CoronaNet: A Dyadic Dataset of Government Responses to the COVID-19 Pandemic

Cindy Cheng, Joan Barceló, Allison Spencer Hartnett, Robert Kubinec and Luca Messerschmidt
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Luca Messerschmidt: Division of Social Science

No 20200042, Working Papers from New York University Abu Dhabi, Department of Social Science

Abstract: Governments everywhere have implemented a broad range of policies that have been highly influential in shaping the COVID-19 pandemic. We present an initial public release of a large hand-coded dataset of over 10,000 separate policy announcements made in response to the pandemic across more than 190 countries. The dataset will be updated daily, with a 5-day lag for validity checking. We currently document policies across numerous dimensions, including the type of policy implemented; national vs. sub-national enforcement; the specific group targeted by the policy; and the time frame within which the policy is implemented. We further analyze the dataset using a Bayesian measurement model which shows the quick acceleration of high-cost policies across countries beginning in mid-March and continuing to the present. While some relatively low-cost policies like task forces and health monitoring began early, countries generally adopted harsher measures within a narrow time window, suggesting strong policy diffusion effects.

Pages: 75 pages
Date: 2020-04, Revised 2020-04
New Economics Papers: this item is included in nep-hea
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Citations: View citations in EconPapers (6)

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Working Paper: CoronaNet: A Dyadic Dataset of Government Responses to the COVID-19 Pandemic (2020)
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