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Poverty in Tunisia: A Fuzzy measurement approach

Swiss Journal of Economics and Statistics volume 146, pages 431–450 (2010)Cite this article

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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Authors and Affiliations

  1. Higher Institute of Management, University of Tunisia, USA

    Besma Belhadj

  2. University of Economics, University of Tunisia, USA

    Mohamed Salah Matoussi

Authors
  1. Besma Belhadj
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  2. Mohamed Salah Matoussi
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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

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