The importance of political and religious affiliation in explaining county-level COVID-19 Vaccine Hesitancy
The authors use county-level data to test whether an array of socioeconomic, demographic, political and religious variables explain COVID-19 vaccination rates. Results presented here build upon previous investigations of COVID-19 vaccine hesitancy in different contexts and are largely consistent with those findings. Background controls such as county's percent male (+), median age (+), percent White (-), median household income (+), percent self-employed (-), and the percent with a college or higher education (+) explain county-level vaccination rates for COVID-19. Political affiliation (Percent Republican (-)) remains the strongest predictor in terms of overall statistical significance. The county's percent Catholic (+) and percent Evangelical (-) are also very strong predictors, though in opposite directions. This analysis includes state-level fixed effects and several robustness checks.
Authors
- Stephen J. Conroy (ORCID: https://orcid.org/0000-0002-0480-0019)
- Adriana Vamosiu (ORCID: https://orcid.org/0000-0001-8339-1163)
- D. F. Carroll
Institutions
- University of San Diego (US)
- University of Colorado Boulder (US)
Publication Details
- Journal
- Health Economics Review
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1186/s13561-025-00605-y
- Citations
- 1
- Primary Topic
- Vaccine Coverage and Hesitancy
- Type
- article
- Field-Weighted Citation Impact
- 2.17