arXiv Open Access 2025

Mortality simulations for insured and general populations

Asmik Nalmpatian Christian Heumann

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Abstrak

This study presents a framework for high-resolution mortality simulations tailored to insured and general populations. Due to the scarcity of detailed demographic-specific mortality data, we leverage Iterative Proportional Fitting (IPF) and Monte Carlo simulations to generate refined mortality tables that incorporate age, gender, smoker status, and regional distributions. This methodology enhances public health planning and actuarial analysis by providing enriched datasets for improved life expectancy projections and insurance product development.

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stat.AP stat.ME

Penulis (2)

Asmik Nalmpatian

Christian Heumann

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APA MLA BibTeX

Nalmpatian, A., Heumann, C. (2025). Mortality simulations for insured and general populations. https://arxiv.org/abs/2502.08814

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓