| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w27965 |
| 来源ID | Working Paper 27965 |
| What Explains Temporal and Geographic Variation in the Early US Coronavirus Pandemic? | |
| Hunt Allcott; Levi Boxell; Jacob C. Conway; Billy A. Ferguson; Matthew Gentzkow; Benny Goldman | |
| 发表日期 | 2020-10-19 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | We provide new evidence on the drivers of the early US coronavirus pandemic. We combine an epidemiological model of disease transmission with quasi-random variation arising from the timing of stay-at-home-orders to estimate the causal roles of policy interventions and voluntary social distancing. We then relate the residual variation in disease transmission rates to observable features of cities. We estimate significant impacts of policy and social distancing responses, but we show that the magnitude of policy effects is modest, and most social distancing is driven by voluntary responses. Moreover, we show that neither policy nor rates of voluntary social distancing explain a meaningful share of geographic variation. The most important predictors of which cities were hardest hit by the pandemic are exogenous characteristics such as population and density. |
| 主题 | Public Economics ; Subnational Fiscal Issues ; Health, Education, and Welfare ; Health ; COVID-19 |
| URL | https://www.nber.org/papers/w27965 |
| 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/585639 |
| 推荐引用方式 GB/T 7714 | Hunt Allcott,Levi Boxell,Jacob C. Conway,et al. What Explains Temporal and Geographic Variation in the Early US Coronavirus Pandemic?. 2020. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w27965.pdf（1997KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
