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ABSTRACT: Objective
The aim was to examine which factors contribute to the willingness to pay (WTP) for health insurance in Germany.Methods
Cross-sectional data are taken from a large, population-based study (GESIS panel, wave 50, n = 4,447; November 2022 to January 2023). Willingness to pay for health insurance served as outcome measure. Socioeconomic, health-related, coronavirus-related, and political spectrum-related factors were included as independent variables. Multiple linear regressions with cluster-robust standard errors were used.Results
Monthly average WTP for health insurance was €258 (SD: €210). A higher WTP for health insurance was associated with being male (female vs. male: β = -0.56.6, 95% CI: -67.7 to -45.5), being older (β = 2.1, 95% CI: 1.6-2.6), higher ed
SUBMITTER: Hajek A
PROVIDER: S-EPMC12847358 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature