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Longevity Comparison by Gender: Exploring the Future Through an Evidence-Based Approach

In: Quantitative Methods and Data Analysis in Applied Demography - Volume 1

Author

Listed:
  • Giovanna Apicella

    (University of Udine, Department of Economics and Statistics)

  • Emilia Di Lorenzo

    (University of Naples Federico II, Department of Economic and Statistical Sciences)

  • Giulia Magni

    (University of Salerno, Department of Economics and Statistics)

  • Marilena Sibillo

    (University of Salerno, Department of Economics and Statistics)

Abstract

Our demographic study provides a detailed picture of the short-term, weekly, mortality fluctuations charactering females and males over more than a decade. We follow an evidence-based approach, since we use data from the Human Mortality Database to detect stylized empirical evidence about the behaviour of mortality, during normal times and in the most recent time span, highly affected by the COVID-19 pandemic disease. Our study relies on time-series mortality data collected at a finer scale than traditionally done in the actuarial literature and encompasses different age groups and gender. The empirical evidence represents the starting point for exploring the future mortality patterns. Our quantitative analysis, namely based on stochastic mortality modelling, indeed, answers the question whether accounting for higher frequency mortality data delivers more reliable mortality projections, namely projections that approximate more closely the realized mortality phenomenon.

Suggested Citation

  • Giovanna Apicella & Emilia Di Lorenzo & Giulia Magni & Marilena Sibillo, 2025. "Longevity Comparison by Gender: Exploring the Future Through an Evidence-Based Approach," The Springer Series on Demographic Methods and Population Analysis, in: Christos H. Skiadas & Charilaos Skiadas (ed.), Quantitative Methods and Data Analysis in Applied Demography - Volume 1, chapter 0, pages 147-157, Springer.
    • Handle: RePEc:spr:ssdmcp:978-3-031-82275-9_12
    DOI: 10.1007/978-3-031-82275-9_12
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