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Are stay-at-home orders more difficult to follow for low-income groups?

Authors :
Xingchi Shen
Jiehong Lou
Debbie A. Niemeier
Source :
Journal of Transport Geography
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

In response to the COVID-19 pandemic, a growing number of states, counties and cities in the United States issued mandatory stay-at-home orders as part of their efforts to slow down the spread of the virus. We argue that the consequences of this one-size-fits-all order will be differentially distributed among economic groups. In this paper, we examine social distance behavior changes for lower income populations. We conduct a comparative analysis of responses between lower-income and upper-income groups and assess their relative exposure to COVID-19 risks. Using a difference-in-difference-in-differences analysis of 3140 counties, we find social distance policy effect on the lower-income group is smaller than that of the upper-income group, by as much as 46% to 54%. Our explorations of the mechanisms behind the disparate effects suggest that for the work-related trips the stay-at-home orders do not significantly reduce low income work trips and this result is statistically significant. That is, the share of essential business defined by stay-at-home orders is significantly negatively correlated with income at county level. In the non-work-related trips, we find that both the lower-income and upper-income groups reduced visits to retail, recreation, grocery, and pharmacy visits after the stay-at-home order, with the upper-income group reducing trips more compared to lower-income group.

Details

Language :
English
ISSN :
09666923
Database :
OpenAIRE
Journal :
Journal of Transport Geography
Accession number :
edsair.doi.dedup.....aa06e5cec8215e0363bc5ad130c98739
Full Text :
https://doi.org/10.1016/j.jtrangeo.2020.102894