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Factors Shaping Consumers Intention in Purchasing Life Insurance Policy in Bangladesh: A Binary Logistic Analysis

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  • Golam Ramij

Abstract

This paper investigates the demographic and socio-economic influential factors that work as a motivational tool for purchasing life insurance policies by the eligible consumers of Bangladesh. Using convenience sampling technique, responses of three hundred seventy-eight persons have been analyzed using this study's binary logistic regression model. This study found that demographic variables like age, education, and gender have no significant impact on life insurance policy buying decisions. On the contrary, the number of dependents in a family, nature of work, and monthly income positively impact the policy purchase decision. This study also reveals that insurance literacy has a positive influence, but acquired information about insurance policy negatively impacts consumers' purchasing decisions. In addition to that, the study's findings also show that people usually purchase a life insurance policy for tax benefit purposes instead of investment purposes. The outcomes of the study will be helpful to the insurers and policymakers to find out the major areas of improvement to bring more people under life insurance coverage, and for prospective consumers, it will guide them to understand the benefits of having a life insurance policy. JEL classification numbers: C83, C93, H55, I13.

Suggested Citation

  • Golam Ramij, 2021. "Factors Shaping Consumers Intention in Purchasing Life Insurance Policy in Bangladesh: A Binary Logistic Analysis," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(6), pages 1-2.
  • Handle: RePEc:spt:apfiba:v:11:y:2021:i:6:f:11_6_2
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    References listed on IDEAS

    as
    1. Lewis, Frank D, 1989. "Dependents and the Demand for Life Insurance," American Economic Review, American Economic Association, vol. 79(3), pages 452-467, June.
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    More about this item

    Keywords

    Life insurance; Logistic model; Forecasting; Tax benefits; Agent.;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

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