Porfiri Maurizio, Barak-Ventura Roni, Marín Manuel Ruiz
Department of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering, Brooklyn, NY 11201, United States.
Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, NY 11201, United States.
Patterns (N Y). 2020 Aug 11;1(6):100082. doi: 10.1016/j.patter.2020.100082. eCollection 2020 Sep 11.
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.
发现枪支获取背后的因果机制可以为深入了解美国与枪支相关的暴力事件提供关键见解。在此,我们建立了一个信息论框架,以解决长期存在争议的二分法,即在大规模枪击事件发生后,自我保护和对枪支管制的恐惧作为枪支获取的潜在驱动因素之间的二分法。我们收集了1999年至2017年期间大规模枪击事件、联邦背景调查、关于枪支管制和枪击事件的媒体报道以及枪支安全法律的数据。首先,我们进行了聚类分析,根据各州与枪支相关法律环境的严格程度对其进行划分。然后,我们进行了转移熵分析,以揭示在维纳-格兰杰意义上州层面的因果关系。分析表明,对更严格枪支管制的恐惧比对自我保护的渴望更能驱动枪支获取。这种恐惧很可能跨越州界,从而在全国范围内形成枪支获取的集体模式。