| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP16000 |
| DP16000 COVID-19, Race, and Gender | |
| Graziella Bertocchi; Arcangelo Dimico | |
| 发表日期 | 2021-04-02 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | The mounting evidence on the demographics of COVID-19 fatalities points to an overrepresentation of minorities and an underrepresentation of women. Using individual-level, race-disaggregated, and georeferenced death data collected by the Cook County Medical Examiner, we jointly investigate the racial and gendered impact of COVID-19, its timing, and its determinants. Through an event study approach we establish that Blacks individuals are affected earlier and more harshly and that the effect is driven by Black women. Rather than comorbidity or aging, the Black female bias is associated with poverty and channeled by occupational segregation in the health care and transportation sectors and by commuting on public transport. Living arrangements and lack of health insurance are instead found uninfluential. The Black female bias is spatially concentrated in neighborhoods that were subject to historical redlining. |
| 主题 | Macroeconomics and Growth ; Public Economics |
| 关键词 | Covid-19 Deaths Race Gender Occupations Transport Redlining Cook county Chicago |
| URL | https://cepr.org/publications/dp16000 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/544984 |
| 推荐引用方式 GB/T 7714 | Graziella Bertocchi,Arcangelo Dimico. DP16000 COVID-19, Race, and Gender. 2021. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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