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The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction

机译:空气污染的死亡率和医疗成本:来自风向变化的证据

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We estimate the causal effects of acute fine particulate matter exposure on mortality, health care use, and medical costs among the US elderly using Medicare data. We instrument for air pollution using changes in local wind direction and develop a new approach that uses machine learning to estimate the life-years lost due to pollution exposure. Finally, we characterize treatment effect heterogeneity using both life expectancy and generic machine learning inference. Both approaches find that mortality effects are concentrated in about 25 percent of the elderly population.
机译:我们使用Medicare数据估算了急性细颗粒物暴露对美国老年人的死亡率,医疗保健使用和医疗费用的因果关系。我们利用当地风向的变化来测量空气污染,并开发一种新方法,该方法使用机器学习来估计由于暴露于污染而导致的生命年。最后,我们使用预期寿命和通用机器学习推断来表征治疗效果的异质性。两种方法都发现死亡率影响集中在大约25%的老年人口中。

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