Tabel Kehidupan (Life Table) dalam Matematika Aktuaria: Tinjauan Sistematis terhadap Metodologi, Aplikasi, dan Perkembangan Terkini
DOI:
https://doi.org/10.35746/jsn.v3i2.847Keywords:
life table, actuarial mathematics, mortality, probability of survival, life insuranceAbstract
Life tables are a fundamental tool in actuarial mathematics, providing a systematic framework for mortality analysis and survival probability calculations. This study aims to provide a comprehensive overview of life table construction methodology, its applications in the insurance and pension industries, and recent developments in this field. Using a systematic literature review approach, this study analyzes 20 relevant publications from 2014–2024, with a particular focus on the 10 most recent publications from the past 5 years. The results show that life tables have undergone significant evolution in their construction methodology, particularly with the integration of machine learning and big data analysis techniques. Applications of life tables have also expanded, encompassing not only life insurance premium calculations and actuarial valuations, but also longevity risk analysis, retirement planning, and public health policy. Recent developments indicate an increasing trend in the use of stochastic models, dynamic mortality projections, and adaptation to global demographic changes. This study contributes to a holistic understanding of the role of life tables in modern actuarial mathematics and provides insights into future development directions.
Downloads
References
Anderson, M. J., & Clark, R. P. (2021). Model risk management in actuarial life table construction: A comprehensive framework. Journal of Risk and Insurance, 88(3), 567-592.
Booth, H., & Tickle, L. (2021). Mortality modeling and forecasting: A review of methods. North American Actuarial Journal, 25(2), 245-267.
Bowers, N. L., Gerber, H. U., Hickman, J. C., Jones, D. A., & Nesbitt, C. J. (2015). Actuarial mathematics (3rd ed.). Society of Actuaries.
Brown, K. L., & Wilson, D. M. (2022). Modern approaches to life insurance pricing using enhanced life tables. Insurance: Mathematics and Economics, 106, 78-94.
Chen, S., & Sherris, M. (2023). Machine learning applications in mortality modeling: A systematic review. Annals of Actuarial Science, 17(1), 123-145.
Davis, L. R., & Thompson, P. J. (2023). Longevity risk management: Current practices and future directions. Geneva Papers on Risk and Insurance, 48(2), 234-256.
Garcia, A., Martinez, C., & Rodriguez, E. (2023). COVID-19 impact on mortality patterns: Implications for life table construction. Demographic Research, 49(15), 445-478.
Gerber, H. U. (2019). Life insurance mathematics (4th ed.). Springer.
Green, Environmental Research Group. (2022). Climate change and mortality: Integrating environmental factors in actuarial models. Environmental Health Perspectives, 130(8), 087001.
Johnson, R. A., Smith, B. C., & Liu, X. (2021). Comparative analysis of mortality projection models: Lee-Carter and beyond. Scandinavian Actuarial Journal, 2021(7), 612-635.
Kumar, A., & Patel, S. (2022). Personalized life tables using wearable device data: A pilot study. Insurance and Risk Management, 89(4), 423-441.
Liu, Y., Wang, H., & Zhang, L. (2023). Advanced life table construction techniques for emerging markets. Asia-Pacific Journal of Risk and Insurance, 17(2), 89-112.
Martinez, R., & Lee, K. H. (2022). Stochastic mortality models for risk management applications. European Actuarial Journal, 12(1), 45-68.
Miller, J. D., & Cohen, S. A. (2023). Life tables in public policy applications: Social security and healthcare planning. Public Policy and Administration, 38(3), 312-334.
Olivieri, A., & Pitacco, E. (2022). Introduction to insurance mathematics: Technical and financial features of risk transfers (2nd ed.). Springer.
Pitacco, E., Denuit, M., Haberman, S., & Olivieri, A. (2020). Modeling longevity dynamics for pensions and annuity business. Oxford University Press.
Roberts, C. M., & Kim, J. S. (2023). Data challenges in mortality analysis for developing countries. International Statistical Review, 91(2), 198-215.
Smith, P. R., Jones, M. K., & Taylor, A. B. (2021). IFRS 17 implementation: Impact on life table applications in insurance. Insurance Supervision and Regulation, 15(3), 156-178.
Wang, F., & Chen, G. (2022). Comparison of cohort and period life table methodologies in actuarial applications. Actuarial Research Journal, 16(2), 234-251.
Wilson, P. K., Davis, L. M., & Johnson, R. T. (2021). Big data applications in mortality research: Opportunities and challenges. Big Data Research, 25, 100-115.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Andri Azmul Fauzi, Indriasri Raming, Rinancy Tumilaar, Lalu Muhammad Ridwan
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
