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Pauvreté monétaire versus non-monétaire au Burundi

Author

Listed:
  • Jean-Claude Nsabimana
  • Nicolas Ndayishimiye
  • Christian Kwidera
  • Aurélien Beko

Abstract

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.

Suggested Citation

  • Jean-Claude Nsabimana & Nicolas Ndayishimiye & Christian Kwidera & Aurélien Beko, 2013. "Pauvreté monétaire versus non-monétaire au Burundi," Working Papers PMMA 2013-11, PEP-PMMA.
  • Handle: RePEc:lvl:pmmacr:2013-11
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    References listed on IDEAS

    as
    1. Mohamed Ayadi & AbdelRahmen El Lahga & Naouel Chtioui, 2007. "Pauvreté et inégalités en Tunisie: une approche non monétaire," Working Papers PMMA 2007-05, PEP-PMMA.
    2. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    3. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    4. Martin Ravallion, 2011. "On multidimensional indices of poverty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(2), pages 235-248, June.
    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. Ravallion, M., 1992. "Poverty Comparisons - A Guide to Concepts and Methods," Papers 88, World Bank - Living Standards Measurement.
    7. Jean-Yves Duclos & David Sahn & Stephen D. Younger, 2006. "Robust Multidimensional Poverty Comparisons with Discrete Indicators of Well-being," Cahiers de recherche 0628, CIRPEE.
    8. 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.
    9. Maasoumi, Esfandiar, 1986. "The Measurement and Decomposition of Multi-dimensional Inequality," Econometrica, Econometric Society, vol. 54(4), pages 991-997, July.
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    More about this item

    Keywords

    pauvreté; Echelle d’équivalence; approche multidimensionnelle; seuil; Modèle logistique; déterminants de la pauvreté;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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