流行病与政策:令人沮丧的权衡。

Economia politica (Bologna, Italy) Pub Date : 2023-01-01 Epub Date: 2022-07-18 DOI:10.1007/s40888-022-00279-3
Francesco Flaviano Russo
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引用次数: 2

摘要

我提出了一个随机SIR宏观模型来研究应对流行病的替代缓解政策的效果。迫使企业关闭和停止社会活动的封锁以降低GDP和增加债务为代价,减缓了疫情的发展,并平均降低了死亡率。检测追踪检疫政策以较低的成本降低死亡率,但只有在彻底的情况下才有效。我发现,在平均家庭规模较大、劳动力市场参与分散和公司平均规模较大的情况下,封锁效果最好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Epidemics and policy: the dismal trade-offs.

Epidemics and policy: the dismal trade-offs.

I propose a stochastic SIR-Macro model to study the effects of alternative mitigation policies to cope with an epidemic. Lockdowns that force firms to close and that discontinue social activities slow down the progression of the epidemic at the cost of reducing GDP and increasing debt and, on average, decrease mortality. Testing-Tracing-Quarantine policies decrease mortality at a lower cost, but they are effective only if thorough. I find that lockdowns work best in case of a bigger average family size, of a diffused labor market participation and of a bigger average firm size.

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