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Measuring Gender Gap from a Poset Perspective

Author

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  • Agnese Maria Brisco

    (University of Milano-Bicocca)

  • Patrizia Farina

    (University of Milano-Bicocca)

Abstract

During the last two decades, interest towards sampling survey on gender roles perceived by the population has significantly grown in developed as well as in developing countries. The micro-perspective of research improves the knowledge of gender discrimination dynamics even among subgroups. At the same time, it stands as a methodological challenge, as this approach needs an adequate statistical method for the analysis of individual data. This contribute aims firstly at offering the opportunity of increasing the knowledge about gender disparities through individual opinions and perceptions. Secondly, it aims at enlightening the pertinence of the poset methodology for the analysis of ordinal variables and response profiles. To this purpose, we collected data about 16 African countries included in Health Demographic Survey and we analysed a battery of questions about decision-making dimension by means of a poset methodology. We summarized the results of the poset analysis by means of descriptive indicators and we investigated their relation with the Global Gender Gap index (GGGI), an official index released every year by the World Economic Forum.

Suggested Citation

  • Agnese Maria Brisco & Patrizia Farina, 2018. "Measuring Gender Gap from a Poset Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1109-1124, April.
    • Handle: RePEc:spr:soinre:v:136:y:2018:i:3:d:10.1007_s11205-017-1582-8
    DOI: 10.1007/s11205-017-1582-8
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    References listed on IDEAS

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    1. United Nations UN, 2015. "The Millennium Development Goals Report 2015," Working Papers id:7097, eSocialSciences.
    2. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    3. Fulvia Mecatti & Franca Crippa & Patrizia Farina, 2012. "A Special Gen(d)re of Statistics: Roots, Development and Methodological Prospects of Gender Statistics," International Statistical Review, International Statistical Institute, vol. 80(3), pages 452-467, December.
    4. United Nations UN, 2015. "The Millennium Development Goals Report 2015," Working Papers id:7222, eSocialSciences.
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    Cited by:

    1. Alberto Arcagni & Laura Cavalli & Marco Fattore, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," Working Papers 2021.01, Fondazione Eni Enrico Mattei.
    2. Arcagni, Alberto & Cavalli, Laura & Fattore, Marco, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," FEEM Working Papers 309036, Fondazione Eni Enrico Mattei (FEEM).
    3. Alaimo, Leonardo Salvatore & Ivaldi, Enrico & Landi, Stefano & Maggino, Filomena, 2022. "Measuring and evaluating socio-economic inequality in small areas: An application to the urban units of the Municipality of Genoa," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    4. Flavio Comim, 2021. "A Poset-Generalizability Method for Human Development Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(3), pages 1179-1198, December.
    5. Shaye Palagi & Amy Javernick-Will, 2020. "Pathways to Livable Relocation Settlements Following Disaster," Sustainability, MDPI, vol. 12(8), pages 1-25, April.
    6. Alberto Arcagni & Laura Cavalli & Marco Fattore, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," Working Papers 2021.01, Fondazione Eni Enrico Mattei.
    7. Filippo Damiani & Paula Rodríguez-Modroño, 2024. "Measuring the digital inclusion of women: a poset-based approach to the women in digital scoreboard," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 705-722, February.
    8. Stefania M. L. Rimoldi & Alberto Arcagni & Marco Fattore & Laura Terzera, 2022. "Social and Material Vulnerability of the Italian Municipalities: Comparing Alternative Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 523-540, June.

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