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Compensating The Poor Out Of Traditional Healing In Cameroon: A Nested Logit Analysis

Author

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  • KAMGNIA, Dia B.

Abstract

The current paper sought to (i) identify the determinants of the choice of health care providers in Cameroon, and (ii) determine the compensation to the poor to get them away from traditional/self healing. The core is a nested Logit model, accounting for the poor’s decision in terms of a Spline function of consumption. Overall, the majority of the determinants had the expected sign with a significant effect. The compensation to the poor is at least 46.20% of the lower poverty line, while the intermediate group receives a compensation of at least 14.47% of the upper poverty line.

Suggested Citation

  • KAMGNIA, Dia B., 2007. "Compensating The Poor Out Of Traditional Healing In Cameroon: A Nested Logit Analysis," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 7(2), pages 163-170.
    • Handle: RePEc:eaa:aeinde:v:7:y:2007:i:2_14
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    File URL: http://www.usc.es/economet/reviews/aeid7214.pdf
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    Cited by:

    1. David Mhlanga & Adewale Hassan, 2022. "An investigation of the factors influencing the choice of healthcare facility in South Africa," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(4), pages 50-58, June.

    More about this item

    Keywords

    Health care providers; indirect demand; compensation; poverty; Spline function; nested Logit model;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

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