ICAR Research Data Repository for Knowledge Management
Replication Data for: Assessing the effectiveness of COVID-19 vaccine lotteries: A cross-state synthetic control methods approach
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive Info| Field | Value | |
| Title |
Replication Data for: Assessing the effectiveness of COVID-19 vaccine lotteries: A cross-state synthetic control methods approach
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| Identifier |
https://doi.org/10.7910/DVN/K1XX02
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| Creator |
Fuller, Sam
Kazemian, Sara Algara, Carlos Simmons, Daniel J. |
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| Publisher |
Harvard Dataverse
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| Description |
Datasets and code used for conducting all analyses and creating all figures for this publication.
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| Subject |
Social Sciences
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| Contributor |
Fuller, Samuel
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