IDEAS home Printed from https://ideas.repec.org/p/aoz/wpaper/197.html

An Integrated Epidemiological and Economic Model of COVID-19 NPIs in Argentina

Author

Listed:
  • Adolfo Rubinstein

    (IECS)

  • Eduardo Levy Yeyati

    (Universidad Torcuato Di Tella)

Abstract

Añadimos un marco económico multisectorial a un modelo epidemiológico SVEIR combinando la lógica económica del modelo DAEDALUS con un tratamiento detallado de la fatiga de los encierros y la disminución del cumplimiento de las medidas de salud pública y sociales reportadas en trabajos empíricos recientes, para cuantificar los beneficios y costos epidemiológicos y económicos de las políticas alternativas de encierro y de salud pública, tanto en términos de intensidad como de duración. Nuestra calibración replica las características clave de las curvas de casos y muertes y el costo económico para Argentina en 2021. El modelo nos permite cuantificar la compensación de políticas a corto plazo entre vidas y medios de vida, y mostrar que puede mejorarse significativamente con políticas farmacológicas específicas, como el despliegue de vacunas, para reducir principalmente la enfermedad grave y el número de muertes por COVID-19, como se ha destacado en estudios anteriores.

Suggested Citation

  • Adolfo Rubinstein & Eduardo Levy Yeyati, 2022. "An Integrated Epidemiological and Economic Model of COVID-19 NPIs in Argentina," Working Papers 197, Red Nacional de Investigadores en Economía (RedNIE).
    • Handle: RePEc:aoz:wpaper:197
    as

    Download full text from publisher

    File URL: https://rednie.eco.unc.edu.ar/files/DT/197.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. repec:udt:wpecon:wp_gob_2021_01 is not listed on IDEAS
    2. 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.
    3. Eduardo Levy Yeyati & Patricio Goldstein & Luca Sartorio, 2021. "Lockdown Fatigue: The Diminishing Effects of Quarantines on the Spread of COVID-19," Growth Lab Working Papers 170, Harvard's Growth Lab.
    4. repec:rza:wpaper:826 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Theodoros Evgeniou & Mathilde Fekom & Anton Ovchinnikov & Raphaël Porcher & Camille Pouchol & Nicolas Vayatis, 2023. "Pandemic lockdown, isolation, and exit policies based on machine learning predictions," Production and Operations Management, Production and Operations Management Society, vol. 32(5), pages 1307-1322, May.
    2. Federico Crudu & Roberta Di Stefano & Giovanni Mellace & Silvia Tiezzi, 2022. "The Gray Zone," Department of Economics University of Siena 874, Department of Economics, University of Siena.
    3. Kumar, Anand & Priya, Bhawna & Srivastava, Samir K., 2021. "Response to the COVID-19: Understanding implications of government lockdown policies," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 76-94.
    4. Upasak Das & Rupayan Pal & Udayan Rathore & Bibhas Saha, 2023. "Rein in pandemic by pricing vaccine: Does social trust matter?," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2023-008, Indira Gandhi Institute of Development Research, Mumbai, India.
    5. Yasuhiro Hara, 2024. "Dynamic Relationship between Information Dissemination by Local Governors and Mobility during the COVID-19 Pandemic," Discussion papers ron373, Policy Research Institute, Ministry of Finance Japan.
    6. Graham, James & Ozbilgin, Murat, 2021. "Age, industry, and unemployment risk during a pandemic lockdown," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    7. Kim, Dongwoo & Lee, Young Jun, 2022. "Vaccination strategies and transmission of COVID-19: Evidence across advanced countries," Journal of Health Economics, Elsevier, vol. 82(C).
    8. Louis-Philippe Beland & Abel Brodeur & Taylor Wright, 2020. "COVID-19, Stay-at-Home Orders and Employment: Evidence from CPS Data," Carleton Economic Papers 20-04, Carleton University, Department of Economics, revised 19 May 2020.
    9. M. Hashem Pesaran & Cynthia Fan Yang, 2022. "Matching theory and evidence on Covid‐19 using a stochastic network SIR model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1204-1229, September.
    10. Matthew Goodkin-Gold & Michael Kremer & Christopher M. Snyder & Heidi Williams, 2024. "Optimal Vaccine Subsidies for Epidemic Diseases," The Review of Economics and Statistics, MIT Press, vol. 106(4), pages 895-909, July.
    11. Nicola Fuchs-Schündeln & Dirk Krueger & André Kurmann & Etienne Lalé & Alexander Ludwig & Irina Popova, 2023. "The Fiscal and Welfare Effects of Policy Responses to the Covid-19 School Closures," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(1), pages 35-98, March.
    12. Hakan Yilmazkuday, 2022. "Nonlinear effects of mobility on COVID-19 in the US: targeted lockdowns based on income and poverty," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(1), pages 18-36, April.
    13. Jose Carlos Saavedra & Pablo Lavado & Sebastián Lindley & Liz Villegas, 2021. "Impacto de las medidas para la mitigación de la Covid - 19 en la Salud y en la Economía para Latinoamérica y Perú," Working Papers 181, Peruvian Economic Association.
    14. Xiao Chen & Hanwei Huang & Jiandong Ju & Ruoyan Sun & Jialiang Zhang, 2022. "Endogenous cross-region human mobility and pandemics," CEP Discussion Papers dp1860, Centre for Economic Performance, LSE.
    15. Shami, Labib & Lazebnik, Teddy, 2022. "Economic aspects of the detection of new strains in a multi-strain epidemiological–mathematical model," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    16. Luca Gori & Piero Manfredi & Simone Marsiglio & Mauro Sodini, 2023. "A parsimonious model of optimal social distancing and vaccination during an outbreak," Discussion Papers 2023/292, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    17. Donfouet,Hermann Pythagore Pierre & Sanogo,Ndoh Ashken & Gogoua,Amantchi Jean - Noel & Tshivuila Matala,Opope Oyaka & Traore,Adama-000558561 & Sorgho,Gaston, 2024. "Mortality Costs of and Policy Responses to the COVID-19 Pandemic in Côte d'Ivoire," Policy Research Working Paper Series 10731, The World Bank.
    18. Jose M. Martin-Moreno & Antoni Alegre-Martinez & Victor Martin-Gorgojo & Jose Luis Alfonso-Sanchez & Ferran Torres & Vicente Pallares-Carratala, 2022. "Predictive Models for Forecasting Public Health Scenarios: Practical Experiences Applied during the First Wave of the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(9), pages 1-16, May.
    19. Fu, Yuting & Jin, Hanqing & Xiang, Haitao & Wang, Ning, 2022. "Optimal lockdown policy for vaccination during COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 45(C).
    20. Chen, Simiao & Jin, Zhangfeng & Bärnighausen, Till & Bloom, David E., 2025. "Did early diagnostic confirmation save lives during the COVID-19 pandemic? Evidence from China," China Economic Review, Elsevier, vol. 93(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aoz:wpaper:197. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Laura Inés D Amato (email available below). General contact details of provider: https://edirc.repec.org/data/redniar.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.