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Innovations in Health Care Financing: New Evidence on the Prospect of Community Health Insurance Schemes in the Rural Areas of Ethiopia

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Author Info

  • Abay Asfaw

    ()

  • Joachim Braun

    ()

Abstract

It has become clear that due to market failure, state failure, and other reasons, the conventional sources of finance alone could not solve the health problem of the rural population, particularly that of the socially excluded and disadvantaged groups. Community Based Health Insurance Schemes (CBHIS) are one of the most recently mentioned options to narrow the existing inequalities in access to basic health services. This study assesses the prospect of CBHIS in the rural areas of Ethiopia using a double bounded dichotomous contingent valuation method. The results show that even in one of the poorest countries of the world, there is a promising prospect to introduce CBHIS. Copyright Springer Science + Business Media, Inc. 2005

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Bibliographic Info

Article provided by Springer in its journal International Journal of Health Care Finance and Economics.

Volume (Year): 5 (2005)
Issue (Month): 3 (September)
Pages: 241-253

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Handle: RePEc:kap:ijhcfe:v:5:y:2005:i:3:p:241-253

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Web page: http://www.springerlink.com/link.asp?id=106603

Related research

Keywords: contingent valuation; double bounded dichotomous choice format; community health insurance schemes; health care financing; willingness to pay; rural Ethiopia;

References

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  1. Mark Yuying An & Roberto Ayala, 1996. "A Mixture Model of Willingness to Pay Distributions," Econometrics 9611002, EconWPA.
  2. Hanemann, W. Michael, 1985. "Some Issues In Continuous - And Discrete - Response Contingent Valuation Studies," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 14(1), April.
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  4. Kloos, Helmut & Etea, Alemayehu & Degefa, Assefa & Aga, Hundessa & Solomon, Berhanu & Abera, Kabede & Abegaz, Abebe & Belemo, Geto, 1987. "Illness and health behaviour in Addis Ababa and rural central Ethiopia," Social Science & Medicine, Elsevier, vol. 25(9), pages 1003-1019, January.
  5. Jens Ludwig & Philip J. Cook, 1999. "The Benefits of Reducing Gun Violence: Evidence from Contingent-Valuation Survey Data," NBER Working Papers 7166, National Bureau of Economic Research, Inc.
  6. Johannesson, Magnus & Johansson, Per-Olov & Kristrom, Bengt & Gerdtham, Ulf-G., 1993. "Willingness to pay for antihypertensive therapy -- further results," Journal of Health Economics, Elsevier, vol. 12(1), pages 95-108, April.
  7. Cameron, Trudy Ann & Quiggin, John, 1998. "Estimation Using Contingent Valuation Data from a "Dichotomous Choice with Follow-Up" Questionnaire: Reply," Journal of Environmental Economics and Management, Elsevier, vol. 35(2), pages 195-199, March.
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  9. Nyquist, Hans, 1992. "Optimal Designs of Discrete Response Experiments in Contingent Valuation Studies," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 559-63, August.
  10. Klose, Thomas, 1999. "The contingent valuation method in health care," Health Policy, Elsevier, vol. 47(2), pages 97-123, May.
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Cited by:
  1. Marwa Farag & A. NandaKumar & Stanley Wallack & Dominic Hodgkin & Gary Gaumer & Can Erbil, 2012. "The income elasticity of health care spending in developing and developed countries," International Journal of Health Care Finance and Economics, Springer, vol. 12(2), pages 145-162, June.
  2. Johnson, Hillary & El Mekkaoui de Freitas, Najat, 2013. "Formal and Informal Social Protection in Iraq," Economics Papers from University Paris Dauphine 123456789/13208, Paris Dauphine University.
  3. Watson, Verity & Ryan, Mandy, 2007. "Exploring preference anomalies in double bounded contingent valuation," Journal of Health Economics, Elsevier, vol. 26(3), pages 463-482, May.

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