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Social Learning and Behavioral Change When Faced with the COVID-19 Pandemic: A big data analysis

Author

Listed:
  • Rui OTA
  • Arata ITO
  • Masahiro SATO
  • Makoto YANO

Abstract

At the beginning of the COVID-19 outbreak, knowledge about the disease and its prevention was scarce. For example, there was no scientific evidence that masks could prevent the disease. However, masks were rapidly purchased in large quantities in Japan, resulting in a severe shortage after late January 2020. The purpose of this paper is to clarify what factors caused this change in people's behavior toward infection prevention. To this end, we employ high-resolution consumer panel data and newspaper articles nationally or locally published in Japan to empirically analyze the impact of consumers' information reception on their mask purchasing behavior. Logistic regression results demonstrate that the cumulative number of articles was significantly related to the frequency of mask purchases with respect to any period of the first wave of infections. We found that early information in a pandemic is important and that learning from public information, or social learning, can significantly induce behavioral change.

Suggested Citation

  • Rui OTA & Arata ITO & Masahiro SATO & Makoto YANO, 2022. "Social Learning and Behavioral Change When Faced with the COVID-19 Pandemic: A big data analysis," Discussion papers 22065, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:22065
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    References listed on IDEAS

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