| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w29192 |
| 来源ID | Working Paper 29192 |
| Using Household Rosters from Survey Data to Estimate All-cause Mortality during COVID in India | |
| Anup Malani; Sabareesh Ramachandran | |
| 发表日期 | 2021-08-30 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | Official statistics on deaths due to COVID undercount deaths due to lack of testing. In developed countries, death registries have been used to measure total excess death during the pandemic. However, very few developing countries have even partial death registries or the capacity to register deaths during a pandemic. In this paper we estimate excess deaths in India using the member roster of a large and representative household panel survey. We estimate roughly 6.3 million excess deaths during the pandemic through August 2021. We cannot demonstrate causality between COVID and deaths but the timing and age structure of deaths is consistent with the COVID pandemic and excess deaths are positively correlated with reported infections. Finally, we find that excess deaths were higher among higher-income persons and were negatively associated with mobility. The methods in this paper can be used in countries with a household panel to measure health-related demographic indicators. |
| 主题 | Econometrics ; Data Collection ; Health, Education, and Welfare ; Health ; COVID-19 |
| URL | https://www.nber.org/papers/w29192 |
| 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/586865 |
| 推荐引用方式 GB/T 7714 | Anup Malani,Sabareesh Ramachandran. Using Household Rosters from Survey Data to Estimate All-cause Mortality during COVID in India. 2021. |
| 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 | ||
| w29192.pdf（763KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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