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An Age-Period-Cohort model for gender gap in youth mortality

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  • Lanfiuti Baldi, Giacomo
  • NIGRI, ANDREA

Abstract

In this paper, we introduce a novel framework in longevity study, operating on the statistical approach of the Age--Period--Cohort framework by leveraging the skew-normal distribution and Bayesian estimation. We propose a specific application to gender gap analysis and forecasting. By employing mortality data from the Human Mortality Database in the USA, our study contributes a two-fold advancement. First, we present a novel perspective on gender gap analysis and forecasting, improving the current literature. Second, we contribute an improvement to the statistical framework for Age--Period--Cohort analysis. The proposed model offers invaluable insights applicable to healthcare planning and public interventions, providing a comprehensive snapshot of the gender gap across the population, and indispensable information for devising healthcare strategies.

Suggested Citation

  • Lanfiuti Baldi, Giacomo & NIGRI, ANDREA, 2023. "An Age-Period-Cohort model for gender gap in youth mortality," OSF Preprints z3qmw, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:z3qmw
    DOI: 10.31219/osf.io/z3qmw
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    4. Shripad Tuljapurkar & Nan Li & Carl Boe, 2000. "A universal pattern of mortality decline in the G7 countries," Nature, Nature, vol. 405(6788), pages 789-792, June.
    5. Andrea Nigri & Elisabetta Barbi & Susanna Levantesi, 2022. "The relay for human longevity: country-specific contributions to the increase of the best-practice life expectancy," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4061-4073, December.
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