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An Analysis Of Life Insurance Demand Determinants For Selected Asian Economies And India

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  • Subir Sen

    (Madras School of Economics)

Abstract

During the post-1990 period, services sector in most of the Asian economies witnessed growth fuelled by substantial changes in the financial sector of these economies. The insurance industry, in most of the Asian economies, ASEAN and SAARC economies in particular, was publicly owned and remained isolated from participation of either domestic private insurers or foreign insurers or participation of both. But, regulatory reforms and policy changes in the ASEAN economies during the post-financial crisis period and the process of economic liberalization in some of the SAARC countries and China led to phenomenal changes in the growth pattern of the insurance industry in these economies. This study is divided into two parts: the first part is focused on four SAARC countries, two countries from Greater China Region and six ASEAN countries for the 11-year period (1994-2004) to understand economic and other socio-political variables, which may play a significant role in explaining the life insurance consumption pattern in these economies. Secondly, an independent exercise is undertaken to re-assess whether or not the variables best explaining life insurance consumption pattern for twelve selected Asian economies in the panel are significant for India for the period 1965 to 2004. Some variables were strongly capable of determining life insurance demand in both the analytical parts. However, we also observed contradictions to earlier studies.

Suggested Citation

  • Subir Sen, 2008. "An Analysis Of Life Insurance Demand Determinants For Selected Asian Economies And India," Working Papers 2008-036, Madras School of Economics,Chennai,India.
  • Handle: RePEc:mad:wpaper:2008-036
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    2. Akhter, Waheed & Pappas, Vasileios & Khan, Saad Ullah, 2017. "A comparison of Islamic and conventional insurance demand: Worldwide evidence during the Global Financial Crisis," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1401-1412.
    3. Azitadoly Mohd Arifin & Abdul Aziz Jusoh & Azlul Kalilah Zaghlol, 2023. "A Cointegration Study of Life Insurance Demand in Malaysia," Information Management and Business Review, AMH International, vol. 15(1), pages 210-215.
    4. J. François Outreville, 2011. "The relationship between insurance growth and economic development - 80 empirical papers for a review of the literature," ICER Working Papers 12-2011, ICER - International Centre for Economic Research.
    5. Markéta Arltová & Tomáš Kábrt, 2018. "Hlavní determinanty ovlivňující poptávku po životním pojištění v České republice [Analysis of Determinants, Influencing Life Insurance Demand in the Czech Republic]," Politická ekonomie, Prague University of Economics and Business, vol. 2018(3), pages 344-365.
    6. Martin Ertl, 2017. "Insurance Convergence and Post-crisis Dynamics in Central and Eastern Europe," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 42(2), pages 323-347, April.
    7. J. François Outreville, 2013. "The Relationship Between Insurance and Economic Development: 85 Empirical Papers for a Review of the Literature," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 16(1), pages 71-122, March.
    8. Mmakgabo Pinkie Segodi & Athenia Bongani Sibindi, 2022. "Determinants of Life Insurance Demand: Empirical Evidence from BRICS Countries," Risks, MDPI, vol. 10(4), pages 1-14, April.
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    More about this item

    Keywords

    Life Insurance; Insurance Demand; Panel Estimation; Time Series Analysis.;
    All these keywords.

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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