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|c 5.00 USD
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|z 9781513560915
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|a 1018-5941
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|a BD-DhAAL
|c BD-DhAAL
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|a Assessing Targeted Containment Policies to Fight COVID-19.
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|a Washington, D.C. :
|b International Monetary Fund,
|c 2020.
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|a 1 online resource (31 pages)
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|a IMF Working Papers
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|a <strong>Off-Campus Access:</strong> No User ID or Password Required
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|a <strong>On-Campus Access:</strong> No User ID or Password Required
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|a Electronic access restricted to authorized BRAC University faculty, staff and students
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|a 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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|a Mode of access: Internet
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|a IMF Working Papers; Working Paper ;
|v No. 2020/277
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| 856 |
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|z Full text available on IMF
|u http://elibrary.imf.org/view/journals/001/2020/277/001.2020.issue-277-en.xml
|z IMF e-Library
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