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Air Pollution and Mobility, What Carries COVID-19?

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  • C. Vladimir Rodríguez-Caballero

    (Department of Statistics, ITAM, Río Hondo No. 1, Col. Progreso Tizapán, Álvaro Obregón, CDMX, Ciudad de México 01080, Mexico
    CREATES, 8210 Aarhus, Denmark.)

  • J. Eduardo Vera-Valdés

    (Department of Mathematical Sciences, Aalborg University, 9220 Aalborg, Denmark
    CREATES, 8210 Aarhus, Denmark.)

Abstract

This paper tests if air pollution serves as a carrier for SARS-CoV-2 by measuring the effect of daily exposure to air pollution on its spread by panel data models that incorporates a possible commonality between municipalities. We show that the contemporary exposure to particle matter is not the main driver behind the increasing number of cases and deaths in the Mexico City Metropolitan Area. Remarkably, we also find that the cross-dependence between municipalities in the Mexican region is highly correlated to public mobility, which plays the leading role behind the rhythm of contagion. Our findings are particularly revealing given that the Mexico City Metropolitan Area did not experience a decrease in air pollution during COVID-19 induced lockdowns.

Suggested Citation

  • C. Vladimir Rodríguez-Caballero & J. Eduardo Vera-Valdés, 2021. "Air Pollution and Mobility, What Carries COVID-19?," Econometrics, MDPI, vol. 9(4), pages 1-17, October.
    • Handle: RePEc:gam:jecnmx:v:9:y:2021:i:4:p:37-:d:653517
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    References listed on IDEAS

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    Cited by:

    1. C. Vladimir Rodríguez-Caballero & J. Eduardo Vera-Valdés, 2020. "Long-Lasting Economic Effects of Pandemics:Evidence on Growth and Unemployment," Econometrics, MDPI, vol. 8(3), pages 1-16, September.
    2. Duván Humberto Cataño & Carlos Vladimir Rodríguez-Caballero & Daniel Peña, 2019. "Wavelet Estimation for Dynamic Factor Models with Time-Varying Loadings," CREATES Research Papers 2019-23, Department of Economics and Business Economics, Aarhus University.
    3. Rodríguez-Caballero, Carlos Vladimir, 2022. "Energy consumption and GDP: a panel data analysis with multi-level cross-sectional dependence," Econometrics and Statistics, Elsevier, vol. 23(C), pages 128-146.
    4. Carlos Vladimir Rodriguez-Caballero & Daniel Ventosa-Santaularia, 2014. "Granger Causality and Unit Roots," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 3(1), pages 1-7.

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