ECONOMIC AND SOCIAL FACTORS AFFECTING THE PURCHASE OF LIFE INSURANCE AMONG THAI HOUSEHOLDS

Main Article Content

Jessadaporn Yanuphrom
Sukanya Kittikhunngam
Sombat Khachayut
Patriya Srisuk
Pornnipa Kaeocha
Wanna Chounprasonk
ATIPAN VANSURIYA

Abstract

Life insurance is an important instrument for long-term financial planning and risk management, helping policyholders cope with unforeseen events that may arise in the future. This study aimed to examine the economic and social factors influencing Thai households’ decisions to purchase life insurance. The data were drawn from the 2023 Household Socioeconomic Survey conducted by the National Statistical Office, which reflects contemporary Thai household behavior. A binary logistic regression model was employed to estimate the relationship between the independent variables (household economic and social factors) and the dependent variable, the decision to purchase life insurance (1 = purchase, 0 = non-purchase). Multicollinearity was assessed, and heteroskedasticity-robust standard errors were applied to improve the reliability of the estimates.


The results indicated that households headed by males were significantly less likely to purchase life insurance than those headed by females. Compared with single household heads, those who were married and those who were widowed, divorced, or separated were significantly more likely to purchase life insurance. Household heads with a bachelor’s degree or higher were more likely to purchase life insurance than those with lower educational attainment. In addition, households with children under 15 years of age showed a higher likelihood of purchasing life insurance, whereas households with elderly members aged 60 years and above exhibited a lower likelihood. Moreover, households with higher average monthly income, greater asset values, and higher debt burdens were more likely to purchase life insurance. Finally, households residing in municipal areas were more likely to purchase life insurance than those living outside municipal areas.


Overall, the findings suggest that economic and social factors play a significant role in shaping Thai households’ life insurance purchasing decisions. Increasing awareness of the benefits of life insurance—particularly among low-income households and those with lower educational attainment—may help broaden access to life insurance products. In addition, the government and insurance companies should design products that better match the needs of different population groups to expand coverage and strengthen the long-term financial stability of Thai households.

Article Details

How to Cite
Yanuphrom, J., Kittikhunngam, S., Khachayut, S., Srisuk, P., Kaeocha, P., Chounprasonk, W., & VANSURIYA, A. (2026). ECONOMIC AND SOCIAL FACTORS AFFECTING THE PURCHASE OF LIFE INSURANCE AMONG THAI HOUSEHOLDS. JOURNAL OF MANAGEMENT SCIENCE UDON THANI RAJABHAT UNIVERSITY, 8(1), 43–56. retrieved from https://so08.tci-thaijo.org/index.php/MSJournal/article/view/3860
Section
Research Article

References

สมาคมประกันชีวิตไทย. (2566). สถิติกรมธรรม์ประกันชีวิตระหว่างปี 2560-2565. https://www.tlaa.org/page_statistics_new.php?cid=81&cname=สถิติรายปี

สิทธิพร ราชธานี. (2564). การศึกษาปัจจัยด้านงบประมาณที่ส่งผลต่อการจัดสวัสดิการสังคมสำหรับผู้สูงอายุ: กรณีศึกษาเปรียบเทียบไทย-ญี่ปุ่น. วารสารเอเชียตะวันออกและอาเซียนศึกษา, 21(2), 64–89.

อธิพันธ์ วรรณสุริยะ. (2562). การทำประกันชีวิตเพื่อเป็นมรดกกับความพอเพียงของเงินออมหลังเกษียณอายุ [วิทยานิพนธ์ปริญญาดุษฎีบัณฑิต, มหาวิทยาลัยศรีนครินทรวิโรฒ].

stock2morror. (2564). ธุรกิจประกันในไทยยังเติบโตได้อีก. https://stock2morrow.com/article/4031

Abdille, I. K., & Mbataru, P. (2019). Cash transfer and the economic well-being of persons with severe disability in Wajir County, Kenya. International Journal of Current Aspects, 3(3), 135–153. https://doi.org/10.35942/IJCAB.V3IIII.36

Ćwiek, M., & Wałęga, A. (2023). Health expenditure in households with disabled people. Wiadomości Statystyczne. The Polish Statistician, 68(1), 38–55. https://doi.org/10.5604/01.3001.0016.2362

Dash, G., & Im, J. (2018). Determinants of life insurance demand: Evidences from India. Asia Pacific Journal of Advanced Business and Social Studies, 4(2), 86–99. https://doi.org/10.25275/apjabssv4i2bus10

Duczkowski, N. (2022). Application of reduced social welfare functions for estimating household insurance expenditures in Poland. Insurance Review, (1), 75–96. https://doi.org/10.33995/wu2022.1.5

Durkin, T. A., & Elliehausen, G. (2017). New evidence on an old unanswered question: Why some borrowers purchase credit insurance and other debt protection and some do not (Finance and Economics Discussion Series 2017-122). Board of Governors of the Federal Reserve System. https://doi.org/10.17016/FEDS.2017.122

Fitch Ratings. (2022). Thailand insurance premium growth sluggish in 2021. Insurance Asia. https://insuranceasia.com/insurance/news/thailand-insurance-premium-growth-sluggish-in-2021

Gropper, M. J., & Kuhnen, C. M. (2021). Wealth and insurance choices: Evidence from US households (NBER Working Paper No. 29069). National Bureau of Economic Research. https://doi.org/10.3386/w29069

Knudson, S., & Mazurik, K. (2021). Seeking stability: A preliminary exploration of Canadian young adults’ financial goals. Journal of Youth Studies, 24(3), 285–304. https://doi.org/10.1080/13676261.2020.1716964

Lan, S. (2021). The impact of population aging on commercial insurance purchasing behavior: Evidence from China. Academic Journal of Business & Management, 3(4), 55–62. https://doi.org/10.25236/AJBM.2021.030412

McIver Insurance. (2023, November 24). The financial impact of not having life insurance. https://mciverinsurance.com/the-financial-impact-of-not-having-life-insurance/

Peñafiel, S. Q. P. (2025). Parental financial planning in the Philippines: The role of life insurance in securing family futures. International Journal For Multidisciplinary Research, 7(1). https://doi.org/10.36948/ijfmr.2025.v07i01.35224

Sawadogo, R., Guérineau, S., & Ouedraogo, I. M. (2018). Life insurance development and economic growth: Evidence from developing countries. Journal of Economic Development, 43(2), 1–28. https://doi.org/10.35866/caujed.2018.43.2.001

Shedge, M. (2023). Personal financial planning. In Futuristic trends in management (Vol. 3, Book 27, pp. 103–109). IIP Series. https://doi.org/10.58532/V3BHMA27P2CH4

Shiferaw, A. (2017). Factors affecting life insurance demand: A case study on (Ethiopian Insurance Corporation) EIC [Doctoral dissertation, St. Mary's University].

The Actuary Magazine. (2021). Insurance industry in Thailand. https://www.theactuarymagazine.org/insurance-industry-in-thailand/

United Nations Development Programme. (2024). Insurance and risk finance for Thailand: A roadmap. https://www.undp.org/sites/g/files/zskgke326/files/2025-01/irff-roadmap_en_22122024.pdf

Wu, Y. (2024). Analyzing the effect of education level on financial decision-making from the perspective of behavioral finance. Highlights in Business, Economics and Management, 40, 329–333. https://doi.org/10.54097/q22r3012