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来源类型Working Paper
规范类型报告
DOI10.3386/w27374
来源IDWorking Paper 27374
Socioeconomic Network Heterogeneity and Pandemic Policy Response
Mohammad Akbarpour; Cody Cook; Aude Marzuoli; Simon Mongey; Abhishek Nagaraj; Matteo Saccarola; Pietro Tebaldi; Shoshana Vasserman; Hanbin Yang
发表日期2020-06-15
出版年2020
语种英语
摘要We develop a heterogeneous-agents network-based model to analyze alternative policies during a pandemic outbreak, accounting for health and economic trade-offs within the same empirical framework. We leverage a variety of data sources, including data on individuals' mobility and encounters across metropolitan areas, health records, and measures of the possibility to be productively working from home. This combination of data sources allows us to build a framework in which the severity of a disease outbreak varies across locations and industries, and across individuals who differ by age, occupation, and preexisting health conditions.
We use this framework to analyze the impact of different social distancing policies in the context of the COVID-19 outbreaks across US metropolitan areas. Our results highlight how outcomes vary across areas in relation to the underlying heterogeneity in population density, social network structures, population health, and employment characteristics. We find that policies by which individuals who can work from home continue to do so, or in which schools and firms alternate schedules across different groups of students and employees, can be effective in limiting the health and healthcare costs of the pandemic outbreak while also reducing employment losses.
主题Public Economics ; Subnational Fiscal Issues ; Health, Education, and Welfare ; Health ; COVID-19
URLhttps://www.nber.org/papers/w27374
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/585045
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GB/T 7714
Mohammad Akbarpour,Cody Cook,Aude Marzuoli,et al. Socioeconomic Network Heterogeneity and Pandemic Policy Response. 2020.
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