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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During the coronavirus disease 2019 (COVID‐19) pandemic, states issued and then rescinded stay‐at‐home orders that restricted mobility.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...
Autores principales: | Glaeser, Edward L., Jin, Ginger Z., Leyden, Benjamin T., Luca, Michael |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
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 |
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