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Dispersed consumption versus compressed output: Assessing the sectoral effects of a pandemic

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  • Darougheh, Saman

Abstract

I process credit-card consumption data through an input–output model of sectoral linkages to impute the sector-level output responses to the Covid-19 pandemic. The sector-level consumption responses are highly dispersed and even positive for some. Yet, all sectors suffer from output losses. Production of intermediate goods stabilises output. Consequently, the sectoral dispersion of final consumption is higher than the sectoral dispersion of output produced. Sectors that provide intermediate goods are affected less by the pandemic. Many service sectors face the largest losses in output since they depend the most on final consumption.

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  • Darougheh, Saman, 2021. "Dispersed consumption versus compressed output: Assessing the sectoral effects of a pandemic," Journal of Macroeconomics, Elsevier, vol. 68(C).
    • Handle: RePEc:eee:jmacro:v:68:y:2021:i:c:s016407042100015x
    DOI: 10.1016/j.jmacro.2021.103302
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    References listed on IDEAS

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    1. Martin Bodenstein & Giancarlo Corsetti & Luca Guerrieri, 2022. "Social distancing and supply disruptions in a pandemic," Quantitative Economics, Econometric Society, vol. 13(2), pages 681-721, May.
    2. Carvalho, V & Garcia, Juan R. & Hansen, S. & Ortiz, A. & Rodrigo, T. & More, J. V. R., 2020. "Tracking the COVID-19 Crisis with High-Resolution Transaction Data," Cambridge Working Papers in Economics 2030, Faculty of Economics, University of Cambridge.
    3. Scott R Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis & Jeffrey Pontiff, 0. "How Does Household Spending Respond to an Epidemic? Consumption during the 2020 COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 834-862.
    4. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
    5. Isaac Sorkin, 2015. "Are There Long-Run Effects of the Minimum Wage?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 18(2), pages 306-333, April.
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    Cited by:

    1. Hinterlang, Natascha & Moyen, Stephane & Röhe, Oke & Stähler, Nikolai, 2023. "Gauging the effects of the German COVID-19 fiscal stimulus package," European Economic Review, Elsevier, vol. 154(C).
    2. Jiam Song & Kwangmin Jung & Jonghun Kam, 2023. "Evidence of the time-varying impacts of the COVID-19 pandemic on online search activities relating to shopping products in South Korea," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    3. Marina Yu. Malkina, 2021. "How the 2020 pandemic affected tax revenues in Russian regions?," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(2), pages 239-260, June.
    4. M. Yu. Malkina, 2022. "Revenues of Russian Subfederal Budgets under the Pandemic: A Spatial Reversal," Regional Research of Russia, Springer, vol. 12(4), pages 544-555, December.

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