Ambiguity and self-protection: evidence from social distancing under the COVID-19 pandemic
Daiki Kishishita (),
Hans H. Tung () and
Charlotte Wang ()
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Daiki Kishishita: Tokyo University of Science
Hans H. Tung: National Taiwan University
Charlotte Wang: Columbia University
The Japanese Economic Review, 2024, vol. 75, issue 2, No 3, 269-300
Abstract:
Abstract This paper studies how people make decisions over preventive behaviors under ambiguity (i.e., Knightian uncertainty) where they do not even know the probability of a loss. In the context of the current COVID-19 pandemic, scientific uncertainty makes it hard to evaluate not only whether one will be infected, but also probabilities such as the infection rate. We constructed a simple model and demonstrated how its effect was heterogeneous depending on ambiguity-attitudes. Motivated by the model, we further conducted a survey experiment in Japan where we manipulated the information regarding scientific uncertainty on COVID-19. We found that higher ambiguity induced by scientific uncertainty increased the level of social distancing among ambiguity-loving people, but such evidence was nonexistent for ambiguity-averse counterparts.
Keywords: Scientific uncertainty; Ambiguity; Self-protection; Preventive behaviors; COVID-19 (search for similar items in EconPapers)
JEL-codes: D80 D81 I12 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s42973-022-00120-3
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