G2TT
来源类型Discussion paper
规范类型论文
来源IDDP14673
DP14673 Covid-19: Testing Inequality in New York City
Stephanie Schmitt-Grohé; Martín Uribe; Ken Teoh
发表日期2020-04-28
出版年2020
语种英语
摘要Motivated by reports in the media suggesting unequal access to Covid-19 testing across incomes, we analyze zip-code level data on the number of Covid-19 tests, test results, and income per capita in New York City. We find that the number of tests administered is evenly distributed across income levels. In particular, the test distribution across income levels is significantly more egalitarian than the distribution of income itself: The ten percent of the city's population living in the richest zip codes received 11 percent of the Covid-19 tests and 29 percent of the city's income. The ten percent of the city's population living in the poorest zip codes received 10 percent of the tests but only 4 percent of the city's income. At the same time, we find significant disparity in the fraction of tests that come back negative for the Covid-19 disease across income levels: moving from the poorest zip codes to the richest zip codes is associated with an increase in the fraction of negative Covid-19 test results from 38 to 65 percent.
主题Macroeconomics and Growth ; Public Economics
关键词Inequality Covid-19 testing Coronavirus Income distribution Health Lorenz curves Gini coefficient
URLhttps://cepr.org/publications/dp14673
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/543589
推荐引用方式
GB/T 7714
Stephanie Schmitt-Grohé,Martín Uribe,Ken Teoh. DP14673 Covid-19: Testing Inequality in New York City. 2020.
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