Poverty in Tunisia: A Fuzzy Measurement Approach
Besma Belhadj and
Mohamed Salah Matoussi
Swiss Journal of Economics and Statistics (SJES), 2010, vol. 146, issue II, 431-450
Abstract:
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.
Keywords: fuzzy sets; poverty; poverty line; membership function; information function (search for similar items in EconPapers)
JEL-codes: D81 I32 P46 (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sjes.ch/papers/2010-II-1.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ses:arsjes:2010-ii-1
Access Statistics for this article
Swiss Journal of Economics and Statistics (SJES) is currently edited by Marius Brülhart
More articles in Swiss Journal of Economics and Statistics (SJES) from Swiss Society of Economics and Statistics (SSES) Contact information at EDIRC.
Bibliographic data for series maintained by Kurt Schmidheiny ().