Evidence map›Paper›PMID 36213493›Full record

ArticleJapanese economic review (Oxford, England)2022

Ambiguity and self-protection: evidence from social distancing under the COVID-19 pandemic.

Daiki Kishishita, Hans H Tung, Charlotte Wang

Abstract read
In one paragraph

Article in Japanese economic review (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Daiki KishishitaSchool of Management, Tokyo University of Science, 1-11-2, Fujimi, Chiyoda-ku, Tokyo, 102-0071 Japan.ORCID 0000-0002-2462-0728
Hans H TungDepartment of Political Science, National Taiwan University, 1 Sec. 4 Roosevelt Rd., Taipei, 10617 Taiwan.
Charlotte WangDepartment of Statistics, Columbia University, 612 West 115th Street, 6th Floor, MC 6006, New York, NY 10025 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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. Supplementary Information: The online version contains supplementary material available at 10.1007/s42973-022-00120-3.

Indexed as

AmbiguityCOVID-19Preventive behaviorsScientific uncertaintySelf-protection

Identifiers

PMID36213493
PMCPMC9525947

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.