Violence against women and the substitution of help services in times of lockdown: Triangulation of three data sources in Germany

We study the impact of the COVID-19 pandemic on domestic violence against women in Germany in 2020. The analysis draws on three data sources: (1) longitudinal administrative data on the volume of help requests to helplines, shelters and counselling services, (2) cross-sectional survey data collected during the first wave of the pandemic, and (3) a qualitative online survey with counsellors and domestic violence experts. The number of violence-related requests at helplines increased significantly by 34% with the first physical distancing measures, whereas ambulatory care services such as shelters experienced a 14% increase in help requests only after physical distancing restrictions were lifted. Our results indicate that individuals substituted help services away from ambulatory care towards helplines. We do not observe exacerbated violence in states with greater mobility reductions, lower day care capacity for childcare or higher COVID-19 infection numbers. Yet, our cross-sectional household-level data suggests that home quarantine and financial distress may have been triggers of violence. Our findings highlight the importance of providing easily accessible online counselling offers for survivors of violence and governmental financial relief packages.

Authors

Institutions

Publication Details

Journal
Journal of Economic Behavior & Organization
Published
2025-02-22
DOI
https://doi.org/10.1016/j.jebo.2024.106879
Primary Topic
Intimate Partner and Family Violence
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Violence against women and the substitution of help services in times of lockdown: Triangulation of three data sources in Germany

Cara Ebert, Janina Steinert
Journal of Economic Behavior & Organization
Intimate Partner and Family Violence
article

Violence against women and the substitution of help services in times of lockdown: Triangulation of three data sources in Germany

Cara Ebert, Janina Steinert
article en

Abstract

We study the impact of the COVID-19 pandemic on domestic violence against women in Germany in 2020. The analysis draws on three data sources: (1) longitudinal administrative data on the volume of help requests to helplines, shelters and counselling services, (2) cross-sectional survey data collected during the first wave of the pandemic, and (3) a qualitative online survey with counsellors and domestic violence experts. The number of violence-related requests at helplines increased significantly by 34% with the first physical distancing measures, whereas ambulatory care services such as shelters experienced a 14% increase in help requests only after physical distancing restrictions were lifted. Our results indicate that individuals substituted help services away from ambulatory care towards helplines. We do not observe exacerbated violence in states with greater mobility reductions, lower day care capacity for childcare or higher COVID-19 infection numbers. Yet, our cross-sectional household-level data suggests that home quarantine and financial distress may have been triggers of violence. Our findings highlight the importance of providing easily accessible online counselling offers for survivors of violence and governmental financial relief packages.

Journal of Economic Behavior & OrganizationVol. 232
RWI – Leibniz Institute for Economic Research (DE), Technical University of Munich (DE)
Joachim Herz Stiftung
Gender equality
Openalex Percentile: Top 96%
Intimate Partner and Family Violence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.