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Review
. 2021 Jan:79:101381.
doi: 10.1016/j.eeh.2020.101381. Epub 2020 Nov 3.

Disease, downturns, and wellbeing: Economic history and the long-run impacts of COVID-19

Review

Disease, downturns, and wellbeing: Economic history and the long-run impacts of COVID-19

Vellore Arthi et al. Explor Econ Hist. 2021 Jan.

Abstract

How might COVID-19 affect human capital and wellbeing in the long run? The COVID-19 pandemic has already imposed a heavy human cost-taken together, this public health crisis and its attendant economic downturn appear poised to dwarf the scope, scale, and disruptiveness of most modern pandemics. What evidence we do have about other modern pandemics is largely limited to short-run impacts. Consequently, recent experience can do little to help us anticipate and respond to COVID-19's potential long-run impact on individuals over decades and even generations. History, however, offers a solution. Historical crises offer closer analogues to COVID-19 in each of its key dimensions-as a global pandemic, as a global recession-and offer the runway necessary to study the life-course and intergenerational outcomes. In this paper, we review the evidence on the long-run effects on health, labor, and human capital of both historical pandemics (with a focus on the 1918 Influenza Pandemic) and historical recessions (with a focus on the Great Depression). We conclude by discussing how past crises can inform our approach to COVID-19-helping tell us what to look for, what to prepare for, and what data we ought to collect now.

Keywords: COVID-19; Early-life health; Human capital; Long-run effects; Pandemics; Public health; Recessions; Scarring.

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Figures

Fig 1
Fig. 1
U.S. log real GDP per capita with major epidemics highlighted, 1790-2020 Notes: Annual GDP per capita data for 1790 through 2019 are taken from https://www.measuringworth.com. Quarterly real GDP per capita data for 2019 and 2020 are taken from https://fred.stlouisfed.org/series/A939RX0Q048SBEA and deflated to 2012 dollars to match the historical data. Code to generate the figure and the underlying data for it can be found at Open-ICPSR (see Arthi and Parman, 2020; https://doi.org/10.3886/E125441V1).
Fig 2
Fig. 2
Case fatality rate as a percentage by basic reproduction rate for various diseases Notes: Case mortality rates are for untreated patients. For COVID-19, basic reproduction rates are taken from https://wwwnc.cdc.gov/eid/article/26/7/20-0282_article. All other reproduction and fatality rates are taken from https://docs.google.com/spreadsheets/d/1kHCEWY-d9HXlWrft9jjRQ2xf6WHQlmwyrXel6wjxkW8/edit#gid=0 (the data underlying https://www.theguardian.com/news/datablog/ng-interactive/2014/oct/15/visualised-how-ebola-compares-to-other-infectious-diseases), accessed on June 15, 2020. The code and data needed to generate the figure are available at Open-ICPSR (see Arthi and Parman, 2020; https://doi.org/10.3886/E125441V1).
Fig 3
Fig. 3
Unemployment rate and COVID-19 cases in the U.S. by state over time Notes: The insured unemployment rate is based on employees covered under unemployment insurance as reported to states by employers. COVID-19 cases are relative to the entire state population. Unemployment data were retrieved from https://oui.doleta.gov/unemploy/claims.asp. COVID-19 data were retrieved from https://github.com/nytimes/covid-19-data. The code and data needed to generate the figure are available at Open-ICPSR (see Arthi and Parman, 2020; https://doi.org/10.3886/E125441V1).

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