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Modélisation des déterminants de la mortalité des enfants et pauvreté aux Comores

Based on the demographic and health survey of the Comoros of 1996, the analysis of the determinants of child mortality arrives to three conclusions. Firstly, several parameters influence the fruitfulness of modeling the child health. On the one hand, differentiated analytical options – approaches of the survival and mortality rates having, respectively, the child and the woman as unity of analysis –, generates partially convergent results and apprehend different dimensions of child mortality. In addition, the choice of econometric models seems more important for the approach of the mortality rates than with regard to the analysis ofsurvival. With censured data, the Tobit model produces better results compared with linear orProbit models. Secondly, the analysis in principal component can constitute an adequateprocedure to build an indicator of the long_term households wealth, from informations about theassets of the households. In this respect, the study shows that the low standard of living ofthe households in terms of assets is associated with a high child mortality.Thirdly, thedeterminants of the infant and child mortality are relatively comparable. On the one hand, somecommon factors to both analytical options affect negatively the child health: (i) geographicallocalization in the rural zones and/or the islands of Anjouan and Mohéli; (ii) the low standard of living of the households in terms of assets; (iii) some community elements, in particularmorbidity, the insufficiency of vaccination and the absence of childbirth assisted by qualifiedpersons. On the other hand, characteristics of the mothers and births have an impact on theinfant and child mortality : (i) the early age of the mothers during the birth of the childrenreduces the survival of the latter; (i) the risk of death is more important for the boys thanfor the girls; (iii) low length intergenesic interval compared to the preceding birth, multiplebirths and the high rank of the births decrease the probability of reaching 1st or the 5thanniversary. Besides, according to the mortality ratio approach, the age of the mothers andtheir low level of education influence positively the rate of child mortality. But this lasteffect is not significant any more in terms of survival(Full text in French).

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Paper provided by Groupe d'Economie du Développement de l'Université Montesquieu Bordeaux IV in its series Documents de travail with number 53.

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Length: 32 pages
Date of creation: Jan 2001
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Handle: RePEc:mon:ceddtr:53
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  1. John Mackinnon, 1995. "Health as an information good: the determinants of child nutrition and mortality during political and economic recovery in Uganda," CSAE Working Paper Series 1995-09, Centre for the Study of African Economies, University of Oxford.
  2. Cameron, L. & Mellington, N., 1999. "Female Education and Child Mortality in Indonesia," Department of Economics - Working Papers Series 693, The University of Melbourne.
  3. Harvey, A C, 1976. "Estimating Regression Models with Multiplicative Heteroscedasticity," Econometrica, Econometric Society, vol. 44(3), pages 461-65, May.
  4. Ray, R., 1998. "Child Health and its Determinants in Developing Countries: a Cross CountryComparison," Papers 1998-02, Tasmania - Department of Economics.
  5. Schultz, T. Paul, 1997. "Assessing the productive benefits of nutrition and health: An integrated human capital approach," Journal of Econometrics, Elsevier, vol. 77(1), pages 141-158, March.
  6. Caterina Ruggeri Laderchi, 1997. "Poverty and its many dimensions: The role of income as an indicator," Oxford Development Studies, Taylor & Francis Journals, vol. 25(3), pages 345-360.
  7. Guilkey, David K. & Riphahn, Regina T., 1998. "The determinants of child mortality in the Philippines: estimation of a structural model," Journal of Development Economics, Elsevier, vol. 56(2), pages 281-305, August.
  8. Lee, Lung-fei & Rosenzweig, Mark R. & Pitt, Mark M., 1997. "The effects of improved nutrition, sanitation, and water quality on child health in high-mortality populations," Journal of Econometrics, Elsevier, vol. 77(1), pages 209-235, March.
  9. Barrera, Albino, 1990. "The role of maternal schooling and its interaction with public health programs in child health production," Journal of Development Economics, Elsevier, vol. 32(1), pages 69-91, January.
  10. Kanbur, Ravi & Squire, Lyn, 1999. "The Evolution of Thinking About Poverty: Exploring the Interactions," Working Papers 127697, Cornell University, Department of Applied Economics and Management.
  11. Jean-Pierre Lachaud, 1998. "Gains féminins, allocation des biens et statut nutritionnel des enfants au Burkina Faso," Documents de travail 28, Groupe d'Economie du Développement de l'Université Montesquieu Bordeaux IV.
  12. Aly, Hassan Y. & Grabowski, Richard, 1990. "Education and child mortality in Egypt," World Development, Elsevier, vol. 18(5), pages 733-742, May.
  13. Thomas, Duncan & Strauss, John & Henriques, Maria-Helena, 1990. "Child survival, height for age and household characteristics in Brazil," Journal of Development Economics, Elsevier, vol. 33(2), pages 197-234, October.
  14. Filmer, Deon & Pritchett, Lant, 1998. "The effect of household wealth on educational attainment : demographic and health survey evidence," Policy Research Working Paper Series 1980, The World Bank.
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