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 estimate how the mortality effects of temperature vary across U.S. climate regions to assess local and national damages from projected climate change. Using 22 years of Medicare data, we find that both cold and hot days increase mortality. However, hot days are less deadly in warm places...

Using 20 years of data on Medicare beneficiaries, we predict the end-of-century mortality effects of climate change among the U.S. elderly, accounting at the ZIP code level for both adaptation and regional heterogeneity in the temperature-mortality relationship. We find that this relationship...

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...