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Heterogeneous Preferences for Micro Health Insurance Attributes in Rural Cambodia: Latent Class Analysis

Author

Listed:
  • Hiroki Wakamatsu

    (Fisheries Research and Education Agency)

  • Seiichi Fukui

    (Osaka Sangyo University)

  • Kana Miwa

    (Kushiro Public University of Economics)

Abstract

This study estimates the heterogeneous preferences and willingness-to-pay (WTP) of potential clients for different attributes of micro health insurance (MHI) and to seek a more acceptable insurance scheme in rural Cambodia. A latent class model is employed to treat with heterogeneity of consumer preferences, and found a two-class model as the best model, where one of the two classes is responsive to improvement of micro health insurance scheme. In the comparison of the two classes, the second class, comprising household heads who were younger and well-educated, with more remittances from migrant family members, more assets, and facing more illness, was significantly responsive to improvement in the insurance schemes. As for present time bias, we could not find any evidence that supports the hypothesis that it negatively affects WTP for MHI. In addition, our findings suggest that potential insurance customers who would have purchased MHI accounted for more than 60% in our study area, Thus, our results can be used to support improvements in existing MHI to attract more MHI customers.

Suggested Citation

  • Hiroki Wakamatsu & Seiichi Fukui & Kana Miwa, 2019. "Heterogeneous Preferences for Micro Health Insurance Attributes in Rural Cambodia: Latent Class Analysis," Economics Bulletin, AccessEcon, vol. 39(4), pages 2963-2975.
    • Handle: RePEc:ebl:ecbull:eb-19-01020
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    References listed on IDEAS

    as
    1. Raghavan, R. & Aarons, G.A. & Roesch, S.C. & Leslie, L.K., 2008. "Longitudinal patterns of health insurance coverage among a national sample of children in the child welfare system," American Journal of Public Health, American Public Health Association, vol. 98(3), pages 478-484.
    2. Seiro ITO & Hisaki KONO, 2010. "Why Is The Take‐Up Of Microinsurance So Low? Evidence From A Health Insurance Scheme In India," The Developing Economies, Institute of Developing Economies, vol. 48(1), pages 74-101, March.
    3. Michael Clark & Domino Determann & Stavros Petrou & Domenico Moro & Esther Bekker-Grob, 2014. "Discrete Choice Experiments in Health Economics: A Review of the Literature," PharmacoEconomics, Springer, vol. 32(9), pages 883-902, September.
    4. Erik Schokkaert & Tom Van Ourti & Diana De Graeve & Ann Lecluyse & Carine Van de Voorde, 2010. "Supplemental health insurance and equality of access in Belgium," Health Economics, John Wiley & Sons, Ltd., vol. 19(4), pages 377-395, April.
    5. Vincenzo Atella & Francesco Brindisi & Partha Deb & Furio C. Rosati, 2004. "Determinants of access to physician services in Italy: a latent class seemingly unrelated probit approach," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 657-668, July.
    6. David Mark Dror, 2018. "Systematic Review of Willingness to Pay for Health Insurance in Low and Middle Income Countries," World Scientific Book Chapters, in: Financing Micro Health Insurance Theory, Methods and Evidence, chapter 8, pages 151-168, World Scientific Publishing Co. Pte. Ltd..
    7. Schechter, Laura, 2007. "Traditional trust measurement and the risk confound: An experiment in rural Paraguay," Journal of Economic Behavior & Organization, Elsevier, vol. 62(2), pages 272-292, February.
    8. Kirby, Kris N. & Godoy, Ricardo & Reyes-Garcia, Victoria & Byron, Elizabeth & Apaza, Lilian & Leonard, William & Perez, Eddy & Vadez, Vincent & Wilkie, David, 2002. "Correlates of delay-discount rates: Evidence from Tsimane' Amerindians of the Bolivian rain forest," Journal of Economic Psychology, Elsevier, vol. 23(3), pages 291-316, June.
    9. Sisira Sarma & Wayne Simpson, 2006. "A microeconometric analysis of Canadian health care utilization," Health Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 219-239, March.
    10. Maryam Bigdeli & Bart Jacobs & Chean Rithy Men & Kristine Nilsen & Wim Van Damme & Bruno Dujardin, 2016. "Access to Treatment for Diabetes and Hypertension in Rural Cambodia: Performance of Existing Social Health Protection Schemes," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-18, January.
    11. Mandy Ryan & Karen Gerard & Gillian Currie, 2012. "Using Discrete Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    12. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    13. Levine, David & Polimeni, Rachel & Ramage, Ian, 2016. "Insuring health or insuring wealth? An experimental evaluation of health insurance in rural Cambodia," Journal of Development Economics, Elsevier, vol. 119(C), pages 1-15.
    14. Stephen K. Swallow & Thomas Weaver & James J. Opaluch & Thomas S. Michelman, 1994. "Heterogeneous Preferences and Aggregation in Environmental Policy Analysis: A Landfill Siting Case," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(3), pages 431-443.
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    More about this item

    Keywords

    Consumer preference; micro health insurance; developing countries; Cambodia;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

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