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.

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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
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article

The importance of political and religious affiliation in explaining county-level COVID-19 Vaccine Hesitancy

Stephen J. Conroy, Adriana Vamosiu, D. F. Carroll
1 citations
Health Economics Review
Vaccine Coverage and Hesitancy
2.17
article

The importance of political and religious affiliation in explaining county-level COVID-19 Vaccine Hesitancy

Stephen J. Conroy, Adriana Vamosiu, D. F. Carroll
article en
1 citations

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.

Health Economics ReviewVol. 15(1)
University of San Diego (US), University of Colorado Boulder (US)
Openalex Percentile: Top 16%
Vaccine Coverage and Hesitancy
2.17
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The importance of political and religious affiliation in explaining county-level COVID-19 Vaccine Hesitancy — Stephen J. Conroy, Adriana Vamosiu, et al. · Health Economics Review (2025) | TGRS Research Map | TGRS