COVID-19 lockdown and traffic accidents: Lessons from the pandemic

被引：12

作者：

Barnes, Stephen R. ^{[1
]}

Beland, Louis-Philippe ^{[2
]}

Huh, Jason ^{[3
]}

Kim, Dongwoo ^{[4
]}

机构：

[1] Univ Louisiana Lafayette, Lafayette, LA 70504 USA

[2] Carleton Univ, Ottawa, ON, Canada

[3] Rensselaer Polytech Inst, Troy, NY USA

[4] Texas Christian Univ, Dept Econ, Ft Worth, TX 76129 USA

来源：

CONTEMPORARY ECONOMIC POLICY | 2022年 / 40卷 / 02期

关键词：

accidents; COVID-19; lockdown; regression discontinuity; traffic management; REGRESSION-DISCONTINUITY; PUBLIC-TRANSIT; EXTERNALITIES; CONGESTION; FAMILY; LIFE; AIR;

D O I：

10.1111/coep.12562

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

We use a regression discontinuity design to study the effect of the COVID-19 lockdown on traffic accidents. Based on administrative data from Louisiana, we find that the lockdown order led to a significant decrease in traffic accidents (-47%), including accidents involving injury (-46%) and ambulance (-41%). We also find evidence of heterogeneous changes in the decline of drivers involved in accidents, with a smaller decline among individuals aged 25 to 64, male, and nonwhite drivers.

引用

收藏

页码：349 / 368

页数：20

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