The Value of Big Data in a Pandemic

43 Pages Posted: 24 Apr 2020 Last revised: 12 May 2022

See all articles by Kairong Xiao

Kairong Xiao

Columbia University - Columbia Business School

Date Written: May 13, 2020

Abstract

Although digital contact tracing apps have been widely used to combat the COVID-19 pandemic, little empirical evidence regarding their effectiveness is available. This paper exploits the staggered implementation of a digital contact tracing app across 322 Chinese cities and finds that this big data technology significantly reduced virus transmission and facilitated economic recovery during the pandemic. A macroeconomic Susceptible-Infectious-Recovered (SIR) model calibrated to the micro-level estimates shows that this technology reduced the economic loss by 0.5% of GDP and saved more than 200,000 lives. The trade-off between economic benefits and privacy costs is also discussed.

Keywords: Big data, informational friction, COVID-19, lockdown

JEL Classification: D80, I10, E60

Suggested Citation

Xiao, Kairong, The Value of Big Data in a Pandemic (May 13, 2020). Available at SSRN: https://ssrn.com/abstract=3583919 or http://dx.doi.org/10.2139/ssrn.3583919

Kairong Xiao (Contact Author)

Columbia University - Columbia Business School ( email )

3022 Broadway
New York, NY 10027
United States

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