• Media type: E-Book
  • Title: Predicting COVID-19 vaccine uptake
  • Contributor: Pronkina, Elizaveta [VerfasserIn]; Rees, Daniel I. [VerfasserIn]
  • imprint: Bonn, Germany: IZA - Institute of Labor Economics, October 2022
  • Published in: Forschungsinstitut zur Zukunft der Arbeit: Discussion paper series ; 15625
  • Extent: 1 Online-Ressource (circa 42 Seiten); Illustrationen
  • Language: English
  • Identifier:
  • Keywords: vaccination ; COVID-19 ; flu ; SHARE ; Graue Literatur
  • Origination:
  • Footnote:
  • Description: Although COVID-19 vaccines are safe and effective, many adults are hesitant or unwilling to use them. Drawing on data from the Survey of Health, Ageing and Retirement in Europe (SHARE) Corona survey, we examine the correlates of vaccine uptake among Europeans ages 50 and older. We find that self-reported trust and risk aversion are good predictors of COVID-19 vaccine uptake. By contrast, there is little evidence that either excess mortality during the pandemic or official case counts influenced whether SHARE Corona respondents were vaccinated against COVID-19.
  • Access State: Open Access