Learning from deregulation: The asymmetric impact of lockdown and reopening on risky behavior during COVID‐19

During the coronavirus disease 2019 (COVID‐19) pandemic, states issued and then rescinded stay‐at‐home orders that restricted mobility. We develop a model of learning by deregulation, which predicts that lifting stay‐at‐home orders can signal that going out has become safer. Using restaurant activit...

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Detalles Bibliográficos
Autores principales: Glaeser, Edward L., Jin, Ginger Z., Leyden, Benjamin T., Luca, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242873/
https://www.ncbi.nlm.nih.gov/pubmed/34226759
http://dx.doi.org/10.1111/jors.12539

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242873/
https://www.ncbi.nlm.nih.gov/pubmed/34226759
http://dx.doi.org/10.1111/jors.12539

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