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COVID-19 Lockdown and Domestic Violence: Evidence from Internet-Search Behavior in 11 Countries

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  • Inés Berniell

    (CEDLAS-IIE-FCE-UNLP)

  • Gabriel Facchini

    (Department of Applied Economics, Universitat Autònoma de Barcelona)

Abstract

We study the impact of the COVID-19 pandemic on domestic violence in 11 countries with different ex-ante incidence of domestic violence (DV) and lockdown intensity. We use a novel measure of DV incidents that allows us to make cross-country comparisons: a Google search intensity index of DV-related topics. Our difference-indifference estimates show an increase in DV search intensity after lockdown (31%), with larger effects as more people stayed at home (measured with Google Mobility Data). The peak of the increase in DV appears, on average, 7 weeks after the introduction of the lockdown. While we observe that the positive impacts on DV is a widespread phenomenon, the effect in developed countries is more than twice as strong as in Latin American countries. We show that the difference in impact correlates with the intensity of compliance with stay-at-home measures in the two groups.

Suggested Citation

  • Inés Berniell & Gabriel Facchini, 2020. "COVID-19 Lockdown and Domestic Violence: Evidence from Internet-Search Behavior in 11 Countries," CEDLAS, Working Papers 0273, CEDLAS, Universidad Nacional de La Plata.
  • Handle: RePEc:dls:wpaper:0273
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    References listed on IDEAS

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    RePEc Biblio mentions

    As found on the RePEc Biblio, the curated bibliography for Economics:
    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Economic consequences > Employment and Work > Intra-household allocation

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    Cited by:

    1. Sonia Bhalotra & Emilia Brito & Damian Clarke & Pilar Larroulet & Francisco J. Pino, 2021. "Dynamic impacts of lockdown on domestic violence: Evidence from multiple policy shifts in Chile," WIDER Working Paper Series wp-2021-189, World Institute for Development Economic Research (UNU-WIDER).
    2. Michele Battisti & Ilpo Kauppinen & Britta Rude, 2022. "Twitter and Crime: The Effect of Social Movements on GenderBased Violence," ifo Working Paper Series 381, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    3. Selin Köksal & Luca Maria Pesando & Valentina Rotondi & Ebru Şanlıtürk, 2022. "Harnessing the Potential of Google Searches for Understanding Dynamics of Intimate Partner Violence Before and After the COVID-19 Outbreak," European Journal of Population, Springer;European Association for Population Studies, vol. 38(3), pages 517-545, August.
    4. M. Amelia Gibbons & Tommy E. Murphy & Martín A. Rossi, 2021. "Confinement and intimate partner violence," Kyklos, Wiley Blackwell, vol. 74(3), pages 349-361, August.
    5. Roman, Soraya & Aguiar-Palma, Marina & Machado, Cecilia, 2023. "A tale of two cities: Heterogeneous effects of COVID-19 quarantine on domestic violence in Brazil," Social Science & Medicine, Elsevier, vol. 331(C).
    6. Vicente Javier Clemente-Suárez & Marina Begoña Martínez-González & Juan Camilo Benitez-Agudelo & Eduardo Navarro-Jiménez & Ana Isabel Beltran-Velasco & Pablo Ruisoto & Esperanza Diaz Arroyo & Carmen C, 2021. "The Impact of the COVID-19 Pandemic on Mental Disorders. A Critical Review," IJERPH, MDPI, vol. 18(19), pages 1-25, September.
    7. Krzysztof Drachal & Daniel González Cortés, 2022. "Estimation of Lockdowns’ Impact on Well-Being in Selected Countries: An Application of Novel Bayesian Methods and Google Search Queries Data," IJERPH, MDPI, vol. 20(1), pages 1-24, December.
    8. Gu, Xin & Li, Hao & Peng, Langchuan, 2022. "The anti-domestic violence law and women's welfare: Evidence from a natural experiment in China," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 1-16.
    9. Davis, Lewis & Mavisakalyan, Astghik & Weber, Clas, 2022. "Gendered Language and Gendered Violence," GLO Discussion Paper Series 1127, Global Labor Organization (GLO).
    10. Ahmed Shoukry Rashad, 2022. "The Power of Travel Search Data in Forecasting the Tourism Demand in Dubai," Forecasting, MDPI, vol. 4(3), pages 1-11, July.

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    More about this item

    JEL classification:

    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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