How Do Local Government Finances Respond to the Opioid Epidemics? Evidence From Hydrocodone Rescheduling

Felipe Lozano-Rojas
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引用次数: 1

Abstract

The opioid epidemic has dramatically impacted communities across the United States. According to the Center for Disease Control statistics, more than 72,000 people died from an overdose in 2017, of which two-thirds were opioid-related. In this study, I address the effects of such an epidemic directly on the finances of local governments. Specifically, I use the exposure to hydrocodone prescriptions and the rescheduling among regulated substances by the DEA as a source of exogenous variation and compare results in three settings: standard difference-in-difference, and counterfactual created using nearest neighbors regression and generalized random forests. I find that the rescheduling led to an increase in health expenditures driven mainly by localities that are still, as of 2016, suffering the epidemics. This is consistent for the standard difference-in-difference as well as for the nearest neighbor regressions. A similar finding is obtained using generalized random forests with noisier estimates, however, heterogeneity is determined by race, education, and prevalence of rural population instead of overdose rates.
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地方政府财政如何应对阿片类药物流行?来自氢可酮重新安排的证据
阿片类药物的流行极大地影响了美国各地的社区。根据疾病控制中心的统计数据,2017年有超过7.2万人死于服药过量,其中三分之二与阿片类药物有关。在本研究中,我讨论了这种流行病对地方政府财政的直接影响。具体来说,我使用氢可酮处方的暴露和DEA对管制物质的重新安排作为外源性变异的来源,并在三种情况下比较结果:标准差异中的差异,以及使用最近邻回归和广义随机森林创建的反事实。我发现,重新安排导致卫生支出增加,主要是由截至2016年仍受疫情影响的地方推动的。这对于标准差中差回归和最近邻回归都是一致的。使用噪声估计的广义随机森林也得到了类似的发现,然而,异质性是由种族、教育和农村人口的流行程度决定的,而不是过量率。
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