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Fuzzy Set Approach to Multidimensional Poverty Measurement

  • Editors
  • Achille Lemmi
  • Gianni Betti

Part of the Economic Studies in Inequality, Social Exclusion and Well-Being book series (EIAP, volume 3)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Achille Lemmi, Gianni Betti
    Pages 1-7
  3. Bernard Fustier
    Pages 29-47
  4. Gianni Betti, Bruno Cheli, Achille Lemmi, Vijay Verma
    Pages 115-137
  5. Valérie Berenger, Franck Celestini
    Pages 139-154
  6. Maria Molnar, Filofteia Panduru, Andreea Vasile, Viorica Duma
    Pages 175-194
  7. Back Matter
    Pages 277-279

About this book

Introduction

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 set 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.

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.

Keywords

Fuzzy Set Approach Income Distribution Measurement Nation Poverty Variance statistics

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-34251-1
  • Copyright Information Springer Science+Business Media, LLC 2006
  • Publisher Name Springer, Boston, MA
  • eBook Packages Business and Economics
  • Print ISBN 978-0-387-34249-8
  • Online ISBN 978-0-387-34251-1
  • Buy this book on publisher's site