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Input-Output Analysis of COVID-19: Methodology for Assessing the Impacts of Lockdown Measures

Author

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  • Eduardo A. Haddad
  • Fernando S. Perobelli
  • Inacio F. Araujo

Abstract

This technical note describes in details the methodology developed for assessing the daily economic costs of control strategies for mitigating the effects of COVID-19. It is based on the partial hypothetical extraction approach to input-output systems. This methodology is being currently applied to inform regional and national governments in Brazil and Colombia on the potential regional and sectoral economic costs of different strategies of lockdown measures. Simulated scenarios based on different durations and intensities of the control measures are also being used to help designing sectoral and territorial-based policies to ease lockdown against the coronavirus outbreak after reaching a downward trend in the growth rate of new infections.

Suggested Citation

  • Eduardo A. Haddad & Fernando S. Perobelli & Inacio F. Araujo, 2020. "Input-Output Analysis of COVID-19: Methodology for Assessing the Impacts of Lockdown Measures," Working Papers, Department of Economics 2020_03, University of São Paulo (FEA-USP), revised 28 May 2020.
    • Handle: RePEc:spa:wpaper:2020wpecon3
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    References listed on IDEAS

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    1. Fernando Salgueiro Perobelli & Eduardo Amaral Haddad & Jaime Bonet Moron & Geoffrey Hewings, 2010. "Structural Interdependence Among Colombian Departments," Economic Systems Research, Taylor & Francis Journals, vol. 22(3), pages 279-300.
    2. Yu Song & Chunlu Liu & Craig Langston, 2006. "Linkage measures of the construction sector using the hypothetical extraction method," Construction Management and Economics, Taylor & Francis Journals, vol. 24(6), pages 579-589.
    3. Guerra, Ana-Isabel & Sancho, Ferran, 2010. "Measuring energy linkages with the hypothetical extraction method: An application to Spain," Energy Economics, Elsevier, vol. 32(4), pages 831-837, July.
    4. Wang, Yuan & Wang, Wenqin & Mao, Guozhu & Cai, Hua & Zuo, Jian & Wang, Lili & Zhao, Peng, 2013. "Industrial CO2 emissions in China based on the hypothetical extraction method: Linkage analysis," Energy Policy, Elsevier, vol. 62(C), pages 1238-1244.
    5. Yue-Jun Zhang & Xiao-Juan Bian & Weiping Tan, 2018. "The linkages of sectoral carbon dioxide emission caused by household consumption in China: evidence from the hypothetical extraction method," Empirical Economics, Springer, vol. 54(4), pages 1743-1775, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Mahdi Ghaemi Asl & Sajad Rajabi & Muhammad Irfan & Reza Ranjbaran & Mohammad Ghasemi Doudkanlou, 2022. "COVID-19 restrictions and greenhouse gas savings in selected Islamic and MENA countries: An environmental input–output approach for climate policies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13937-13989, December.
    2. Jaime Bonet & Diana Ricciulli & Gerson Javier Pérez-Valbuena & Eduardo A. Haddad & Inácio F. Araújo & Fernando S. Perobelli, 2023. "Regional Differences in the Economic Impact of Lockdown Measures to Prevent the Spread of COVID-19: A Case Study for Colombia," Advances in Spatial Science, in: Eduardo A. Haddad & Jaime Bonet & Geoffrey J. D. Hewings (ed.), The Colombian Economy and Its Regional Structural Challenges, chapter 0, pages 327-358, Springer.
    3. Jaime Bonet-Morón & Diana Ricciulli-Marín & Javier Pérez-Valbuena & Luis Armando Galvis-Aponte & Eduardo A. Haddad & Inácio F. Araújo & Fernando S. Perobelli, 2020. "Impacto económico regional del Covid-19 en Colombia: un análisis insumo-producto," Documentos de Trabajo Sobre Economía Regional y Urbana 18149, Banco de la República, Economía Regional.
    4. Cottafava, Dario & Gastaldo, Michele & Quatraro, Francesco & Santhiá, Cristina, 2022. "Modeling economic losses and greenhouse gas emissions reduction during the COVID-19 pandemic: Past, present, and future scenarios for Italy," Economic Modelling, Elsevier, vol. 110(C).
    5. Diana Ricciulli-Marín & Jaime Bonet-Morón & Gerson Javier Pérez-Valbuena & Eduardo A. Haddad & Inácio F. Araújo & Fernando S. Perobelli, 2020. "Diferencias regionales en el impacto económico del aislamiento preventivo por el COVID-19: estudio de caso para Colombia," Documentos de Trabajo Sobre Economía Regional y Urbana 18203, Banco de la República, Economía Regional.
    6. Alexandre A. Porsse & Kênia B. de Souza & Terciane S. Carvalho & Vinícius A. Vale, 2020. "The economic impacts of COVID‐19 in Brazil based on an interregional CGE approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(6), pages 1105-1121, December.

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    More about this item

    Keywords

    COVID-19; Economic Impacts; Lockdown; Input-Output Analysis; Hypothetical Extraction;
    All these keywords.

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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