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Measuring Domestic Violence. Individual Attitudes and Time Use Within the Household

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  • Elena Pisanelli

Abstract

This paper proposes a novel empirical strategy to measure cultural justifications of domestic violence within households, with direct implications for demographic behavior and gender inequality. Leveraging survey data on individual attitudes and high-frequency time-use diaries from Italian couples with children, I construct a composite index that integrates stated beliefs with observed household practices. Using structural equation modeling, I disentangle latent tolerance of domestic violence from reported attitudes and validate the index against both individual and partner characteristics, as well as time allocation patterns. Results reveal systematic heterogeneity by gender, education, and normative environments. Conservative gender and parenthood norms are strong predictors of tolerance, while higher male education reduces it. Tolerance of violence is also positively associated with reported leisure time with partners and children, suggesting that co-presence does not necessarily reflect egalitarian interaction but may coexist with unequal bargaining structures. Beyond advancing measurement, the findings highlight how cultural tolerance of domestic violence is embedded in household arrangements that influence fertility, labor supply, and the intergenerational transmission of norms. The proposed framework offers a scalable tool for economists and policymakers to monitor hidden inequalities and design interventions targeting family stability, gender equity, and child well-being.

Suggested Citation

  • Elena Pisanelli, 2025. "Measuring Domestic Violence. Individual Attitudes and Time Use Within the Household," Papers 2511.01473, arXiv.org, revised Nov 2025.
  • Handle: RePEc:arx:papers:2511.01473
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    1. Dan Anderberg & Helmut Rainer & Jonathan Wadsworth & Tanya Wilson, 2016. "Unemployment and Domestic Violence: Theory and Evidence," Economic Journal, Royal Economic Society, vol. 126(597), pages 1947-1979, November.
    2. Jillian B. Carr & Analisa Packham, 2019. "SNAP Benefits and Crime: Evidence from Changing Disbursement Schedules," The Review of Economics and Statistics, MIT Press, vol. 101(2), pages 310-325, May.
    3. Joeri Minnen, 2014. "Modular Online Time Use Survey (MOTUS) – Translating an existing method in the 21st century," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 11(1), pages 73-93, December.
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