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Fuzzy Set Approach to Multidimensional Poverty Measurement
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Fuzzy Set Approach to Multidimensional Poverty Measurement

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Description

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. This book will be of interest to scholars and researchers and will be a useful text on poverty for advanced students in applied statistics, urban planning, economics, and sociology.

Author Biography:

Achille Lemmi is Professor of Economic Statistics at the University of Siena. His areas of interest and research include personal income distribution models, poverty and living conditions estimation and analysis, and poverty dynamics. Gianni Betti is Associate Professor of Economic Statistics at the University of Siena. His areas of interest and research include poverty and living conditions analysis, equivalence scales, small area estimation and poverty mapping.
Release date NZ
November 19th, 2010
Audience
  • Professional & Vocational
Contributors
  • Edited by Achille A. Lemmi
  • Edited by Gianni Betti
Edition
Softcover reprint of hardcover 1st ed. 2006
Illustrations
XVI, 280 p.
Pages
280
Dimensions
156x234x15
ISBN-13
9781441941718
Product ID
8961416

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