Arbeitspapier
Crowdsourcing interventions to promote uptake of COVID-19 booster vaccines
We apply a novel crowdsourcing approach to provide rapid insights on the most promising interventions to promote uptake of COVID-19 booster vaccines. In the first stage, international experts proposed 46 unique interventions. To reduce noise and potential bias, in the second stage, experts and representative general population samples from the UK and the US rated the proposed interventions on several criteria, including expected effectiveness and acceptability. Sanctions were evaluated as potentially most effective but least accepted. Interventions that received the most positive evaluations regarding both effectiveness and acceptability across evaluation groups were a day off after getting vaccinated, financial incentives, tax benefits, benefit campaigns, and mobile vaccination teams. The results provide useful insights to help governments in their decision which interventions to implement.
- Language
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Englisch
- Bibliographic citation
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Series: Working Papers in Economics and Statistics ; No. 2022-03
- Classification
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Wirtschaft
- Subject
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booster vaccination
COVID-19
interventions
- Event
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Geistige Schöpfung
- (who)
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Böhm, Robert
Betsch, Cornelia
Litovsky, Yana
Sprengholz, Philipp
Brewer, Noel
Chapman, Gretchen B.
Leask, Julie
Loewenstein, George
Scherzer, Martha
Sunstein, Cass R.
Kirchler, Michael
- Event
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Veröffentlichung
- (who)
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University of Innsbruck, Research Platform Empirical and Experimental Economics (eeecon)
- (where)
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Innsbruck
- (when)
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2022
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Böhm, Robert
- Betsch, Cornelia
- Litovsky, Yana
- Sprengholz, Philipp
- Brewer, Noel
- Chapman, Gretchen B.
- Leask, Julie
- Loewenstein, George
- Scherzer, Martha
- Sunstein, Cass R.
- Kirchler, Michael
- University of Innsbruck, Research Platform Empirical and Experimental Economics (eeecon)
Time of origin
- 2022