IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v91y2024ics0038012123002240.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012123002240
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2023.101712?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. repec:nas:journl:v:115:y:2018:p:e832-e840 is not listed on IDEAS
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leonardo Cefalo & Susanna Levantesi & Andrea Nigri, 2024. "Modeling Gender Life Expectancy Ratio in a Multi-population Framework," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 175(3), pages 807-835, December.
    2. Alessandro Feraldi & Virginia Zarulli & Stefano Mazzuco & Cristina Giudici, 2024. "Functional data analysis approach in population studies: an application to the gender gap in life expectancy," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(6), pages 5125-5150, December.
    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. Minjung Kyung & Ju-Hyun Park & Ji Yeh Choi, 2022. "Bayesian Mixture Model of Extended Redundancy Analysis," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 946-966, September.
    5. Katrien Antonio & Anastasios Bardoutsos & Wilbert Ouburg, 2015. "Bayesian Poisson log-bilinear models for mortality projections with multiple populations," BAFFI CAREFIN Working Papers 1505, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    6. Qiu, Yun & Liu, Yunning & Shi, Wei & Zhou, Maigeng, 2024. "The impact of ozone pollution on mortality: Evidence from China," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    7. Blake, David & Cairns, Andrew J.G., 2021. "Longevity risk and capital markets: The 2019-20 update," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 395-439.
    8. Elizabeth Ann Maharaj & Pierpaolo D’Urso & Don Galagedera, 2010. "Wavelet-based Fuzzy Clustering of Time Series," Journal of Classification, Springer;The Classification Society, vol. 27(2), pages 231-275, September.
    9. Naoto Yamashita & Shin-ichi Mayekawa, 2015. "A new biplot procedure with joint classification of objects and variables by fuzzy c-means clustering," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 9(3), pages 243-266, September.
    10. Jevtić, Petar & Regis, Luca, 2019. "A continuous-time stochastic model for the mortality surface of multiple populations," Insurance: Mathematics and Economics, Elsevier, vol. 88(C), pages 181-195.
    11. Pierpaolo D’Urso & Vincenzina Vitale, 2022. "A Kemeny Distance-Based Robust Fuzzy Clustering for Preference Data," Journal of Classification, Springer;The Classification Society, vol. 39(3), pages 600-647, November.
    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. Grazini, Chiara, 2024. "Energy poverty as capacity deprivation: A study of social housing using the partially ordered set," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    14. Fattore, Marco & Alaimo, Leonardo Salvatore, 2023. "A partial order toolbox for building synthetic indicators of sustainability with ordinal data," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    15. Renato Coppi & Pierpaolo D’Urso & Paolo Giordani, 2010. "A Fuzzy Clustering Model for Multivariate Spatial Time Series," Journal of Classification, Springer;The Classification Society, vol. 27(1), pages 54-88, March.
    16. Hye Won Suk & Heungsun Hwang, 2016. "Functional Generalized Structured Component Analysis," Psychometrika, Springer;The Psychometric Society, vol. 81(4), pages 940-968, December.
    17. Stéphanie Bougeard & Hervé Abdi & Gilbert Saporta & Ndèye Niang, 2018. "Clusterwise analysis for multiblock component methods," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(2), pages 285-313, June.
    18. Zhou, Lixing & Takane, Yoshio & Hwang, Heungsun, 2016. "Dynamic GSCANO (Generalized Structured Canonical Correlation Analysis) with applications to the analysis of effective connectivity in functional neuroimaging data," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 93-109.
    19. Shi, Zheng, 2023. "The impact of regional ICT development on job quality of the employee in China," Telecommunications Policy, Elsevier, vol. 47(6).
    20. Seohee Park & Seongeun Kim & Ji Hoon Ryoo, 2020. "Latent Class Regression Utilizing Fuzzy Clusterwise Generalized Structured Component Analysis," Mathematics, MDPI, vol. 8(11), pages 1-16, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:91:y:2024:i:c:s0038012123002240. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.