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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w26952 |
来源ID | Working Paper 26952 |
Demographic Determinants of Testing Incidence and COVID-19 Infections in New York City Neighborhoods | |
George J. Borjas | |
发表日期 | 2020-04-13 |
出版年 | 2020 |
语种 | 英语 |
摘要 | New York City is the hot spot of the COVID-19 pandemic in the United States. This paper merges information on the number of tests and the number of infections at the New York City zip code level with demographic and socioeconomic information from the decennial census and the American Community Surveys. People residing in poor or immigrant neighborhoods were less likely to be tested; but the likelihood that a test was positive was larger in those neighborhoods, as well as in neighborhoods with larger households or predominantly black populations. The rate of infection in the population depends on both the frequency of tests and on the fraction of positive tests among those tested. The non-randomness in testing across New York City neighborhoods indicates that the observed correlation between the rate of infection and the socioeconomic characteristics of a community tells an incomplete story of how the pandemic evolved in a congested urban setting. |
主题 | Health, Education, and Welfare ; Health ; Labor Economics ; Demography and Aging ; COVID-19 |
URL | https://www.nber.org/papers/w26952 |
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/584625 |
推荐引用方式 GB/T 7714 | George J. Borjas. Demographic Determinants of Testing Incidence and COVID-19 Infections in New York City Neighborhoods. 2020. |
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文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w26952.pdf(549KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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