Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19
收藏NBER2020-08-01 更新2025-01-04 收录
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https://www.nber.org/papers/w27650
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资源简介：
During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility.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 activity data, we find that the
提供机构：
美国国家经济研究局
创建时间：
2020-08-01
