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Pauvreté monétaire versus non-monétaire au Burundi

  • Jean-Claude Nsabimana
  • Nicolas Ndayishimiye
  • Christian Kwidera
  • Aurélien Beko
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    L’objectif général de l’étude est d’analyser la situation de la pauvreté au Burundi. Pour ce faire, trois objectifs spécifiques sont considérés : évaluer la pauvreté monétaire à l’aide d’une échelle d’équivalence ; construire un indicateur composite de la pauvreté basé sur l’approche multidimensionnelle ; et enfin identifier les principaux déterminants de la pauvreté. L’estimation du modèle d’Engel a permis de dégager trois échelles associées à trois tranches d’âges qui se sont révélées significatives. Il convient dès lors d’utiliser ces coefficients dans les études sur les conditions de vie au Burundi. Nos résultats montrent une sensibilité des mesures de pauvreté selon notre échelle empirique, si l’on ne tient pas compte des échelles. L’application de la méthode de l’analyse des correspondances multiples évalue la prévalence de la pauvreté multidimensionnelle à 70%, c’est à dire légèrement au-dessus de la prévalence de la pauvreté monétaire, évaluée à 69% selon le modèle empirique. Le caractère rural de la pauvreté a été mis en exergue par l’utilisation des approches monétaires et non monétaires. De plus, les tests de dominance stochastique révèlent que le sud et le nord sont les régions les plus touchées par le phénomène de pauvreté. L’utilisation du modèle Probit et Biprobit a permis de mettre en exergue les caractéristiques sociodémographiques qui contribuent le plus à la probabilité d’être pauvre. Des recommandations de politiques de lutte contre la pauvreté sont formulées à partir des résultats de l’étude.

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    Paper provided by PEP-PMMA in its series Working Papers PMMA with number 2013-11.

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    Date of creation: 2013
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    Handle: RePEc:lvl:pmmacr:2013-11
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    1. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7), pages 476-487.
    2. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
    3. Jenkins, Stephen P & Cowell, Frank A, 1994. "Parametric Equivalence Scales and Scale Relativities," Economic Journal, Royal Economic Society, vol. 104(425), pages 891-900, July.
    4. Mohamed Ayadi & AbdelRahmen El Lahga & Naouel Chtioui, 2007. "Pauvreté et inégalités en Tunisie: une approche non monétaire," Working Papers PMMA 2007-05, PEP-PMMA.
    5. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    6. Jean-Yves Duclos & David Sahn & Stephen D. Younger, 2006. "Robust Multidimensional Poverty Comparisons with Discrete Indicators of Well-being," Cahiers de recherche 0628, CIRPEE.
    7. Ravallion, Martin, 2011. "On multidimensional indices of poverty," Policy Research Working Paper Series 5580, The World Bank.
    8. Ravallion, M., 1992. "Poverty Comparisons - A Guide to Concepts and Methods," Papers 88, World Bank - Living Standards Measurement.
    9. Maasoumi, Esfandiar, 1986. "The Measurement and Decomposition of Multi-dimensional Inequality," Econometrica, Econometric Society, vol. 54(4), pages 991-97, July.
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