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Cited by 771

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

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

Open access
Deryugina, Tatyana, Heutel, Garth, Miller, Nolan H., Molitor, David, Reif, Julian·2019·American Economic Review

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. 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. (JEL I12, J14, Q51, Q53)

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Crossref · 10.1257/aer.20180279

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Metadata

Authors
Deryugina, T., Heutel, G., Miller, N. H., Molitor, D., & Reif, J.
Venue
American Economic Review
Published
2019-12-01
Volume
109
Issue
12
Pages
4178-4219
ISSN
0002-8282 (ISSN-L)
OpenAlex
W2552499013
Cited by
771
References
59
FWCI
24.48
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction. https://app.cochat.ai/papers/10.1257/aer.20180279
The paper
Deryugina, T., Heutel, G., Miller, N. H., Molitor, D., & Reif, J. (2019). The Mortality and Medical Costs of Air Pollution: Evidence from Changes in Wind Direction. American Economic Review. https://doi.org/10.1257/aer.20180279

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.