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Macroeconomic consequences of the COVID-19 pandemic.
Walmsley, Terrie; Rose, Adam; John, Richard; Wei, Dan; Hlávka, Jakub P; Machado, Juan; Byrd, Katie.
  • Walmsley T; Center for Risk and Economic Analysis of Threats and Emergencies (CREATE), USC, Los Angeles, CA, USA.
  • Rose A; Department of Economics, Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern California (USC), Los Angeles, CA, USA.
  • John R; Center for Risk and Economic Analysis of Threats and Emergencies (CREATE), USC, Los Angeles, CA, USA.
  • Wei D; Sol Price School of Public Policy, USC, Los Angeles, CA, USA.
  • Hlávka JP; Center for Risk and Economic Analysis of Threats and Emergencies (CREATE), USC, Los Angeles, CA, USA.
  • Machado J; Department of Psychology, Dana and David Dornsife College of Letters, Arts and Sciences, USC, Los Angeles, CA, USA.
  • Byrd K; Center for Risk and Economic Analysis of Threats and Emergencies (CREATE), USC, Los Angeles, CA, USA.
Econ Model ; 120: 106147, 2023 Mar.
Article in English | MEDLINE | ID: covidwho-2165237
ABSTRACT
We estimate the economic impacts of COVID-19 in the U.S. using a disaster economic consequence analysis framework implemented by a dynamic computable general equilibrium (CGE) model. This facilitates identification of relative influences of several causal factors as "shocks" to the model, including mandatory business closures, disease spread trajectories, behavioral responses, resilience, pent-up demand, and government stimulus packages. The analysis is grounded in primary data on avoidance behavior and healthcare parameters. The decomposition of the influence of various causal factors will help policymakers offset the negative influences and reinforce the positive ones during the remainder of this pandemic and future ones.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Econ Model Year: 2023 Document Type: Article Affiliation country: J.econmod.2022.106147

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Econ Model Year: 2023 Document Type: Article Affiliation country: J.econmod.2022.106147