Covid-19: Testing Inequality in New York City
| Autor: | Martín Uribe, Ken Teoh, Stephanie Schmitt-Grohé |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
education.field_of_study
Gini coefficient Inequality business.industry media_common.quotation_subject fungi Population Distribution (economics) social sciences Per capita income Test (assessment) Geography Income distribution population characteristics Lorenz curve education Socioeconomics business media_common |
| Popis: | 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 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|