Assessing the effectiveness of COVID-19 vaccine lotteries: A cross-state synthetic control methods approach

• Sam Fuller ,

  Contributed equally to this work with: Sam Fuller, Sara Kazemian, Carlos Algara, Daniel J. Simmons

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: sjfuller@ucdavis.edu

  Affiliation Department of Political Science, University of California, Davis, Davis, California, United States of America

  https://orcid.org/0000-0002-9670-1092

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• Sara Kazemian ,

  Contributed equally to this work with: Sam Fuller, Sara Kazemian, Carlos Algara, Daniel J. Simmons

  Roles Conceptualization, Project administration, Writing – original draft

  Affiliation Department of Political Science, University of California, Davis, Davis, California, United States of America

  https://orcid.org/0000-0003-4942-8529

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• Carlos Algara ,

  Contributed equally to this work with: Sam Fuller, Sara Kazemian, Carlos Algara, Daniel J. Simmons

  Roles Conceptualization, Data curation, Investigation, Project administration, Visualization, Writing – original draft

  Affiliation Division of Politics & Economics, Claremont Graduate University, Claremont, California, United States of America

  https://orcid.org/0000-0002-7820-9109

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• Daniel J. Simmons

  Contributed equally to this work with: Sam Fuller, Sara Kazemian, Carlos Algara, Daniel J. Simmons

  Roles Conceptualization, Project administration, Supervision, Writing – original draft, Writing – review & editing

  Affiliation Department of Political Science & International Relations, Saint Michael’s College, Colchester, Vermont, United States of America

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