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The politics of vaccine hesitancy in the United States

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  • Jian Cao
  • Christina M. Ramirez
  • R. Michael Alvarez

Abstract

Objective Why are Americans COVID‐19 vaccine hesitant? We test social science hypotheses for vaccine hesitancy, focusing on partisanship, trust in institutions, and social‐demographic characteristics of registered voters. Methods We use survey data from a representative sample of American registered voters collected in November 2020 to study vaccine hesitancy, and the reasons for vaccine hesitancy, at a point in time before the vaccine was available and hence show underlying responses based on beliefs and not on clinical trial data. We use multivariate logistic regression models to test hypotheses on vaccine hesitancy. Results We find that consistently similar groups of people tend to be vaccine hesitant. Specifically, black voters, those between the ages of 45 and 64, female voters, voters without college degrees, voters not worried about the spread of COVID‐19, and voters who are concerned about government and the CDC's handling of the COVID‐19 pandemic, were vaccine hesitant. We also provide intriguing results showing the nuanced reasons that the vaccine hesitant provide. Conclusions Our analysis allows us to establish important baseline information from a social science perspective on vaccine hesitancy at a crucial time, right before COVID‐19 vaccines were beginning to be made available to adult Americans. What emerges from our analysis is a nuanced perspective on vaccine hesitancy in the United States, from this important point in the history of the COVID‐19 pandemic.

Suggested Citation

  • Jian Cao & Christina M. Ramirez & R. Michael Alvarez, 2022. "The politics of vaccine hesitancy in the United States," Social Science Quarterly, Southwestern Social Science Association, vol. 103(1), pages 42-54, January.
  • Handle: RePEc:bla:socsci:v:103:y:2022:i:1:p:42-54
    DOI: 10.1111/ssqu.13106
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    4. James Honaker & Gary King, 2010. "What to Do about Missing Values in Time‐Series Cross‐Section Data," American Journal of Political Science, John Wiley & Sons, vol. 54(2), pages 561-581, April.
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