论文标题
该政策始终更绿色：美国Covid-19疫苗接种彩票的影响异质性
The policy is always greener: impact heterogeneity of Covid-19 vaccination lotteries in the US
论文作者
论文摘要
COVID-19疫苗接种对全球决策者和卫生管理部门提出了至关重要的挑战。除了大流行的压力外，政府政府还必须努力反对疫苗的犹豫，这似乎在先前的疫苗接种推销方面要高得多。为了增加对人口的疫苗接种保护，俄亥俄州宣布了一项货币激励措施，作为决定接种疫苗的人的彩票。第一个示例之后是其他18个州，结果有所不同。在本文中，我们希望使用受惩罚的合成控制方法评估潜在结果框架内此类政策的效果。我们使用面板数据集治疗，并在交错的治疗率的背景下在分类水平上估计因果效应。我们专注于县，州和州州级别的政策成果，突出了具有不同社会特征和时间范围的县之间的差异，以介绍政策。我们还研究了治疗效果的性质，以查看这些货币激励措施的影响是永久的还是临时的，从而加速了在任何情况下都会接种疫苗的公民的疫苗接种。
Covid-19 vaccination has posed crucial challenges to policymakers and health administrations worldwide. In addition to the pressure posed by the pandemic, government administration has to strive against vaccine hesitancy, which seems to be considerably higher concerning previous vaccination rollouts. To increase the vaccination protection of the population, Ohio announced a monetary incentive as a lottery for those who decided to vaccinate. This first example was followed by 18 other states, with varying results. In this paper, we want to evaluate the effect of such policies within the potential outcome framework, using the penalized synthetic control method. We treat with a panel dataset and estimate causal effects at a disaggregated level in the context of staggered treatment adoption. We focused on policy outcomes at the county, state, and supra-state levels, highlighting differences between counties with different social characteristics and time frames for policy introduction. We also studied the nature of the treatment effect to see whether the impact of these monetary incentives was permanent or only temporary, accelerating the vaccination of citizens who would have been vaccinated in any case.
