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Identifying Early Adopters of COVID-19 Vaccines in Latin America

Author

Listed:
  • Alejandro Arrieta

    (Department of Health Policy and Management, Florida International University)

  • Ariadna García-Prado

    (Department of Economics, Universidad Publica de Navarra, Spain)

  • Juan Pablo Sarmiento

    (Extreme Events Institute, Florida International University)

  • Carmen Paz Castro

    (Department of Geography, Universidad de Chile, Chile)

Abstract

COVID-19 vaccine hesitancy is currently one of the main obstacles to worldwide herd immunity and socioeconomic recovery. Because vaccine coverage can vary between and within countries, it is important to identify sources of variation so that policies can be tailored to different population groups. In this paper, we analyze the results from a survey designed and implemented in order to identify early adopters and laggers in six big cities of Latin America. We find that trust in government and science, accurate knowledge about the value of vaccination and vaccine effects, perceived risk of getting sick, and being a student increase the odds to get vaccinated. We also identify potential laggers as women and populations between 20 and 35 years old who are not students. We discuss specific strategies to promote vaccination among these populations groups as well as more general strategies designed to gain trust. These findings are specific to the context of Latin America insofar as the underlying factors associated with the choice to be vaccinated vary significantly by location and in relation to individual-level factors.

Suggested Citation

  • Alejandro Arrieta & Ariadna García-Prado & Juan Pablo Sarmiento & Carmen Paz Castro, 2021. "Identifying Early Adopters of COVID-19 Vaccines in Latin America," Working Papers 2120, Florida International University, Department of Economics.
    • Handle: RePEc:fiu:wpaper:2120
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    File URL: https://economics.fiu.edu/research/pdfs/2021_working_papers/21201.pdf
    File Function: First version, 2021
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    More about this item

    Keywords

    Coronavirus; COVID-19; Vaccines; Latin America;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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