German Public Attitudes on COVID-19 Treatment Cost-Sharing, July 2022 Survey

A randomized controlled survey experiment conducted in July 2022 with 6,725 German respondents. The data assesses public support for requiring unvaccinated individuals to contribute to COVID-19 hospitalization costs and examines the influence of different message framings. The dataset was created by Sebastian Jäckle and is hosted on Dataverse.

Use Cases

• Analyze the effect of economic and health consequence framings on policy support based on the randomized experiment design.
• Model the relationship between vaccination status and support for cost-sharing based on the finding that fully vaccinated individuals were 96-times more likely to support it.
• Investigate how political affiliation moderates framing effects based on the divergent responses to Long COVID frames among CDU/CSU and SPD supporters.
• Study the influence of personality traits on attitudes towards public health policies as mentioned in the description.

Strengths

• Large sample size of 6,725 respondents, providing statistical power.
• Randomized controlled experiment design with five study arms, allowing for causal inference.
• Specific findings reported, such as 46.6% support in the control group and a 27% increase in support from one economic frame.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is specific to Germany in July 2022, which may limit generalizability to other contexts or times.

Provenance

Source

Sebastian Jäckle Dataverse

Collection Method

Randomized controlled survey experiment.

Time Range

July 2022

Freshness

Last updated 2026-05-04 14:09:16; freshness should be verified.

Geography

Germany