Correcting COVID-19 Risk Misperceptions via Information Provision

Asako Chiba, Kazuya Haganuma, Taisuke Nakata, Thuy Linh Nguyen and Reo Takaku
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Asako Chiba: The University of Tokyo
Kazuya Haganuma: The University of Tokyo
Taisuke Nakata: The University of Tokyo
Thuy Linh Nguyen: The University of Tokyo
Reo Takaku: Hitotsubashi University

No CARF-F-616, CARF F-Series from Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo

Abstract: We conducted an information provision experiment in April 2023 in Japan to investigate how different types of information affect people’s subjective assessment of COVID-19 related risks. The majority of respondents overestimate infection and fatality risks. Recent infection-related statistics lower risk perceptions if presented in percentage, but do not lower them if presented in levels. Providing pessimistic outlooks raises risk perceptions. We also find substantial heterogeneity in the response to information provision across various individual characteristics, such as age, gender, education, marital status, health status, COVID-19-related experiences, and vaccination status.

Pages: 24
Date: 2026-01
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