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Poverty in Tunisia: A Fuzzy measurement approach

Summary

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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The researchers wish to thank the anonymous reviewers for their comments and reviews including all the important points raised.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Belhadj, B., Matoussi, M.S. Poverty in Tunisia: A Fuzzy measurement approach. Swiss J Economics Statistics 146, 431–450 (2010). https://doi.org/10.1007/BF03399322

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  • DOI: https://doi.org/10.1007/BF03399322

JEL-Classification

  • P46
  • I32
  • D81

Keywords

  • fuzzy sets
  • poverty
  • poverty line
  • membership function
  • information function