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The Shapley value for a fuzzy poverty measurement

Author

Listed:
  • Lamia ASNAOUI

    (University of Tunis El Manar)

  • Besma BELHADJ

    (University of Carthage)

Abstract

This article studies the relationship between poverty, inequality and growth. In classical political economic model, we introduce a residual term to maintain the identity of the model. It does not permit us to find the exact contribution of each factor. To derive the results of the decomposition, the Shapley value augmented by the fuzzy approach is used. In order to take its full advantage, it is of interest to calculate the marginal contribution of each factor in the variation of poverty. An application based on individual wellbeing data from Tunisian households is presented to illustrate use of the proposed concepts.

Suggested Citation

  • Lamia ASNAOUI & Besma BELHADJ, 2015. "The Shapley value for a fuzzy poverty measurement," EuroEconomica, Danubius University of Galati, issue 1(34), pages 85-92, May.
    • Handle: RePEc:dug:journl:y:2015:i:1:p:85-92
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    File URL: http://journals.univ-danubius.ro/index.php/euroeconomica/article/view/2771/2450
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    References listed on IDEAS

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    1. Ravallion, Martin, 1997. "Can high-inequality developing countries escape absolute poverty?," Economics Letters, Elsevier, vol. 56(1), pages 51-57, September.
    2. Ali Abdel Gadir Ali & Erik Thorbecke, 2000. "The State and Path of Poverty in Sub-Saharan Africa: some Preliminary Results," Journal of African Economies, Centre for the Study of African Economies, vol. 9(Supplemen), pages 9-40.
    3. Ravallion, Martin, 2001. "Growth, Inequality and Poverty: Looking Beyond Averages," World Development, Elsevier, vol. 29(11), pages 1803-1815, November.
    4. Asma Zedini & Besma Belhadj, 2015. "A New Approach to Unidimensional Poverty Analysis: Application to the Tunisian Case," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(3), pages 465-476, September.
    5. Robert J. Barro, 1999. "Inequality, Growth, and Investment," NBER Working Papers 7038, National Bureau of Economic Research, Inc.
    6. Kakwani, Nanak, 1993. "Statistical Inference in the Measurement of Poverty," The Review of Economics and Statistics, MIT Press, vol. 75(4), pages 632-639, November.
    7. Datt, Gaurav & Ravallion, Martin, 1992. "Growth and redistribution components of changes in poverty measures : A decomposition with applications to Brazil and India in the 1980s," Journal of Development Economics, Elsevier, vol. 38(2), pages 275-295, April.
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    Cited by:

    1. Mashele RAPATSA, 2015. "Poverty: A socio-economic threat to sustainable development as envisioned by South Africa’s transformative regime," EuroEconomica, Danubius University of Galati, issue 2(34), pages 41-48, November.

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