Quantitative Approaches to Multidimensional Poverty Measurement

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ISBN: 9780230004894 | 023000489X
Cover: Hardcover
Copyright: 3/15/2008

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This is a unique book on the most important quantitative approaches to multidimensional poverty measurement, gathering in one place the various techniques of measurement, as well as offering both a simple introduction to the non-specialist reader of each quantitative approach and an illustration based on empirical applications to various countries.

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List of Tables and Figures	p. vii
Foreword	p. xii
Preface	p. xiv
List of Contributors	p. xvi
Introduction: On Quantitative Approaches to Multidimensional Poverty Measurement	p. xviii
The Information Basis of Multivariate Poverty Assesments	p. 1
The Fuzzy Set Approach to Multidimensional Poverty: the Case of Italy in the 1990s	p. 30
The Rasch Model and Multidimensional Poverty Measurement	p. 49
A Cluster Analysis of Multidimensional Poverty in Switzerland	p. 63
Multidimensional Poverty and Multiple Correspondence Analysis	p. 80
Income, Consumption and Permanent Income: a MIMIC Approach to Multidimensional Poverty Measurement	p. 104
Multidimensional Measures of Poverty and Well-being Based on Latent Variable Models	p. 118
A Multidimensional Approach to Subjective Poverty	p. 135
Using Efficiency Analysis to Measure Individual Well-being With an Illustration for Catalonia	p. 155
Efficiency Analysis and the Lower Convex Hull Approach	p. 176
Measuring Multidimensional Poverty: The Axiomatic Approach	p. 192
Determining the Parameters of Axiomatically Derived Multidimensional Poverty Indices: An Application Based on Reported Well-Being in Colombia	p. 210
The Order of Acquisition of Durable Goods and the Measurement of Multidimensional Poverty	p. 226
Using an Ordinal Approach to Multidimensional Poverty Analysis	p. 244
Index	p. 262
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Quantitative Approaches to Multidimensional Poverty Measurement

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Author Biography

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Quantitative Approaches to Multidimensional Poverty Measurement

Summary

Author Biography

Table of Contents

Supplemental Materials

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