Abstract

The novel coronavirus disease 2019 (COVID-19) in the U.S. is part of the worldwide pandemic of this extremely infectious disease. As of November 2020, the U.S. has experienced 10,200,000 cases and 238,000 COVID-19 fatalities. The pandemic is still ongoing, with around 50,000 new cases and 800 deaths each day. A recent U.S. based report shows that the economic loss due to COVID-19 will be more than $22 trillion. Due to the lockdown and the urgency of a safe re-opening, the impact on different industries varies from state to state. A robust and granular level of analysis is needed to understand the impact of COVID-19 on various industries. This study collected data (before and after COVID-19) from the U.S. Bureau of Labor Statistics (USBLS) to perform a quantitative analysis. Using current employment statistics (CES) data from the USBLS, an observational before-after analysis was conducted by using the difference-in-difference method. The results show the highly-impacted industries, and the temporal patterns of the impact are also evaluated.

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