The importance of political and religious affiliation in explaining county-level COVID-19 Vaccine Hesitancy
Abstract 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 consi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-04-01
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| Series: | Health Economics Review |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13561-025-00605-y |
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| Summary: | Abstract 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. |
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| ISSN: | 2191-1991 |