The Impact of the COVID-19 Pandemic on Consumption: Learning from High-Frequency Transaction Data

By Haiqiang Chen, Wenlan Qian, Qiang Wen. AEA Papers and Proceedings, 2020

326 citations recorded by the source corpus.

We use daily transaction data in 214 cities to study the impact of COVID-19 on consumption after China's outbreak in late January 2020. Based on difference-in-difference estimation, daily offline consumption--via bank card and mobile Quick Response code transactions--fell by 32 percent, or 18.57 million renminbi (RMB) per city, during the 12-week period. The effect is prevalent across cities and is more pronounced in the dining-and-entertainment and travel categories. We infer that China's offline consumption decreased by over 1.22 trillion RMB, or 1.2 percent of China's 2019 GDP, in the 3-month postoutbreak period.

Subfields: Economics and Econometrics, Marketing, Modeling and Simulation

View Paper: https://www.semanticscholar.org/paper/adec3799745c41b4738fd08fb5cb6cc2a5f39167

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In Modeling and Simulation

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