居家订单对美国产出的影响:一个网络视角

Shaowen Luo, K. Tsang, Zichao Yang
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引用次数: 6

摘要

根据各州发布的居家令,美国一些州减少或暂停经济活动,以控制COVID-19的传播。通过结合多个数据源,我们使用网络方法估计由于这些限制造成的输出损失。根据我们最保守的估计,截至2020年4月15日,这些措施将使美国每个时期的总产出减少26%,其中约43%是由于生产网络中的投入产出连接。使用具有州际感染网络的SIR模型,我们还计算出在2020年3月19日至4月15日期间减少每次感染的成本约为15万美元。对各种假设居家令的模拟结果表明,现有居家令减少感染的单位成本比局部最小值高13%左右。
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The Impact of Stay-at-Home Orders on US Output: A Network Perspective
Under the stay-at-home orders issued by states, economic activities are reduced or put on hold by some states across the U.S. to control the spread of COVID-19. By combining several sources of data, we estimate the output loss due to such restrictions using a network approach. Based on our most conservative estimates, the measures as of April 15, 2020 reduce 26% of total US output per period, and about 43% of which is due to the input-output connections in the production network. Using a SIR model with an inter-state infection network, we also calculate the cost of reducing each infection to be approximately $150,000 during the period of March 19 to April 15, 2020. Simulation results of various hypothetical stay-at-home orders show that the unit cost of infection reduction of the existing order is about 13% higher than the local minimum.
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