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Factoring affecting the Demand for Health Insurance in a Micro Insurance Scheme

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  • Jain Nishant
  • Bhat Ramesh

Abstract

Health insurance schemes are increasingly recognised as preferable mechanisms to finance health care provision. In this direction micro health insurance schemes and community based health insurance schemes are assuming significant importance in reaching large number of people. However, at the community level despite low premiums the penetration of health insurance is small. The objective of this paper is to analyse factors determining the demand for private health insurance in a micro insurance scheme setting. The study uses two-stage model to examine this issue. First, we determine the factors which affect the insurance purchase decisions and at second level we focus on studying factors which affect the amount of insurance purchase using Heckman two-stage estimation procedure. The data of this study is based on survey and collection of primary data from the Anand district of Gujarat where Charotar Arogya Mandal is offering a health insurance scheme. The results indicate that income and healthcare expenditure are significant determinants of health insurance purchase. Age, coverage of illnesses and knowledge about insurance were also found to be affecting health insurance purchase decision positively. For the decision regarding amount of health insurance purchase, income was found to be having significant but non-linear relationship. In addition, number of children in the family, age, and perception regarding future healthcare expenditure were also found to be significant. The study discusses implications of these results.

Suggested Citation

  • Jain Nishant & Bhat Ramesh, 2006. "Factoring affecting the Demand for Health Insurance in a Micro Insurance Scheme," IIMA Working Papers WP2006-07-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
  • Handle: RePEc:iim:iimawp:wp01965
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    Cited by:

    1. Mirko Bendig & Thankom Arun, 2011. "Microfinancial Services And Risk Management: Evidences From Sri Lanka," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 36(4), pages 97-126, December.
    2. Arun, Thankom & Bendig, Mirko & Arun, Shoba, 2012. "Bequest Motives and Determinants of Micro Life Insurance in Sri Lanka," World Development, Elsevier, vol. 40(8), pages 1700-1711.
    3. Panda, P. & Chakraborty, A. & Dror, D.M. & Bedi, A.S., 2013. "Enrollment in community based health insurance schemes in rural Bihar and Uttar Pradesh, India," ISS Working Papers - General Series 555, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    4. Anindita Chakrabarti & Anand Shankar, 2015. "Determinants of Health Insurance Penetration in India: An Empirical Analysis," Oxford Development Studies, Taylor & Francis Journals, vol. 43(3), pages 379-401, September.
    5. repec:hur:ijarbs:v:7:y:2017:i:7:p:232-259 is not listed on IDEAS
    6. Bhat Ramesh & Jain Nishant, 2007. "A Study of Factors Affecting the Renewal of Health Insurance Policy," IIMA Working Papers WP2007-01-02, Indian Institute of Management Ahmedabad, Research and Publication Department.

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