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Learning from Deregulation: The Asymmetric Impact of Lockdown and Reopening on Risky Behavior During COVID-19 / Edward L. Glaeser, Ginger Zhe Jin, Benjamin T. Leyden, Michael Luca.
- Format:
- Book
- Author/Creator:
- Glaeser, Edward L.
- Series:
- Working Paper Series (National Bureau of Economic Research) no. w27650.
- NBER working paper series no. w27650
- Language:
- English
- Physical Description:
- 1 online resource: illustrations (black and white);
- Place of Publication:
- Cambridge, Mass. National Bureau of Economic Research 2020.
- Summary:
- During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility.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 implementation of stay-at-home orders initially had a limited impact, but that activity rose quickly after states' reopenings. The results suggest that consumers inferred from reopening that it was safer to eat out. The rational, but mistaken inference that occurs in our model may explain why a sharp rise of COVID-19 cases followed reopening in some states.
- Notes:
- Print version record
- August 2020.
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