Evidence map›Paper›PMID 35702337›Full record

ArticleJournal of public economics2021

Intimate partner violence under forced cohabitation and economic stress: Evidence from the COVID-19 pandemic.

Esther Arenas-Arroyo, Daniel Fernandez-Kranz, Natalia Nollenberger

Open access · hybridAbstract read
In one paragraph

Article in Journal of public economics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 5 pooled it
15.3field-weighted citation impact, top 1% of its field
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

61 citing papers in PubMed, 5 syntheses or guidelines pooled it, 199 citations in OpenAlex.

  1. Pooled it
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  6. Partner-inflicted brain injury may cognitively age survivors by over a decade.medRxiv : the preprint server for health sciences · 2026
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  8. 'Family Violence and Football' at 15: Revisiting the Effect of Emotional Cues on Intimate Partner Violence.International journal of environmental research and public health · 2026
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  19. "Current psychology (New Brunswick, N.J.) · 2024
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1 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Esther Arenas-ArroyoDepartment of Economics, Vienna University of Economics and Business (WU), Building D4, 2nd Floor, Welthandelsplatz 1, 1020 Vienna, Austria.
Daniel Fernandez-KranzIE-University-IE Business School, c/ María de Molina, 12, 4-B 28006 Madrid, Spain.
Natalia NollenbergerIE University-IE Business School, María del Molina, 31Bis, 28006 Madrid, Spain.
IE University · ESVienna University of Economics and Business · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the COVID-19 outbreak imposing stay at home and social distancing policies, warnings about the impact of lockdown and its economic consequences on domestic violence have surged. This paper disentangles the effect of forced cohabitation and economic stress on intimate partner violence. Using an online survey data set, we find a 23% increase of intimate partner violence during the lockdown. Our results indicate that the impact of economic consequences is twice as large as the impact of lockdown. We also find large but statistically imprecise estimates of a large increase of domestic violence when the relative position of the man worsens, especially in contexts where that position was already being threatened. We view our results as consistent with the male backlash and emotional cue effects.

Indexed as

CoronavirusCovid-19Economic stressIntimate partner violenceLockdown

Identifiers

PMID35702337
PMCPMC9186438
OpenAlexW3112268709

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.