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Initial Management of COVID-19 Outbreak in Mexico

Author

Listed:
  • Cinthya G. Caamal-Olvera

    (Universidad Autónoma de Nuevo León, México)

  • Julio César Arteaga García

    (Universidad Autónoma de Nuevo León, México)

Abstract

Este artículo analiza la etapa inicial de la pandemia COVID-19 en México. El objetivo es probar si la percepción del riesgo de contagio y los mensajes de prevención iniciales de las autoridades influyeron en el número de muertes por COVID-19. Estimamos las elasticidades longitudinales de las muertes a los casos confirmados de COVID-19 teniendo en cuenta el error de medición y los problemas de endogeneidad. Encontramos que los casos confirmados y los niveles de pobreza son endógenos. La limitación surge debido a que las muertes por COVID-19 están subreportadas. La contribución es identificar una asociación de la percepción de riesgo individual y político con el número de muertes por COVID-19. Los resultados muestran que los municipios con un mayor porcentaje de personas conscientes de haber estado en contacto con otra persona afectada por COVID-19 tienen menos muertes. Sin embargo, la gestión de la emergencia, tanto federal como estatal, tuvo efectos débiles en la reducción de la tasa de letalidad. Inferimos que una mejor conciencia individual del riesgo es un factor esencial para reducir el número de muertes por COVID-19.

Suggested Citation

  • Cinthya G. Caamal-Olvera & Julio César Arteaga García, 2021. "Initial Management of COVID-19 Outbreak in Mexico," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-22, Julio - S.
    • Handle: RePEc:imx:journl:v:16:y:2021:i:3:a:12
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    File URL: https://www.remef.org.mx/index.php/remef/article/view/634
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    References listed on IDEAS

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    1. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    2. John M. Barrios & Yael Hochberg, 2020. "Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic," NBER Working Papers 27008, National Bureau of Economic Research, Inc.
    3. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    4. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2003. "Fixed effects, random effects or Hausman-Taylor?: A pretest estimator," Economics Letters, Elsevier, vol. 79(3), pages 361-369, June.
    5. Gowda, C. & Hadley, C. & Aiello, A.E., 2012. "The association between food insecurity and inflammation in the US adult population," American Journal of Public Health, American Public Health Association, vol. 102(8), pages 1579-1586.
    6. Chundakkadan, Radeef & Ravindran, Rekha, 2020. "Information flow and COVID-19 recovery," World Development, Elsevier, vol. 136(C).
    7. Wändi Bruine de Bruin & Htay-Wah Saw & Dana P. Goldman, 2020. "Political polarization in US residents’ COVID-19 risk perceptions, policy preferences, and protective behaviors," Journal of Risk and Uncertainty, Springer, vol. 61(2), pages 177-194, October.
    8. Carlitz, Ruth D. & Makhura, Moraka N., 2021. "Life under lockdown: Illustrating tradeoffs in South Africa’s response to COVID-19," World Development, Elsevier, vol. 137(C).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    COVID-19; Mexico; Lethality rate; emergency management; risk perceptions.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I10 - Health, Education, and Welfare - - Health - - - General
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

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