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A New Approach to Unidimensional Poverty Analysis: Application to the Tunisian Case

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  • Asma Zedini
  • Besma Belhadj

Abstract

type="main"> Fuzzy conceptualization of privation has been a step closer to more realistic handling of poverty. However, fuzzy approaches to poverty are still grounded on parametric axioms. Moreover, construction of poverty lines within these approaches still relies on ad-hoc methods. In this paper, we advance instead a fuzzy procedure based on the non-parametric bootstrap method, allowing us to depict fuzzy unidimensional privation states with boundaries drawn spontaneously from data. Fuzzy non-parametric measures of privation within each state as well as a collective fuzzy non-parametric index of poverty are derived, along with their corresponding confidence intervals. The new approach is applied to the analysis of poverty in Tunisia in 2005.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:revinw:v:61:y:2015:i:3:p:465-476
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    References listed on IDEAS

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    9. François Bourguignon & Satya R. Chakravarty, 2019. "The Measurement of Multidimensional Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 83-107, Springer.
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    Cited by:

    1. Ahmed, Abubakari & Gasparatos, Alexandros, 2020. "Multi-dimensional energy poverty patterns around industrial crop projects in Ghana: Enhancing the energy poverty alleviation potential of rural development strategies," Energy Policy, Elsevier, vol. 137(C).
    2. Besma Belhadj & Firas Kaabi, 2020. "New membership function for poverty measure," Metroeconomica, Wiley Blackwell, vol. 71(4), pages 676-688, November.
    3. Nita Handastya & Gianni Betti, 2023. "The ‘Double Fuzzy Set’ Approach to Multidimensional Poverty Measurement: With a Focus on the Health Dimension," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(1), pages 201-217, February.
    4. Mejda Bouanani & Besma Belhadj, 2019. "Zakat and Poverty Alleviation in Tunisia Using the Fuzzy Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 421-432, June.
    5. 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.
    6. Mejdi BEKTASHI, 2015. "Protection of consumer rights and interests. Case of Kosovo," EuroEconomica, Danubius University of Galati, issue 1(34), pages 95-100, May.
    7. Mejda Bouanani & Besma Belhadj, 2020. "Does Zakat reduce poverty? Evidence from Tunisia using the Fuzzy Approach," Metroeconomica, Wiley Blackwell, vol. 71(4), pages 835-850, November.
    8. Belhadj Besma, 2016. "Inequality among the poor in poverty measure case of Tunisia (2005–2010)," OPSEARCH, Springer;Operational Research Society of India, vol. 53(2), pages 409-425, June.

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