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Data and Code for: Laissez-faire, Social Networks, and Race in a Pandemic

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ICPSR2022-01-01 更新2026-04-16 收录
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https://www.openicpsr.org/openicpsr/project/159041/version/V1/view
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资源简介:
We use unique data on nursing home networks in the United States and estimation of state-level preference for prioritizing short-term economic gains over health to analyze the effects of race, laissez-faire (more tolerance to the virus spread) policies, and network centrality on COVID-19 deaths in nursing homes. Our findings suggest that laissez-faire policies increase deaths. Nursing homes with a larger share of black residents experience more deaths, but they are less vulnerable to laissez-faire policies, especially when not central in social networks. Our findings highlight significant interactions between COVID-19 policies, race, and network structure among U.S. seniors.
提供机构:
The University of Texas Rio Grande Valley; University of Ottawa; University of Kent
创建时间:
2022-01-01
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