Are Pandemics Bad for Business? Evidence From the US COVID-19 Experience

Main Article Content

Maria Antonia Escobar https://orcid.org/0000-0002-8623-1154

Keywords

Mobility Restrictions, Unemployment Claims, Buisness Applications, Causal Inference, COVID-19

Abstract




The economic downturn caused by the COVID-19 contingency cannot be denied. Many authors have studied the effects of the sanitary emergency on labor force and the demand and supply of goods and services. This paper aims to understand the consequences of the shock to the economy caused by the pandemic, measured through mobility restrictions, in the business context. Using Google Mobility and The New York Times report, stay-at-home orders were used as a proxy for mobility restrictions. The effect of said restrictions on initial unemployment benefit claims and new business applications provides an insight into the change in people’s livelihoods. The difference-in-differences and event study methodologies were applied with data from 2010 to the third week of August 2020. The results indicate that the restrictions on mobility had a significant impact on both outcome variables. The effect on unemployment claims was still present at the time of this paper, while the behavior of new business applications was mostly affected for the first few weeks and then had a quick rebound. 




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References

Baek, C., McCrory, P. B., Messer, T., & Mui, P. (2020). Unemployment effects of stay-at-home orders: Evidence from high frequency claims data. Institute for Research on labor and employment working paper,101–20.

Bajardi, P., Poletto, C., Ramasco, J. J., Tizzoni, M., Colizza, V., & Vespignani, A. (2011). Human mobility networks, travel restrictions, and the global spread of 2009 h1n1 pandemic. PloS one, 6(1), e16591.

Baker, S. R., Bloom, N., Davis, S. J., & Terry, S. J. (2020). Covid-induced economic uncertainty (Tech. Rep.). National Bureau of Economic Research.

Bonaccorsi, G., Pierri, F., Cinelli, M., Flori, A., Galeazzi, A., Porcelli, F., ... others (2020). Economic and social consequences of human mobility restrictions under covid-19. Proceedings of the National Academy of Sciences, 117(27), 15530–15535.

Calí, M., & Miaari, S. H. (2013). The labor market impact of mobility restrictions: Evidence from the west bank. The World Bank.

CDC. (2020). The true burden of covid-19 in the US (Tech. Rep.). Center for Disease Control.

Census. (2020a). Business formation statistics (Tech. Rep.). US Census Bureau.

Census. (2020b). Household pulse survey data (Tech. Rep.). US Census Bureau.

Coibion, O., Gorodnichenko, Y., & Weber, M. (2020). The cost of the covid-19 crisis: Lockdowns, macroeconomic expectations, and consumer spending (Tech. Rep.). National Bureau of Economic Research.

DOL. (2020). Unemployment insurance weekly claims data (Tech. Rep.). US Department of Labor.

Espinoza, B., Castillo-Chavez, C., & Perrings, C. (2020). Mobility restrictions for the control of epidemics: When do they work? Plos one, 15(7), e0235731.

Faria-e Castro, M. (2020). Fiscal policy during a pandemic. FRB St. Louis Working Paper(2020-006).

Friedson, A. I., McNichols, D., Sabia, J. J., & Dave, D. (2020). Did California’s shelter-in-place order work? early coronavirus-related public health effects (Tech. Rep.). National Bureau of Economic Research.

Google. (2020). Covid-19 community mobility reports (Tech. Rep.).

Hsiang, S., Allen, D., Annan-Phan, S., Bell, K., Bolliger, I., Chong, T., ... others (2020). The effect of large-scale anti-contagion policies on the covid-19 pandemic. Nature, 584(7820), 262–267.

Jasmine C. Lee, Y. A. B. H., Sarah Mervosh, & Matthews, A. L. (2020). See how all 50 states are reopening (and closing again). The New York Times.