Assessing Targeted Containment Policies to Fight COVID-19.
The large economic costs of full-blown lockdowns in response to COVID-19 outbreaks, coupled with heterogeneous mortality rates across age groups, led to question non-discriminatory containment measures. In this paper we provide an assessment of the targeted approach to containment. We propose a SIR-...
Формат: | Журнал |
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Мова: | English |
Опубліковано: |
Washington, D.C. :
International Monetary Fund,
2020.
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Серія: | IMF Working Papers; Working Paper ;
No. 2020/277 |
Онлайн доступ: | Full text available on IMF |
Резюме: | The large economic costs of full-blown lockdowns in response to COVID-19 outbreaks, coupled with heterogeneous mortality rates across age groups, led to question non-discriminatory containment measures. In this paper we provide an assessment of the targeted approach to containment. We propose a SIR-macro model that allows for heterogeneous agents in terms of mortality rates and contact rates, and in which the government optimally bans people from working. We find that under a targeted policy, the optimal containment reaches a larger portion of the population than under a blanket policy and is held in place for longer. Compared to a blanket policy, a targeted approach results in a smaller death count. Yet, it is not a panacea: the recession is larger under such approach as the containment policy applies to a larger fraction of people, remains in place for longer, and herd immunity is achieved later. Moreover, we find that increased interactions between low- and high-risk individuals effectively reduce the benefits of a targeted approach to containment. |
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Опис примірника: | <strong>Off-Campus Access:</strong> No User ID or Password Required <strong>On-Campus Access:</strong> No User ID or Password Required |
Фізичний опис: | 1 online resource (31 pages) |
Формат: | Mode of access: Internet |
ISSN: | 1018-5941 |
Доступ: | Electronic access restricted to authorized BRAC University faculty, staff and students |