Fuzzy Set Approach to Multidimensional Poverty Measurement (Hardcover, 2006 ed.)

Recent theoretical and empirical studies have concluded that in order to be accurate, poverty and deprivation must be measured within a multidimensional framework that is consistent, efficient, and statistically robust. The fuzzy sets approach to poverty measurement was developed in the early 1990s and continues to be refined by scholars of economics and sociology who find the traditional monetary-only indicators to be inadequate and arbitrary. This volume brings together advanced thinking on the multidimensional measurement of poverty, including the theoretical background, applications to cross-sections using contemporary European examples, and longitudinal aspects of multidimensional fuzzy poverty analysis that pay particular attention to the transitory, or impermanent, conditions that often occur during transitions to market economies.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Economic Studies in Inequality, Social Exclusion and Well-Being, 3
Release date:	September 2006
First published:	2006
Editors:	Achille A. Lemmi • Gianni Betti
Dimensions:	235 x 156 x 17mm (L x W x T)
Format:	Hardcover
Pages:	280
Edition:	2006 ed.
ISBN-13:	978-0-387-34249-8
Categories:	Books > Social sciences > Sociology, social studies > Social issues > Poverty Books > Social sciences > Sociology, social studies > Social issues > Unemployment Promotions
LSN:	0-387-34249-4
Barcode:	9780387342498

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