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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w28093 |
来源ID | Working Paper 28093 |
Maximize Utility subject to R\u22641: A Simple Price-Theory Approach to Covid-19 Lockdown and Reopening Policy | |
Eric Budish | |
发表日期 | 2020-11-16 |
出版年 | 2020 |
语种 | 英语 |
摘要 | This paper presents a simple price-theory approach to Covid-19 lockdown and reopening policy. The key idea is to conceptualize R ≤ 1 as a constraint, allowing traditional economic and societal goals to be the policy objective, all within a simple static optimization framework. This approach yields two main insights. First, the R ≤ 1 constraint imposes a disease-transmission budget on society. Society should optimally spend this budget on the activities with the highest ratio of utility to disease-transmission risk, dropping activities with too low a ratio of utility to risk. Second, masks, tests, and other simple interventions increase activities' utility-to-risk ratios, and hence expand how much activity society can engage in and utility society can achieve while staying within the R ≤ 1 budget. A simple numerical example, based on estimates from the medical literature for R0 and the efficacy of facemasks and complementary measures, suggests the potential gains are enormous. Overall, the formulation provides economics language for a policy middle ground between society-wide lockdown and ignore-the-virus, and a new infectious threat response paradigm alongside “eradicate” and “minimize”. |
主题 | Microeconomics ; Mathematical Tools ; Market Structure and Distribution ; Welfare and Collective Choice ; Macroeconomics ; Fiscal Policy ; Public Economics ; Health, Education, and Welfare ; Health ; Industrial Organization ; Regulatory Economics ; COVID-19 |
URL | https://www.nber.org/papers/w28093 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/585767 |
推荐引用方式 GB/T 7714 | Eric Budish. Maximize Utility subject to R\u22641: A Simple Price-Theory Approach to Covid-19 Lockdown and Reopening Policy. 2020. |
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w28093.pdf(892KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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