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...

We develop a new framework for valuing health and longevity improvements that departs from conventional but unrealistic assumptions of full annuitization and deterministic health. Our framework can value the prevention of mortality and of illness, and it can quantify the effects of retirement...

Many environmental hazards produce health effects that take years to arise, but quasi-experimental studies typically measure outcomes and treatment over short time periods. We develop a new approach to overcome this challenge and use it to gauge the effect of exposure to air pollution on US life...

We develop a new framework for valuing health and longevity improvements that departs from conventional but unrealistic assumptions of full annuitization and deterministic health. Our framework can value the prevention of mortality and of illness, and it can quantify the effects of retirement...

We investigate the implementation of Medicare Part D and estimate that this prescription drug benefit program reduced elderly mortality by 2.2 percent annually. This was driven primarily by a reduction in cardiovascular mortality, the leading cause of death for the elderly. There was no effect...

We estimate the causal effects of acute fine particulate matter (PM 2.5) exposure on mortality and health care use among the US elderly using Medicare administrative data and a novel instrument for air pollution: changes in the local wind direction. We then develop a new methodology that uses...