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COVID-19 Mortality and Contemporaneous Air Pollution

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  • Wes Austin

    (Georgia State University, USA)

  • Stefano Carattini

    (Georgia State University, USA)

  • John Gomez Mahecha

    (Georgia State University, USA)

  • Michael Pesko

    (Georgia State University, USA)

Abstract

We examine the relationship between contemporaneous fine particulate matter exposure and COVID-19 morbidity and mortality using an instrumental variable approach based on wind direction. Harnessing daily changes in county-level wind direction, we show that arguably exogenous fluctuations in local air quality impact the rate of confirmed cases and deaths from COVID-19. In our preferred high dimensional fixed effects specification with state-level policy and social distancing controls, we find that a one µg=m^3 increase in PM 2.5 increases the number of confirmed cases by roughly 2% from the mean case rate in a county. These effects tend to increase in magnitude over longer time horizons, being twice as large over a 3-day period. Meanwhile, a one µg=m^3 increase in PM 2.5 increases the same-day death rate by 3% from the mean. Our estimates are robust to a host of sensitivity tests. These results suggest that air pollution plays an important role in mediating the severity of respiratory syndromes such as COVID-19, for which progressive respiratory failure is the primary cause of death, and that policy levers to improve air quality may lead to improvements in COVID-19 outcomes.

Suggested Citation

  • Wes Austin & Stefano Carattini & John Gomez Mahecha & Michael Pesko, 2020. "COVID-19 Mortality and Contemporaneous Air Pollution," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper2016, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
  • Handle: RePEc:ays:ispwps:paper2016
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    Cited by:

    1. Takahiro Yamada & Hiroyuki Yamada & Muthukumara Mani, 2021. "The causal effects of long-term PM2.5 exposure on COVID-19 in India," Keio-IES Discussion Paper Series 2021-002, Institute for Economics Studies, Keio University.
    2. Persico, Claudia L. & Johnson, Kathryn R., 2021. "The effects of increased pollution on COVID-19 cases and deaths," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    3. Austin, Wes & Carattini, Stefano & Gomez-Mahecha, John & Pesko, Michael F., 2023. "The effects of contemporaneous air pollution on COVID-19 morbidity and mortality," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    4. Isphording, Ingo E. & Pestel, Nico, 2021. "Pandemic meets pollution: Poor air quality increases deaths by COVID-19," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    5. Blackman, Allen & Bonilla, Jorge A. & Villalobos, Laura, 2023. "Quantifying COVID-19’s silver lining: Avoided deaths from air quality improvements in Bogotá," Journal of Environmental Economics and Management, Elsevier, vol. 117(C).
    6. Andrea Baranzini & Stefano Carattini & Linda Tesauro, 2021. "Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 417-482, July.
    7. Xinming Du, 2023. "Symptom or Culprit? Social Media, Air Pollution, and Violence," CESifo Working Paper Series 10296, CESifo.
    8. Becchetti, Leonardo & Beccari, Gabriele & Conzo, Gianluigi & Conzo, Pierluigi & De Santis, Davide & Salustri, Francesco, 2022. "Particulate matter and COVID-19 excess deaths: Decomposing long-term exposure and short-term effects," Ecological Economics, Elsevier, vol. 194(C).

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    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • I10 - Health, Education, and Welfare - - Health - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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