Quit playing games with our lives: Layoffs predict road traffic fatalities

Economic downturns are typically associated with fewer traffic accidents due to reduced driving. However, the psychological and social shocks of sudden job loss may counterintuitively increase risk on the road. In this paper, we examine whether mass layoffs announcements are associated with short-term increases in traffic fatalities in the United States using spatial autoregressive models. Merging monthly U.S. county-level data on mass layoffs with motor vehicle fatality counts, we find a significant uptick in monthly traffic fatalities following major layoff events. This pattern persists after accounting for seasonal trends and regional factors, including unemployment rates and weather conditions. These findings suggest that the stress and disruption caused by mass layoffs can have deadly consequences beyond the workplace. We discuss psychological mechanisms (e.g., distress-related driving impairment) and implications linked to short-term rises in traffic fatalities and public health implications for fatal crash risk.

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Publication Details

Journal
Accident Analysis & Prevention
Published
2025-11-04
DOI
https://doi.org/10.1016/j.aap.2025.108302
Citations
1
Primary Topic
Employment and Welfare Studies
Type
article
Field-Weighted Citation Impact
2.82
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article

Quit playing games with our lives: Layoffs predict road traffic fatalities

Dritjon Gruda, Ricardo Gonçalves, Milad Sharafi Zadegan
1 citations
Accident Analysis & Prevention
Employment and Welfare Studies
2.82
article

Quit playing games with our lives: Layoffs predict road traffic fatalities

Dritjon Gruda, Ricardo Gonçalves, Milad Sharafi Zadegan
article en
1 citations

Abstract

Economic downturns are typically associated with fewer traffic accidents due to reduced driving. However, the psychological and social shocks of sudden job loss may counterintuitively increase risk on the road. In this paper, we examine whether mass layoffs announcements are associated with short-term increases in traffic fatalities in the United States using spatial autoregressive models. Merging monthly U.S. county-level data on mass layoffs with motor vehicle fatality counts, we find a significant uptick in monthly traffic fatalities following major layoff events. This pattern persists after accounting for seasonal trends and regional factors, including unemployment rates and weather conditions. These findings suggest that the stress and disruption caused by mass layoffs can have deadly consequences beyond the workplace. We discuss psychological mechanisms (e.g., distress-related driving impairment) and implications linked to short-term rises in traffic fatalities and public health implications for fatal crash risk.

Accident Analysis & PreventionVol. 224
National University of Ireland, Maynooth (IE), Universidade Católica Portuguesa (PT)
Openalex Percentile: Top 7%
Employment and Welfare Studies
2.82
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Quit playing games with our lives: Layoffs predict road traffic fatalities — Dritjon Gruda, Ricardo Gonçalves, et al. · Accident Analysis & Prevention (2025) | TGRS Research Map | TGRS