Satya R. Chakravarty

Analyzing Multidimensional Well-Being (eBook, PDF)

A Quantitative Approach

• Format: PDF

Produktbeschreibung

"An indispensable reference for all researchers interested in the measurement of social welfare. . ." --François Bourguignon, Emeritus Professor at Paris School of Economics, Former Chief Economist of the World Bank. ". . .a detailed, insightful, and pedagogical presentation of the theoretical grounds of multidimensional well-being, inequality, and poverty measurement. Any student, researcher, and practitioner interested in the multidimensional approach should begin their journey into such a fascinating theme with this wonderful book." --François Maniquet, Professor, Catholic University of Louvain, Belgium. A Review of the Multidimensional Approaches to the Measurement of Welfare, Inequality, and Poverty Analyzing Multidimensional Well-Being: A Quantitative Approach offers a comprehensive approach to the measurement of well-being that includes characteristics such as income, health, literacy, and housing. The author presents a systematic comparison of the alternative approaches to the measurement of multidimensional welfare, inequality, poverty, and vulnerability. The text contains real-life applications of some multidimensional aggregations (most of which have been designed by international organizations such as the United Nations Development Program and the Organization for Economic Co-operation and Development) that help to judge the performance of a country in the various dimensions of well-being. The text offers an evaluation of how well a society is doing with respect to achievements of all the individuals in the dimensions considered and clearly investigates how achievements in the dimensions can be evaluated from different perspectives. The author includes a detailed scrutiny of alternative techniques for setting weights to individual dimensional metrics and offers an extensive analysis into both the descriptive and welfare theoretical approaches to the concerned multi-attribute measurement and related issues. This important resource: * Contains a synthesis of multidimensional welfare, inequality, poverty, and vulnerability analysis * Examines aggregations of achievement levels in the concerned dimensions of well-being from various standpoints * Shows how to measure poverty using panel data instead of restricting attention to a single period and when we have imprecise information on dimensional achievements * Argues that multidimensional analysis is intrinsically different from marginal distributions-based analysis Written for students, teachers, researchers, and scholars, Analyzing Multidimensional Well-Being: A Quantitative Approach puts the focus on various approaches to the measurementof the many aspects of well-being and quality of life. Satya R. Chakravarty is a Professor of Economics at the Indian Statistical Institute, Kolkata, India. He is an Editor of Social Choice and Welfare and a member of the Editorial Board of Journal of Economic Inequality.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 336
• Erscheinungstermin: 1. November 2017
• Englisch
• ISBN-13: 9781119256946
• Artikelnr.: 54222288

Autorenporträt

Satya R. Chakravarty is a Professor of Economics at the Indian Statistical Institute, Kolkata, India. He is an Editor of Social Choice and Welfare and a member of the Editorial Board of Journal of Economic Inequality.

Inhaltsangabe

Preface xi

Endorsements xv

1 Well-Being as a Multidimensional Phenomenon 1

1.1 Introduction 1

1.2 Income as a Dimension ofWell-Being and Some Related Aggregations 4

1.3 Scales of Measurement: A Brief Exposition 10

1.4 Preliminaries for MultidimensionalWelfare Analysis 11

1.5 The Dashboard Approach andWeights on DimensionalMetrics in a Composite Index 14

1.6 MultidimensionalWelfare Function Axioms 17

1.6.1 Invariance Axioms 17

1.6.2 Distributional Axioms 19

1.7 MultidimensionalWelfare Functions 27

1.8 Concluding Remarks 37

References 38

2 An Overview of Multidimensional Economic Inequality 49

2.1 Introduction 49

2.2 A Review of One-DimensionalMeasurement 51

2.2.1 Normative One-Dimensional Inequality Indices 51

2.2.2 Subgroup-Decomposable Indices of Inequality 53

2.3 Multidimensional Inequality Indices 56

2.3.1 The Direct Approach 56

2.3.1.1 Axioms for a Multidimensional Inequality Index 56

2.3.1.2 Examples of Indices 60

2.3.2 The Inclusive Measure ofWell-being Approach 69

2.4 Concluding Remarks 77

References 78

3 A Synthesis of Multidimensional Poverty 85

3.1 Introduction 85

3.2 A Brief Review of One-Dimensional Analysis 89

3.3 Preliminaries for Multidimensional Poverty Analysis 93

3.4 Identification of the Poor and Deprivation Counting 95

3.5 Axioms for a Multidimensional Poverty Metric 99

3.5.1 Invariance Axioms 100

3.5.2 Distributional Axioms 103

3.5.3 Decomposability Axioms 108

3.5.4 Threshold Limit Sensitivity Axiom 111

3.5.5 Technical Axioms 112

3.6 Multidimensional Poverty Measurement 113

3.6.1 The Dashboard Approach 113

3.6.2 The Direct Approach 117

3.6.3 The Inclusive Measure ofWell-being Approach 123

3.7 Multidimensional Poverty Orderings 125

3.7.1 A Brief Outline of One-Dimensional Orderings 126

3.7.2 Multidimensional Orderings 129

3.8 Dimensions ofWell-Being with Ordinal Significance and Multidimensional Poverty 131

3.9 Orderings Based on Deprivations Counts 134

3.10 Multidimensional Material Deprivation 138

3.11 Concluding Remarks 142

References 143

4 Fuzzy Set Approaches to the Measurement of Multidimensional Poverty 163

4.1 Introduction 163

4.2 Fuzzy Membership Function 165

4.3 Axioms for a Fuzzy Multidimensional Poverty Index 173

4.3.1 Invariance Axioms 175

4.3.1.1 Fuzzy Strong Ratio Scale Invariance 175

4.3.1.2 Fuzzy Strong Translation Scale Invariance 177

4.3.1.3 FuzzyWeak Focus 177

4.3.1.4 Fuzzy Strong Focus 178

4.3.1.5 Fuzzy Symmetry 178

4.3.1.6 Fuzzy Population Replication Invariance 179

4.3.2 Distributional Axioms 179

4.3.2.1 Fuzzy Monotonicity 179

4.3.2.2 Fuzzy Monotonicity Sensitivity 180

4.3.2.3 Fuzzy DimensionalMonotonicity 181

4.3.2.4 Fuzzy Transfer 182

4.3.2.5 Increasing Fuzzy Poverty under Correlation-Increasing Switch 184

4.3.3 Decomposability Axioms 185

4.3.3.1 Fuzzy Subgroup Decomposability 185

4.3.3.2 Fuzzy Factor Decomposability 185

4.3.4 Fuzzy Sensitivity Axiom 186

4.3.4.1 Increasing Fuzzy Poverty for Increased Membership Function 186

4.3.5 Technical Axioms 187

4.3.5.1 Fuzzy Boundedness 187

4.3.5.2 Fuzzy Continuity 187

4.4 Fuzzy Multidimensional Pove