Bayesian spatio-temporal modeling for policy evaluation: Sensitivity of policy effect estimates in the context of COVID-19 stay-at-home orders

• Pyung Kim,

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

  Affiliation Center for Spatial Studies and Data Science, Department of Geography, University of California, Santa Barbara, Santa Barbara, California, United States of America,

  https://orcid.org/0000-0002-2264-9041

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• Sunghye Choi,

  Roles Data curation, Formal analysis, Methodology, Resources, Validation, Writing – review & editing

  Affiliation School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, Texas, United States of America

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• Dohyeong Kim,

  Roles Conceptualization, Funding acquisition, Investigation, Project administration, Supervision, Validation, Writing – review & editing

  Affiliation School of Economic, Political and Policy Sciences, The University of Texas at Dallas, Dallas, Texas, United States of America

  https://orcid.org/0000-0002-1428-1451

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• Chang-Kil Lee

  Roles Conceptualization, Funding acquisition, Investigation, Resources, Supervision, Validation, Writing – review & editing

  * E-mail: changkillee@inu.ac.kr

  Affiliation Department of Urban Policy and Administration, Incheon National University, Incheon, South Korea

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