Replication Data for: Omicron and Likelihood of Receiving a COVID-19 Vaccine Booster: Evidence from a Randomized Choice-Based Experiment
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Replication Data for: Omicron and Likelihood of Receiving a COVID-19 Vaccine Booster: Evidence from a Randomized Choice-Based Experiment
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Identifier |
https://doi.org/10.7910/DVN/DMIMUL
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Creator |
Kriner, Douglas
Raman, Shyam Kreps, Sarah Ziebarth, Nicolaus Simon, Kosali |
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Publisher |
Harvard Dataverse
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Description |
Vaccination has emerged as a pandemic off-ramp across the world, but waning immunity over time and the emergence of new variants have illustrated the importance of booster shots in achieving and sustaining immunity. This research studies the factors that affect the likelihood that individuals will receive the booster. Between December 14-17, 2021, a choice-based conjoint was conducted to estimate respondents’ likelihood of receiving a booster. The analysis focuses on the 549 respondents who were fully vaccinated but had not yet received a COVID-19 booster at the time of our survey. Booster attributes included efficacy defined as protection against symptomatic illness, protection duration, manufacturer, and monetary incentives. Attributes were randomly assigned for hypothetical vaccines. Conjoint analysis showed high efficacy rates had the largest impact on reported likelihood of receiving a booster, followed by financial incentives. Protection duration and protection against future variants had modest effects. Subjects most preferred a booster by Pfizer, followed by Moderna, and then by Johnson & Johnson. Finally, an opening contextual experimental prime telling respondents that early results suggest the omicron variant could be more contagious, but less lethal than earlier variants (vs. a control group baseline in which both were described as unknown) significantly increased likelihood of receiving the booster. |
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Subject |
Medicine, Health and Life Sciences
Social Sciences COVID-19 Vaccine booster public opinion survey experiment |
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Contributor |
Kriner, Douglas
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