Evidence map›Paper›PMID 35221397›Full record

ReviewJournal of comparative economics2022

Pandemic knowledge and regulation effectiveness: Evidence from COVID-19.

Luisa Loiacono, Riccardo Puglisi, Leonzio Rizzo, Riccardo Secomandi

Abstract readReview
In one paragraph

Review in Journal of comparative economics, 2022. 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

4 authors.

Luisa LoiaconoUniversity of Ferrara, Italy.
Riccardo PuglisiUniversity of Pavia, Italy.
Leonzio RizzoUniversity of Ferrara, Italy.
Riccardo SecomandiUniversity of Ferrara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of COVID-19 led countries around the world to adopt lockdown measures of varying stringency, with the purpose of restricting the movement of people. However, the effectiveness of these measures on mobility has been markedly different. Employing a difference-in-differences design, we analyse the effectiveness of movement restrictions across different countries. We disentangle the role of regulation (stringency measures) from the role of people's knowledge about the spread of COVID-19. We proxy COVID-19 knowledge by using Google Trends data on the term "Covid". We find that lockdown measures have a higher impact on mobility the more people learn about COVID-19. This finding is driven by countries with low levels of trust in institutions and low levels of education.

Indexed as

COVID-19, Education, Information, Institutions, Knowledge, Lockdown, Mobility, Stringency Index, JEL Codes, D7E7I18

Identifiers

PMID35221397
PMCPMC8863948

What OpenQuestion holds

Textmetadata
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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.