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Measuring Violence against Women with Experimental Methods

Author

Listed:
  • Jorge M. Agüero
  • Veronica Frisancho

Abstract

Intimate partner violence prevalence is a central indicator of the Sustainable Development Goals for women’s agency. However, measuring its progress largely relies on self-reports that could suffer from misreporting. Focusing on a sample in impoverished urban areas in Peru, we replicate direct measures from the widely used Demographic and Health Surveys and compare them against list experiments, a method providing greater privacy to women. We find no significant differences across direct and indirect methods in terms of the report of physical and sexual violence. This result largely persists when testing across 16 different subgroups and accounting for multiple-hypothesis testing.

Suggested Citation

  • Jorge M. Agüero & Veronica Frisancho, 2022. "Measuring Violence against Women with Experimental Methods," Economic Development and Cultural Change, University of Chicago Press, vol. 70(4), pages 1565-1590.
    • Handle: RePEc:ucp:ecdecc:doi:10.1086/714008
    DOI: 10.1086/714008
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. The paradox of empowerment: gender norms and intimate partner violence in PNG
      by Alexander Smith in Development Policy Blog on 2024-02-22 19:00:32

    Citations

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    Cited by:

    1. Abay, Kibrom A. & Ayalew, Hailemariam & Terfa, Zelalem & Karugia, Joseph & Breisinger, Clemens, 2025. "How good are livestock statistics in Africa? Can nudging and direct counting improve the quality of livestock asset data?," Journal of Development Economics, Elsevier, vol. 176(C).
    2. Aurelia Lepine & Yah Ariane Bernadette N’Djore & Carole Treibich & Henry Cust & Laurent Foubert & Megan Passey & Selina Binder, 2024. "Estimating the prevalence of child labour in the cocoa industry via indirect elicitation methods: a mixed-methods study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(4), pages 1-29, December.
    3. Bertelli, Olivia & Calvo, Thomas & Lavallée, Emmanuelle & Mercier, Marion & Mesplé-Somps, Sandrine, 2025. "What one thinks, what one says and what one does: Male justifications and practices of gender-based violence in Mali," Journal of Development Economics, Elsevier, vol. 176(C).
    4. Kadam, Aditi & McCullough, Ellen B. & McGavock, Tamara J. & Magnan, Nicholas, 2025. "Who is asking and how? Effects of survey mode and enumerator gender on measuring women’s life experience," World Development, Elsevier, vol. 195(C).
    5. Emilia Barili & Veronica Grembi & Anna Rosso, 2021. "Domestic Violence and Gender Stereotypes: Perceptions, Justifications, and Reactions," Development Working Papers 474, Centro Studi Luca d'Agliano, University of Milano.
    6. Díaz, Juan-José & Saldarriaga, Victor, 2023. "A drop of love? Rainfall shocks and spousal abuse: Evidence from rural Peru," Journal of Health Economics, Elsevier, vol. 89(C).
    7. Gutierrez, Emilio & Rubli, Adrian, 2024. "LGBT+ persons and homophobia prevalence across job sectors: Survey evidence from Mexico," Labour Economics, Elsevier, vol. 87(C).
    8. Sviatschi, Maria Micaela & Trako, Iva, 2024. "Gender violence, enforcement, and human capital: Evidence from women’s justice centers in Peru," Journal of Development Economics, Elsevier, vol. 168(C).
    9. Olivia Bertelli & Thomas Calvo & Massa Coulibaly & Moussa Coulibaly & Emmanuelle Lavallée & Marion Mercier & Sandrine Mesplé-Somps & O. Z. Traoré, 2023. "Collecter des données sur des expériences et attitudes sensibles : le cas du Mali," Post-Print hal-04442342, HAL.

    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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