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The gender gap in life expectancy and lifespan disparity as social risk indicators for international countries: A fuzzy clustering approach

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  • Alaimo, Leonardo Salvatore
  • Nigri, Andrea

Abstract

The careful monitoring of longevity risk has a pivotal role in many fields such as the economy, demography, and social sciences. Despite the life expectancy at birth has increased steadily over the last century, it conceals gender-specific differences worldwide. Indeed, longevity risk varies according to gender-specific risk, where, a single-risk-factor effect differs from different lifestyles. This can create problems for life insurers, pension plans and social security schemes that provide benefits linked to people’s illness, death or survival. This study considers gender differences in longevity heterogeneity in 32 international countries with the aim of identifying homogeneous groups of countries. To do this, we conduct a longitudinal analysis over the period 1990–2015 using the Dynamic Time Warping-based Fuzzy C-Medoids, and two cross-sectional analyses, one for the first year of the series (1990) and one for the last (2015), using the Fuzzy C-Medoids. We analyze longevity patterns with the double lens of lifespan disparity and life expectancy gender gap. The analyses allow us to highlight the characteristics of the countries considered and their trends according to their longevity dynamics, taking into account gender-related risk differences.

Suggested Citation

  • Alaimo, Leonardo Salvatore & Nigri, Andrea, 2024. "The gender gap in life expectancy and lifespan disparity as social risk indicators for international countries: A fuzzy clustering approach," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    • Handle: RePEc:eee:soceps:v:91:y:2024:i:c:s0038012123002240
    DOI: 10.1016/j.seps.2023.101712
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    1. Danesi, Ivan Luciano & Haberman, Steven & Millossovich, Pietro, 2015. "Forecasting mortality in subpopulations using Lee–Carter type models: A comparison," Insurance: Mathematics and Economics, Elsevier, vol. 62(C), pages 151-161.
    2. Virginia Zarulli & Ilya Kashnitsky & James W. Vaupel, 2021. "Death rates at specific life stages mold the sex gap in life expectancy," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(20), pages 2010588118-, May.
    3. Neil K. Mehta & Leah R. Abrams & Mikko Myrskylä, 2020. "US life expectancy stalls due to cardiovascular disease, not drug deaths," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(13), pages 6998-7000, March.
    4. Ainhoa-Elena Léger & Stefano Mazzuco, 2021. "What Can We Learn from the Functional Clustering of Mortality Data? An Application to the Human Mortality Database," European Journal of Population, Springer;European Association for Population Studies, vol. 37(4), pages 769-798, November.
    5. Leonardo Salvatore Alaimo & Alberto Arcagni & Marco Fattore & Filomena Maggino & Valeria Quondamstefano, 2022. "Measuring Equitable and Sustainable Well-Being in Italian Regions: The Non-aggregative Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 711-733, June.
    6. Heungsun Hwang & Wayne Desarbo & Yoshio Takane, 2007. "Fuzzy Clusterwise Generalized Structured Component Analysis," Psychometrika, Springer;The Psychometric Society, vol. 72(2), pages 181-198, June.
    7. Leonardo Salvatore Alaimo & Giulia Nanni, 2018. "Gender inequality in Italy: a territorial analysis," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 72(4), pages 41-52, October-D.
    8. repec:nas:journl:v:115:y:2018:p:e832-e840 is not listed on IDEAS
    9. Virginia Zarulli & Rune Lindahl-Jacobsen & James W. Vaupel, 2020. "Onset of the old-age gender gap in survival," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(25), pages 727-740.
    10. Alaimo, Leonardo Salvatore & Fiore, Mariantonietta & Galati, Antonino, 2022. "Measuring consumers’ level of satisfaction for online food shopping during COVID-19 in Italy using POSETs," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    11. Andrea Nigri & Susanna Levantesi & Mario Marino, 2021. "Life expectancy and lifespan disparity forecasting: a long short-term memory approach," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2021(2), pages 110-133, February.
    12. Pierpaolo D’Urso & Livia De Giovanni & Riccardo Massari & Francesca G. M. Sica, 2019. "Cross Sectional and Longitudinal Fuzzy Clustering of the NUTS and Positioning of the Italian Regions with Respect to the Regional Competitiveness Index (RCI) Indicators with Contiguity Constraints," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(3), pages 609-650, December.
    13. Leonardo Salvatore Alaimo & Mariateresa Ciommi & Ioannis Vardopoulos & Bogdana Nosova & Luca Salvati, 2022. "The Medium-Term Impact of the COVID-19 Pandemic on Population Dynamics: The Case of Italy," Sustainability, MDPI, vol. 14(21), pages 1-12, October.
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