Declan R Carroll, Stephen J Conroy, Adriana Vamosiu
{"title":"The importance of political and religious affiliation in explaining county-level COVID-19 Vaccine Hesitancy.","authors":"Declan R Carroll, Stephen J Conroy, Adriana Vamosiu","doi":"10.1186/s13561-025-00605-y","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":46936,"journal":{"name":"Health Economics Review","volume":"15 1","pages":"29"},"PeriodicalIF":2.7000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11966783/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Economics Review","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1186/s13561-025-00605-y","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍：
Health Economics Review is an international high-quality journal covering all fields of Health Economics. A broad range of theoretical contributions, empirical studies and analyses of health policy with a health economic focus will be considered for publication. Its scope includes macro- and microeconomics of health care financing, health insurance and reimbursement as well as health economic evaluation, health services research and health policy analysis. Further research topics are the individual and institutional aspects of health care management and the growing importance of health care in developing countries.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
