Evidence map›Paper›PMID 37431520›Full record

ArticlePolitical studies review2023

Covid-19 Policy Convergence in Response to Knightian Uncertainty.

Anthony M Sayers, Christa Scholtz, Dave Armstrong, Christopher Kam, Christopher Alcantara

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Political studies review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Anthony M SayersDepartment of Political Science, University of Calgary, Calgary, AB, Canada.ORCID https://orcid.org/0000-0002-6385-8309
Christa ScholtzDepartment of Political Science, McGill University, Montreal, QC, Canada.
Dave ArmstrongDepartment of Political Science, Western University, London, ON, Canada.
Christopher KamDepartment of Political Science, University of British Columbia, Vancouver, BC, Canada.
Christopher AlcantaraDepartment of Political Science, Western University, London, ON, Canada.ORCID https://orcid.org/0000-0001-6089-1114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Domestic policy responses to COVID-19 were remarkably consistent during the early days of the pandemic. What explains this policy convergence? Our formal model suggests that the novel character of COVID-19 produced a period of maximum policy uncertainty, incentivizing political actors to converge on a common set of policies to minimize their exposure to electoral punishment. This convergence is likely to break down as policy feedback produces opinion divergence among experts and the public and as politicians recalculate the costs and benefits of various policy responses and under some conditions facing incentives to adopt extreme policies.

Indexed as

COVID-19elite decision-makingKnightian uncertaintypolicy convergence

Identifiers

PMID37431520
PMCPMC10331119

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.