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The COVID epidemic and the economic activity with acquired immunity

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  • Juan Esteban Carranza
  • Juan David Martin
  • Álvaro José Riascos

Abstract

We calibrate a macroeconomic model with epidemiological restrictions using Colombian data. The key feature of our model is that a portion of the population is immune and cannot transmit the virus, which improves substantially the fit of the model to the observed contagion and economic activity data. The model implies that government restrictions and the endogenous changes in individual behavior saved around 15,000 lives and decreased consumption in 2020 by about 4.7%. The results suggest that most of this effect was the result of the government policies. **** Calibramos un modelo macroeconómico con restricciones epidemiológicas utilizando datos colombianos. La característica clave de nuestro modelo es que una parte de la población es inmune y no puede transmitir el virus, lo cual mejora sustancialmente el ajuste del modelo a los datos de contagio y actividad económica observados. El modelo implica que las restricciones gubernamentales y los cambios endógenos en el comportamiento individual salvaron alrededor de 15,000 vidas y redujeron el consumo en 2020 en aproximadamente un 4.7 %. Los resultados sugieren que la mayor parte de este efecto fue el resultado de las políticas gubernamentales.

Suggested Citation

  • Juan Esteban Carranza & Juan David Martin & Álvaro José Riascos, 2020. "The COVID epidemic and the economic activity with acquired immunity," Borradores de Economia 1147, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:borrec:1147
    DOI: https://doi.org/10.32468/be.1147
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    References listed on IDEAS

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    1. Fernando Alvarez & David Argente, 2020. "A Simple Planning Problem for COVID-19 Lockdown," Working Papers 2020-34, Becker Friedman Institute for Research In Economics.
    2. Martin S Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "The Macroeconomics of Epidemics [Economic activity and the spread of viral diseases: Evidence from high frequency data]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    3. Daron Acemoglu & Victor Chernozhukov & Iván Werning & Michael D. Whinston, 2021. "Optimal Targeted Lockdowns in a Multigroup SIR Model," American Economic Review: Insights, American Economic Association, vol. 3(4), pages 487-502, December.
    4. David Berger & Kyle Herkenhoff & Chengdai Huang & Simon Mongey, 2022. "Testing and Reopening in an SEIR Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 1-21, January.
    5. Andrew Atkeson, 2020. "What Will Be the Economic Impact of COVID-19 in the US? Rough Estimates of Disease Scenarios," NBER Working Papers 26867, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Gerson Javier Pérez-Valbuena & Jaime Bonet-Morón & Diana Ricciulli-Marín & Paula Barrios, 2024. "Reglas fiscales subnacionales en Colombia: desde su concepción hasta los resultados frente al COVID-19," Coyuntura Económica, Fedesarrollo, vol. 54, pages 83-142.
    2. Antonio José Orozco-Gallo & Pavel Vidal-Alejandro & Johana Sanabria-Dom�nguez & Jaime Andr�s Collazos-Rodr�guez, 2021. "Indicador coincidente de actividad económica en la recesión pandémica: el caso del Caribe colombiano," Documentos de Trabajo Sobre Economía Regional y Urbana 19285, Banco de la República, Economía Regional.

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    JEL classification:

    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models
    • I1 - Health, Education, and Welfare - - Health
    • H0 - Public Economics - - General

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