MULTI-STATE MODEL FOR CALCULATION OF LONG-TERM CARE INSURANCE PRODUCT PREMIUM IN INDONESIA
Abstract
Long Term Care (LTC) insurance is a type of health insurance. One of the LTC products is Annuity as A Rider Benefit. This insurance provides benefits for medical care costs during the term and death benefits if the insured dies. This insurance product can be modeled with a multi-state model. The multi-state model is a stochastic process in which the subject can switch states at a specified number of states. This paper discusses the calculation of LTC insurance premiums with the Annuity as A Rider Benefit product using a multi-state model for critically ill patients in Indonesia. The state used consisted of eight states, namely healthy, cancer, heart disease, stroke, died from the illness from each disease, and died from others. The premium calculation also utilized Markov chain transition probabilities. The data used were data on Indonesia's population in 2018, data on the prevalence of cancer, heart disease, stroke, and Indonesia's 2019 mortality table. The stages of this study were calculating the net single premium value, benefit annuity value, and insurance premium value. The case study was conducted on a 25 years old male in good health following LTC insurance with a coverage period of 5 years. It was known that the compensation value for someone who dies was IDR 100,000,000 and the interest rate used was 5%. The calculation results obtained an annual premium of IDR 5,308,915 which was then varied based on gender and varied interest. Insurance premiums for men were more expensive than for women since men had a greater chance of dying. Then, the higher the interest rate taken; the lower premium paid. This was because the interest rate is a discount variable.
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References
F. Baione and S. Levantesi, “Pricing Critical Illness Insurance from Prevalence Rates: Gompertz versus Weibull,” North Am. Actuar. J., vol. 22, pp. 1–19, Mar. 2018, doi: 10.1080/10920277.2017.1397524.
U. S. Pasaribu, H. Husniah, R. R. K. N. Sari, and A. R. Yanti, “Pricing Critical Illness Insurance Premiums Using Multiple State Continous Markov Chain Model,” J. Phys. Conf. Ser., vol. 1366, no. 1, p. 12112, 2019, doi: 10.1088/1742-6596/1366/1/012112.
A. C. Titman and H. Putter, “General tests of the Markov property in multi-state models,” pp. 1–23, 2020.
A. Asanjarani, B. Liquet, and Y. Nazarathy, “Estimation of semi-Markov multi-state models: a comparison of the sojourn times and transition intensities approaches,” Int. J. Biostat., vol. 18, no. 1, pp. 243–262, 2022, doi: doi:10.1515/ijb-2020-0083.
L. Care, “HHS Public Access,” vol. 13, no. 1, pp. 117–125, 2018, doi: 10.1016/j.jsmc.2017.09.011.Sleep.
Riset Kesehatan Dasar, “Laporan_Nasional_RKD2018_FINAL.pdf,” Badan Penelitian dan Pengembangan Kesehatan. pp. 221–222, 2018. [Online]. Available: http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf
Khariri and L. Andriani, “Dominasi Penyakit Tidak Menular dan Pola Makan Yang Tidak Sehat,” Pros Sem Nas Masy Biodiv Indon, vol. 6, no. 1, pp. 624–627, 2020, doi: 10.13057/psnmbi/m060127.
Leman Daniel Sihombing, “Implementasi Metode Interpolasi Csrbf Untuk Proses Haze Removal Pada Citra Pengindraan Jauh,” J. Pelita Inform., vol. 8, no. 3, pp. 393–396, 2020, [Online]. Available: https://ejurnal.stmik-budidarma.ac.id/index.php/pelita/article/view/2429
A. Susanto and Meiryani, “Functions, processes, stages and application of data mining,” Int. J. Sci. Technol. Res., vol. 8, no. 7, pp. 136–140, 2019.
G. Soutinho and L. Meira-Machado, “Estimation of the transition probabilities in multi-state survival data: New developments and practical recommendations,” WSEAS Trans. Math., vol. 19, pp. 353–366, 2020, doi: 10.37394/23206.2020.19.36.
J. Li, “A multi-state model for pricing critical illness insurance products,” 2019.
S. Haberman and E. Pitacco, Actuarial Models for Disability Insurance. 2018. doi: 10.1201/9781315136622.
C. P. Gumauti, Y. Wilandari, and R. Rahmawati, “No Title,” J. Gaussian; Vol 5, No 2 J. Gaussian, 2016, doi: 10.14710/j.gauss.v5i2.11848.
Statistik Indonesia 2019, “Ht Tp S : // W W W . B . G,” Stat. Indones. 2019 (Indonesian Stat., p. Jakarta: Badan Pusat Statistik, 2019.
I. A. Conference, “Indonesian mortality table iv,” no. October, 2019.
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