Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/185956 
Year of Publication: 
2010
Citation: 
[Journal:] Swiss Journal of Economics and Statistics [ISSN:] 2235-6282 [Volume:] 146 [Issue:] 2 [Publisher:] Springer [Place:] Heidelberg [Year:] 2010 [Pages:] 431-450
Publisher: 
Springer, Heidelberg
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.
Subjects: 
fuzzy sets
poverty
poverty line
membership function
information function
JEL: 
P46
I32
D81
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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