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

Abstract

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 and a novel instrument for air pollution: changes in local wind direction. We develop a new approach that uses machine learning to estimate the life-years lost due to pollution exposure and show that our procedure reduces bias relative to previous methods. 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.