Self-Protection versus Fear of Stricter Firearm Regulations: Examining the Drivers of Firearm Acquisitions in the Aftermath of a Mass Shooting

Maurizio Porfiri, Roni Barak-Ventura, Manuel Ruiz Marín

Research output: Contribution to journalArticlepeer-review

Abstract

Discovering causal mechanisms underlying firearm acquisition can provide critical insight into firearm-related violence in the United States. Here, we established an information-theoretic framework to address the long-disputed dichotomy between self-protection and fear of firearm regulations as potential drivers of firearm acquisition in the aftermath of a mass shooting. We collected data on mass shootings, federal background checks, media output on firearm control and shootings, and firearm safety laws from 1999 to 2017. First, we conducted a cluster analysis to partition States according to the restrictiveness of their firearm-related legal environment. Then, we performed a transfer entropy analysis to unveil causal relationships at the State-level in the Wiener-Granger sense. The analysis suggests that fear of stricter firearm regulations is a stronger driver than the desire of self-protection for firearm acquisitions. This fear is likely to cross State borders, thereby shaping a collective pattern of firearm acquisition throughout the Nation.

Original languageEnglish (US)
Article number100082
JournalPatterns
Volume1
Issue number6
DOIs
StatePublished - Sep 11 2020

Keywords

  • DSML 5: Mainstream: Data science output is well understood and (nearly) universally adopted
  • firearm
  • information theory
  • mass shooting
  • media
  • newspaper
  • policy
  • spatial data
  • symbolic dynamics
  • time-series
  • transfer entropy

ASJC Scopus subject areas

  • General Decision Sciences

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