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

Giacomo Lanfiuti Baldi and Andrea Nigri

No z3qmw, OSF Preprints from Center for Open Science

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.

Date: 2023-10-17
New Economics Papers: this item is included in nep-age
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:z3qmw

DOI: 10.31219/osf.io/z3qmw

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