Betz Michael R, Jones Lauren E
Department of Human Sciences, The Ohio State University, 171A Campbell Hall, 1787 Neil Ave., Columbus, Ohio, 43201.
Department of Human Sciences and John Glenn College of Public Affairs, The Ohio State University, 115E Campbell Hall, 1787 Neil Ave., Columbus, Ohio, 43201.
Am J Health Econ. 2022 Summer;8(3):359-386. doi: 10.1086/718511. Epub 2022 Jun 27.
Widespread opioid misuse suggests a potential for increased fatal car crashes. However, opioid use may not necessarily lead to additional crashes if drivers respond to opioid prevalence by substituting away from more inebriating intoxicants like alcohol. Combining data on local opioid prescription rates and car crashes from the Fatality Analysis and Reporting System, we use two-way fixed effects models to test the direction of the association between prescribing intensity and crash fatalities between 2007 and 2016. We estimate that a 10 percent increase in the local prescription rate is associated with a 1 percent increase in the number of driver deaths in motor vehicle accidents. The association is robust to several model specifications, and isolated to drivers most affected by the opioid crisis: males and 25 to 34 year-olds.
阿片类药物的广泛滥用表明致命车祸有增加的可能性。然而,如果司机因阿片类药物的流行而不再使用像酒精这样更易使人醉酒的兴奋剂,那么使用阿片类药物不一定会导致更多车祸。结合来自死亡分析与报告系统的当地阿片类药物处方率和车祸数据,我们使用双向固定效应模型来检验2007年至2016年期间处方强度与车祸死亡人数之间关联的方向。我们估计,当地处方率每增加10%,机动车事故中司机死亡人数就会增加1%。这种关联在几种模型设定下都很稳健,并且仅限于受阿片类药物危机影响最大的司机群体:男性以及25至34岁的人群。