<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Kishishita D</submitter><pubmed_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 nonexisten</pubmed_abstract><journal>Japanese economic review (Oxford, England)</journal><pagination>1-32</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9525947</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Ambiguity and self-protection: evidence from social distancing under the COVID-19 pandemic.</pubmed_title><pmcid>PMC9525947</pmcid><pubmed_authors>Wang C</pubmed_authors><pubmed_authors>Tung HH</pubmed_authors><pubmed_authors>Kishishita D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Ambiguity and self-protection: evidence from social distancing under the COVID-19 pandemic.</name><description>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 nonexisten</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Oct</publication><modification>2025-04-04T14:33:58.535Z</modification><creation>2025-04-04T14:33:58.535Z</creation></dates><accession>S-EPMC9525947</accession><cross_references><pubmed>36213493</pubmed><doi>10.1007/s42973-022-00120-3</doi></cross_references></HashMap>