A Cointegration Study of Life Insurance Demand in Malaysia
Abstract
The expansion of the insurance sector has a profound effect on a country's economy. Insurance companies experienced a slowdown in premiums during the COVID-19 pandemic, particularly in the life sector. Due to consumers' discretionary decision to spend less on life insurance policies, premium volumes decreased globally. One way to provide income protection for dependents or beneficiaries upon the death of an insured person, total permanent disability, or policy contract maturity is through life insurance. This study, therefore, this study considers recent events as it examines the factors that influence the demand for life insurance in Malaysia. The ordinary least square (OLS) method is employed using 34 years of data spanning from 1988 until 2021. The result of VECM showed that Income positively affects demand in the long run, while the other two variables, savings, and unemployment negatively affect demand in the long run. The empirical findings are expected to enrich the existing literature and to create awareness of the benefits that life insurance may offer in potential risks transferred to the insurer. Furthermore, the research findings could also help policymakers create preventative measures to protect life insurance companies from the consequences of diminished market confidence in the slowdown of the business cycle.
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References
Anantakarn, K., Sornchomkaew, P. & Phothong, T. (2019). Improve Quality of Global DEM for Topographic Mapping: Case Study of Petchaburi Province, Thailand. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 10(9), 10A09H, 1-9.
Beck, T. & Webb, I. M. (2002). Determinants of life insurance consumption across countries (No. 2792). World Bank Publications.
BNM. (2022). Quarterly Bulletin, Second Quarter 2022, Bank Negara Malaysia.
Chang, D. H. (1995). Economic analysis of the development of universal life insurance in the 1980s.
Emamgholipour, S., Arab, M. & Mohajerzadeh, Z. (2017). Life insurance demand: Middle East and North Africa. International Journal of Social Economics, 44(4), 521-529.
Fadun, O. S. (2013). Insurance, A risk transfer mechanism: An examination of the Nigerian banking industry. IOSR Journal of Business and Management, 7(4), 93-101.
Gandolfi, A. S. & Miners, L. (1996). Gender-based differences in life insurance ownership. Journal of Risk and Insurance, 683-693.
Granger, C. W. (1988). Some recent development in the concept of causality. Journal of Econometrics, 39(1-2), 199-211.
Granger, C. W. (1988). Some recent development in the concept of causality. Journal of Econometrics, 39(1-2), 199-211.
Headen, R. S. & Lee, J. F. (1974). Life Insurance Demand and Household Portfolio Behavior. Journal of Risk and Insurance, 41(4), 685-698
Johansen, S. & Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration—with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52(2), 169-210.
Ibiwoye, A., Ideji, J. O. & Oke, B. O. (2010). The Determinants of Life Insurance Consumption in Nigeria: A Co-Intergration approach. International journal of academic research, 2(4).
Liebenberg, A. P., Carson, J. M. & Dumm, R. E. (2012). A dynamic analysis of the demand for life insurance. Journal of Risk and Insurance, 79(3), 619-644.
Mathew, B. & Sivaraman, S. (2017). Cointegration and causality between macroeconomic variables and life insurance demand in India. International Journal of Emerging Markets.
Nayak, P. (2008). Vibration Analysis of Woven Fiber Glass / Epoxy Composite Plates Vibration Analysis of Woven Fiber Glass / Epoxy Composite Plates. Master Thesis, Technology in Civil Engineering, National Institute of Technology, Rourkela.
Noor, N. N. M., Zain, Z. M., Ma’in, M. & Atory, N. A. A. (2020). A Cointegration Analysis of the Demand for Life Insurance in Malaysia. International Journal of Advanced Research in Economics and Finance, 2(1), 48-60.
Rosilawati, A., Shaari, A. H. & Ismadi, I. (2007). The Dynamic Causal Between Financial Development and Economic Growth: Empirical Evidence From Malaysia Based On Vector Error Correction Modeling Approach. Labuan Bulletin of International Business & Finance, 5, 23-39.
Sen, S. (2008). An Analysis of Life Insurance Demand Determinants for Selected Asian Economies and India. Working Paper, 36, 1-44.
Showers, V. E. & Shotick, J. A. (1994). The effects of household characteristics on demand for insurance: A Tobit analysis. Journal of Risk and Insurance, 492-502.
Sliwinski, A., Michalski, T. & Roszkiewicz, M. (2013). Demand for life insurance-An empirical analysis in the case of Poland. The Geneva Papers on Risk and Insurance-Issues and Practice, 38, 62-87.
Stachowiak, G. & Batchelor, A. W. (2013). Engineering Tribology. Butterworth-Heinemann.
Surminski, S. (2013). The Role of insurance risk transfer in encouraging climate investment in developing countries
Thiandee, P., Witchayangkoon, B., Sirimontree, S. & Lertworawanich. (2019). An Experiment on Measurement of Pavement Roughness via Android-based Smartphones. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 10(9), 10A09G, 1-9.
Zahid, R., Masjuki, H., Varman, M., Mufti, R., Kalam, M. A., Gulzar, M. & Yunus, R. (2015). Comparison of tribological performance of zinc dialkyl dithiophosphate (ZDDP) in poly-alpha-olefin (PAO) and palm oil-based 000trimethylolpropane (TMP) ester. In Proceedings of Malaysian International Tribology Conference, 201-202.
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