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. 2021 Feb:194:104350.
doi: 10.1016/j.jpubeco.2020.104350. Epub 2020 Dec 17.

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

Affiliations

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

Esther Arenas-Arroyo et al. J Public Econ. 2021 Feb.

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.

Keywords: Coronavirus; Covid-19; Economic stress; Intimate partner violence; Lockdown.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. A1
Fig. A1
Facebook’s page and boosted post with the link to the survey.
Fig. A2
Fig. A2
Cumulative distribution function of women who left the survey by question. Notes: The vertical line refers to the first question about domestic violence. Sample: Women who did not finish the survey.
Fig. A3
Fig. A3
Event-study coefficient plot. Note: Sample time period: January 2003 to June 2020. Period t represents the month when the lockdown started (March 2020). Periods prior to t-12 are used as reference. The model includes province, month and year FE. Standard errors are clustered at the province level.

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