Summary information

Study title

Replication Data for: "Overcoming COVID-19 vaccination resistance when alternative policies affect the dynamics of conformism, social norms, and crowding out"

Creator

Schmelz, Katrin ( Universität Konstanz)
Bowles, Samuel ( Santa Fe Institute)

Study number / PID

10.7802/2272 (GESIS)

10.7802/2272 (DOI)

Data access

Information not available

Series

Not available

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.

Topics

Not available

Methodology

Data collection period

29/04/2020 - 06/11/2020

Country

Germany

Time dimension

Longitudinal (panel study)

Analysis unit

Not available

Universe

Wohnbevölkerung über 18 Jahre

Sampling procedure

Non-probability Sample - Quota Sample

Kind of data

Not available

Data collection mode

Web-based interview

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2021

Terms of data access

Free access (without registration) - The research data can be downloaded directly by anyone without further limitations. CC BY-SA 4.0: Attribution – ShareAlike (https://creativecommons.org/licenses/by-sa/4.0/deed.de)

Related publications

Not available