ACTUARIAL UTILIZATION OF GM (1,2) MODEL IN SURVIVORSHIP ANALYSIS
1 Federal University Dutse
2 Actuarial Science Department, University of Jos
3 Federal University Dutse, Faculty of Management Sciences, Department of Actuarial Science
4 Tribhuvan University Nepal, School of Mathematical Sciences
* Corresponding author: chakfaalfred@gmail.com
2 Actuarial Science Department, University of Jos
3 Federal University Dutse, Faculty of Management Sciences, Department of Actuarial Science
4 Tribhuvan University Nepal, School of Mathematical Sciences
* Corresponding author: chakfaalfred@gmail.com
Abstract
"This study aims to provide an analytical utilization of the GM (1,2) model in survivorship estimation, with specific objectives as to determining the force of mortality, estimating the number and curve of survivors, and ascertaining the number and curve of deaths. The data used in this research was sourced from the National Center for Health Statistics 2022 (United States) provisional life table. Data preprocessing and cleansing were conducted using the R statistical tool to ensure accuracy and reliability before analysis. The methodology centers on an analytical estimation approach adopting the GM (1,2) model, which allows for effective solving of limited data peculiar of mortality studies. The models' major parameters (A,B,C) and auxiliary parameters (k,s,g) were deduced following four equidistant backward simultaneous solution using survivorship values of lx which are l20, l40, l60, l80 as 98889, 95721,8665,54986 respectively to fully capture mortality trends across different age groups. The findings illustrate the GM (1,2) model's viability to estimate mortality dynamics. This study concludes that as age increases, the rate of deaths increases and exponentially increases as age goes older reaching omega (w) where lx becomes infinitesimally zero.
Keywords
GM (1
2) model
Force of Mortality
Survivors
Curve of Death
GM (1
2) Auxiliary Parameters
References
- Adeyele, J.S.(2011). Mortality patterns of civil servants in Nigeria: Its implications on cost of retirement income. Germany: LAMBERT Academic Publishing.
- Adeyele, J.S. (2023). Fundamentals of Actuarial Science I Nigeria: Adeyele Printing (Nig.) Enterprises.
- Adeyele,J.S.(2023). Fundamentals of Actuarial Science 2 Nigeria: Adeyele Printing (Nig.) Enterprises.
- Bowers N. L, Gerber H. U, Hickman J. C, Jones D. A & Nesbitt C. J (1997). Actuarial Mathematics (2nd ed). Illinois: Society of Actuaries.
- Castellares F, Patricio S. C, Lemonte A. J & Queiroz B. L. (2020). On closed-form expressions to Gompertz-Makeham life expectancy. Theoretical Population Biology. 134, 53-60
- Castellares F., Patricio S. C. & Lemonte A. (2022). On the Gompertz-Makeham law: Auseful mortality model to deal with human mortality. Brazilian Journal of Probability and Statistics, 36(3), 613-639.
- Chakfa A.T, Ogungbenle G.M, Muhammad A.A, Abdulkarim K & OyekanmI D.J (2024) A Gender Comparison of Male and Female Force of Mortality Under Gompertz's Law. Fuoye Journal of Accounting and Management; 7(2),.99-120.
- Ediev D. M (2011). At modal age at death, the hazard rate is determined by its derivative. Vienna Institute of Demography Working Papers, No 8/2011 Austrian Academy of Sciences, Vienna of Demography, Vienna, 1-14
- Fillipe Costa de Souza (2022). Closed-form expression to Gompertz-Makeham life expectances: a historical note. Nov. 2022. Doi: 10.20947/S0102-3098a0220
- Gavrilov L. A. & Gavrilova N. S. (2001). The Reliability Theory of Aging and Longevity. Vol 213(4), 2001, pages 527-545
- Gavrilov, Leonid A.& Gavrilova, Natalia S. (2011). Mortality measurement at Advanced Ages: Astudy of the Social Security Administration Death Master File. North American Actuarial Journal. 15(3): 432-447
- Gompertz, B. (1825). On the nature of the functions expressive of the law of human mortality, and on new mode of determining the value of life contingencies. Royal Society. 115: 513-585. Doi:10.1098/rstl.1825.
- Hunt, A., & Blake, D. (2021). On the Structure and Classification of Mortality Models. North American Actuarial Journal. Vol.25(1) pages 215-235
- Makeham, W. M. (1860). On the law of mortality and construction of Annuity Tables. Inst. Actuaries and Assur. Mag. 8(6): 301-310. JSTOR 41134925.
- OECD. (2023). Pensions at a Glance 2023: OECD and G20 Indicators.
- Oeppen, J., & Vaupel, J. W. (2002). Broken limits to life expectancy. Science, 296(5570), 1029–1031. https://doi.org/10.1126/science.1069675
- Ogungbenle G. M, Sirisena U. W, Ukwu C. & Adeyele J. S. (2024). Generating Mortality Rate Intensity for Life Insurance Applications through Novel Method of Successive Differencing under the Parsimonious Generalised Makeham's Framework. Lafia Journal of Scientific and Industrial Research. 2(2) 2024
- Ogungbenle G. M, Sogunro A. B & Ogungbenle O. E. (2024). Death where is your sting? Evidence from the Makeham's curve of death calisthenics. Journal of Multidisciplinary Research Advance.Vol. 2(2), 80-104
- Silvio C. Patricio Trifon I. Misso (2024). Makeham mortality models as mixtures: Advancing mortality estimations through competing risks frameworks. Vol 51(18), pages 595-624. DOI: 10.4054/DemRes.2024.51.18
- United Nations. (2024). World Population Prospects 2024: Summary of Results.
- United States Mortality DataBase. Human Mortality Database.Retrived 2025-04-04.
- Xuchong Liu, Jianian Zhu & Kai Zou (2022). The development of trend of Chhina's aging population: a forecast perspective. Springer Nature. Volume 8, pages 3463-3478, (2022).
How to Cite
Chakfa, A. T., Ogungbenle, G. M., Abdulkarim, F., Muhammad, A., Dabo, S. B., & Rawal, S. (2025). ACTUARIAL UTILIZATION OF GM (1,2) MODEL IN SURVIVORSHIP ANALYSIS. Nigerian Actuarial Journal, 2(1), 33-45.
A. T. Chakfa, G. M. Ogungbenle, F. Abdulkarim, A. Muhammad, S. B. Dabo, and S. Rawal, "ACTUARIAL UTILIZATION OF GM (1,2) MODEL IN SURVIVORSHIP ANALYSIS," Nigerian Actuarial Journal, vol. 2, no. 1, pp. 33-45, April 2025.