Violence in the Great Recession

Am J Epidemiol. 2022 Oct 20;191(11):1847-1855. doi: 10.1093/aje/kwac114.

Abstract

Substantial evidence suggests that economic hardship causes violence. However, a large majority of this research relies on observational studies that use traditional violence surveillance systems that suffer from selection bias and over-represent vulnerable populations, such as people of color. To overcome limitations of prior work, we employed a quasi-experimental design to assess the impact of the Great Recession on explicit violence diagnoses (injuries identified to be caused by a violent event) and proxy violence diagnoses (injuries highly correlated with violence) for child maltreatment, intimate partner violence, elder abuse, and their combination. We used Minnesota hospital data (2004-2014), conducting a difference-in-differences analysis at the county level (n = 86) using linear regression to compare changes in violence rates from before the recession (2004-2007) to after the recession (2008-2014) in counties most affected by the recession, versus changes over the same time period in counties less affected by the recession. The findings suggested that the Great Recession had little or no impact on explicitly identified violence; however, it affected proxy-identified violence. Counties that were more highly affected by the Great Recession saw a greater increase in the average rate of proxy-identified child abuse, elder abuse, intimate partner violence, and combined violence when compared with less-affected counties.

Keywords: Great Recession; child abuse; difference-in-differences; elder abuse; hospital data; intimate partner violence; violence.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • Child
  • Child Abuse / statistics & numerical data
  • Economic Recession* / statistics & numerical data
  • Elder Abuse / statistics & numerical data
  • Female
  • Hospitals
  • Humans
  • Intimate Partner Violence / statistics & numerical data
  • Linear Models
  • Male
  • Minnesota / epidemiology
  • Violence* / statistics & numerical data
  • Vulnerable Populations