Lemmi / Betti Fuzzy Set Approach to Multidimensional Poverty Measurement

2006
ISBN: 978-0-387-34251-1
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 3, 285 Seiten, eBook

Reihe: Economic Inequality and Poverty

This volume brings together advanced thinking on the multidimensional measurement of poverty. This includes 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. The research is up-to-date and international.

Zielgruppe

Research

Autoren/Hrsg.

Lemmi, Achille

Betti, Gianni

Lemmi, Achille A.

Inhaltsverzeichnis

Philosophical Accounts of Vagueness, Fuzzy Poverty Measures and Multidimensionality.- The Mathematical Framework of Fuzzy Logic.- An Axiomatic Approach to Multidimensional Poverty Measurement via Fuzzy Sets.- On the Convergence of Various Unidimensional Approaches.- Capability Approach and Fuzzy Set Theory: Description, Aggregation and Inference Issues.- Multidimensional and Longitudinal Poverty: an Integrated Fuzzy Approach.- French Poverty Measures using Fuzzy Set Approaches.- The “Fuzzy Set” Approach to Multidimensional Poverty Analysis: Using the Shapley Decomposition to Analyze the Determinants of Poverty in Israel.- Multidimensional Fuzzy Set Approach Poverty Estimates in Romania.- Multidimensional and Fuzzy Poverty in Switzerland.- A Comparison of Poverty According to Primary Goods, Capabilities and Outcomes. Evidence from French School Leavers’ Surveys.- Multidimensional Fuzzy Relative Poverty Dynamic Measures in Poland.- Modelling Fuzzy and Multidimensional Poverty Measures in the United Kingdom with Variance Components Panel Regression.

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Über Autor(innen)

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.