3.8 Article

Impact of COVID-19 on the US and Texas Economy: A General Equilibrium Approach

Journal

FRONTIERS OF ECONOMICS IN CHINA
Volume 16, Issue 4, Pages 697-713

Publisher

HIGHER EDUCATION PRESS
DOI: 10.54605/fec20210405

Keywords

COVID-19; computational general equilibrium model (CGE); economic impact

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This study uses a computable general equilibrium model, REMI PI+, to examine the impact of COVID-19 on the US and Texas economy. Three scenarios based on economic forecasts are considered, with results showing GDP loss and job loss in 2020. The study also provides insights into the most and least impacted industries, such as Health Care and Social Assistance, and State and Local Government.
This paper examines the impact of COVID-19 on the US and Texas economy using a computable general equilibrium model, REMI PI+. We consider three scenarios based on economic forecasts from various sources, including the University of Michigan's RSQE (Research Seminar in Quantitative Economics), IMF, and the Wi orld Bank. We report a GDP loss of $106 million (a 6% decline) with 1.2 million jobs lost (6.6%) in Texas in 2020. At the national level, GDP loss is $996 billion (a 5% decline) with 11.5 million jobs lost (5.5%) in the same year. By 2026, the aggregate total GDP loss in Texas ranges from $378 to $629 million. The estimated unemployment rate in Texas in 2021 ranges from 5% to 7.7%, depending on modeling assumptions. The granularity of the CGE results allow examination of the most and least impacted industries. Health Care and Social Assistance, Construction, and Accommodation and Food Services incur the most job loss while State and Local Government and Farm will likely see an increase in jobs for 2020. These insights separate our work from most current impact studies.

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