project Manager) [=] Mozer, Konstantin; Universität Konstanz (Data Collector) [=] Kling, Philipp; Universität Konstanz (Data Manager) [=] Busemeyer, Marius R.; Universität Konstanz (Other) [=] Diehl, Claudia; Universität Konstanz (Other) [=] Bellani, Luna; Universität Konstanz (Other) [=] Koos, Sebastian; Universität Konstanz (Other) [=] Selb, Peter; Universität Konstanz (Other) [=] Hinz, Thomas; Universität Konstanz (Other)] (xsd:string)
?:provider
?:publicationType
  • SowiDataNet|datorium (en)
?:publisher
?:selectionMethod
  • Nicht-Wahrscheinlichkeitsauswahl - Quotenstichprobe (de)
  • Non-probability Sample - Quota Sample (en)
?:sourceInfo
  • Cluster of Excellence "The Politics of Inequality" (Konstanz). Data File Version 1.0.0, https://doi.org/10.7802/2272 (en)
  • Exzellenzcluster "The Politics of Inequality" (Konstanz). Datenfile Version 1.0.0, https://doi.org/10.7802/2272 (de)
  • GESIS-SowiDataNet|datorium (xsd:string)
?:spatialCoverage
?:startDate
  • 2020-01-01 (xsd:date)
?:studyPublications
  • Schmelz, K. & Bowles, S. (2021). Overcoming COVID-19 vaccination resistance when alternative policies affect the dynamics of conformism, social norms, and crowding out. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 118(25).https://doi.org/10.1073/pnas.2104912118 (xsd:string)
rdf:type
?:variableMeasured
  • Wohnbevölkerung über 18 Jahre (xsd:string)