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Poverty in Tunisia: A Fuzzy Measurement Approach

  • Besma Belhadj
  • Mohamed Salah Matoussi
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    Although poverty is widely recognised as a multidimensional phenomenon, we still believe that monetary aspect has a fundamental role and therefore deserves a special treatment. For this reason we propose an individual unidimensional measure according to a fuzzy approach that, unlike conventional methods, is consistent with the vague nature of poverty and preserves all the available statistical information. Referred to the overall population, we use an Information Theory approach to design unidimensional fuzzy collective index. The methodology proposed here is illustrated by means of the Tunisia case.

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    Article provided by Swiss Society of Economics and Statistics (SSES) in its journal Swiss Journal of Economics and Statistics.

    Volume (Year): 146 (2010)
    Issue (Month): II (June)
    Pages: 431-450

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    Handle: RePEc:ses:arsjes:2010-ii-1
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    1. Harold W. Watts, 1967. "The ISO-Prop Index: An Approach to the Determination of Differential Poverty Income Thresholds," Journal of Human Resources, University of Wisconsin Press, vol. 2(1), pages 3-18.
    2. François Bourguignon & Satya Chakravarty, 2003. "The Measurement of Multidimensional Poverty," Journal of Economic Inequality, Springer, vol. 1(1), pages 25-49, April.
    3. Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-31, March.
    4. Zheng, Buhong, 1997. " Aggregate Poverty Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 11(2), pages 123-62, June.
    5. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
    6. Berenger, Valerie & Verdier-Chouchane, Audrey, 2007. "Multidimensional Measures of Well-Being: Standard of Living and Quality of Life Across Countries," World Development, Elsevier, vol. 35(7), pages 1259-1276, July.
    7. Gianni Betti & Bruno Cheli & Riccardo Cambini, 2004. "A statistical model for the dynamics between two fuzzy states: theory and an application to poverty analysis," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 391-411.
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