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A Fuzzy Index and Severity Scale to Measure Violence Against Women

Author

Listed:
  • Francesca Bettio

    (Università di Siena)

  • Elisa Ticci

    (Università di Siena)

  • Gianni Betti

    (Università di Siena)

Abstract

Measuring and comparing levels of violence against women across individuals or countries are controversial exercises, and yet they remain essential to understanding the phenomenon. We develop a scale of severity of violence against women based on fuzzy set theory. The scale can be used to derive fuzzy indexes of violence which account for the prevalence, frequency and severity of violence. Unlike existing alternatives, however, the scale that we propose is based on objective information rather than subjective assessment; it is parsimonious in terms of the amount of information that it requires; and it is less vulnerable to risks of cultural bias. We exploit our scale to unravel a puzzle which arises from the largest survey of violence against women in Europe to date, namely that some of the more gender equal countries record higher prevalence rates for violence from intimate partners. We show that the puzzle is resolved once violence is weighted by severity using our scale instead of being measured by simple prevalence.

Suggested Citation

  • Francesca Bettio & Elisa Ticci & Gianni Betti, 2020. "A Fuzzy Index and Severity Scale to Measure Violence Against Women," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(1), pages 225-249, February.
    • Handle: RePEc:spr:soinre:v:148:y:2020:i:1:d:10.1007_s11205-019-02197-7
    DOI: 10.1007/s11205-019-02197-7
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    References listed on IDEAS

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    1. Gianni Betti & Francesca Gagliardi & Achille Lemmi & Vijay Verma, 2015. "Comparative measures of multidimensional deprivation in the European Union," Empirical Economics, Springer, vol. 49(3), pages 1071-1100, November.
    2. Arnstein Aassve & Gianni Betti & Stefano Mazzuco & Letizia Mencarini, 2007. "Marital disruption and economic well‐being: a comparative analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 781-799, July.
    3. Gianni Betti & Antonella D’Agostino & Laura Neri, 2011. "Educational Mismatch of Graduates: a Multidimensional and Fuzzy Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 103(3), pages 465-480, September.
    4. Nanak Kakwani & Jacques Silber (ed.), 2008. "Quantitative Approaches to Multidimensional Poverty Measurement," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-58235-4.
    5. Gianni Betti & Rossella Soldi & Ilija Talev, 2016. "Fuzzy Multidimensional Indicators of Quality of Life: The Empirical Case of Macedonia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(1), pages 39-53, May.
    6. Anna Aizer, 2010. "The Gender Wage Gap and Domestic Violence," American Economic Review, American Economic Association, vol. 100(4), pages 1847-1859, September.
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    Cited by:

    1. Wei Su & Gianni Betti & Baris Ucar, 2020. "Longitudinal measures of fuzzy poverty: a focus on Czechia, Hungary and Poland after the crisis," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 27-41, February.
    2. Sumya, Tasnia, 2022. "Woman-to-woman suppression and violence in Bangladesh: Myth or reality?," OSF Preprints fcdvw, Center for Open Science.
    3. Nita Handastya & Gianni Betti, 2023. "The ‘Double Fuzzy Set’ Approach to Multidimensional Poverty Measurement: With a Focus on the Health Dimension," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(1), pages 201-217, February.

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    More about this item

    Keywords

    Violence against women; Fuzzy set theory; Severity of violence scales; Europe; Gender;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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