Coronavirus infections and deaths by poverty status: The effects of social distancing
| Autor: | Juergen Jung, Vinish Shrestha, James Manley |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Organizational Behavior and Human Resource Management
Economics and Econometrics Coronavirus disease 2019 (COVID-19) Death rates by poverty status Poverty status Article 03 medical and health sciences 0302 clinical medicine 0502 economics and business Pandemic 030212 general & internal medicine 050207 economics Socioeconomics Poverty SARS-CoV-2 Social distance High poverty 05 social sciences COVID-19 Heterogeneous health effects Coronavirus Infections by poverty status Geography High incidence Coronavirus Infections |
| Zdroj: | Journal of Economic Behavior & Organization |
| ISSN: | 0167-2681 |
| Popis: | We study the spread of COVID-19 infections and deaths by county poverty level in the US. In the beginning of the pandemic, counties with either very low poverty levels or very high poverty levels reported the highest numbers of cases. A U-shaped relationship prevails for counties with high population density while among counties with low population density, only poorer counties report high incidence rates of COVID-19. Second, we discuss the pattern of infections spreading from higher to lower income counties. Third, we show that stay-at-home mandates caused significantly higher reductions in mobility in high income counties that experienced adverse weather shocks than counties that did not. These effects are not present in counties with high poverty rates. Using weather shocks in combination with stay-at-home mandates as an instrument for social distancing, we find that measures taken to promote social distancing helped curb infections in high income counties but not in low income counties. These results have important policy implications for containing the spread of infectious diseases in the future. |
| Databáze: | OpenAIRE |
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