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Analyzing Multidimensional Well-Being: A Quantitative Approach [Kietas viršelis]

  • Formatas: Hardback, 336 pages, aukštis x plotis x storis: 231x158x23 mm, weight: 590 g
  • Išleidimo metai: 12-Jan-2018
  • Leidėjas: John Wiley & Sons Inc
  • ISBN-10: 1119256909
  • ISBN-13: 9781119256908
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 336 pages, aukštis x plotis x storis: 231x158x23 mm, weight: 590 g
  • Išleidimo metai: 12-Jan-2018
  • Leidėjas: John Wiley & Sons Inc
  • ISBN-10: 1119256909
  • ISBN-13: 9781119256908
Kitos knygos pagal šią temą:
An indispensable reference for all researchers interested in the measurement of social  welfare. . .

Franēois 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.

Franēois 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.
Preface xi
Endorsements xv
1 Well-Being as a Multidimensional Phenomenon
1(48)
1.1 Introduction
1(3)
1.2 Income as a Dimension of Well-Being and Some Related Aggregations
4(6)
1.3 Scales of Measurement: A Brief Exposition
10(1)
1.4 Preliminaries for Multidimensional Welfare Analysis
11(3)
1.5 The Dashboard Approach and Weights on Dimensional Metrics in a Composite Index
14(3)
1.6 Multidimensional Welfare Function Axioms
17(10)
1.6.1 Invariance Axioms
17(2)
1.6.2 Distributional Axioms
19(8)
1.7 Multidimensional Welfare Functions
27(10)
1.8 Concluding Remarks
37(12)
References
38(11)
2 An Overview of Multidimensional Economic Inequality
49(36)
2.1 Introduction
49(3)
2.2 A Review of One-Dimensional Measurement
52(4)
2.2.1 Normative One-Dimensional Inequality Indices
51(2)
2.2.2 Subgroup-Decomposable Indices of Inequality
53(3)
2.3 Multidimensional Inequality Indices
56(21)
2.3.1 The Direct Approach
56(1)
2.3.1.1 Axioms for a Multidimensional Inequality Index
56(4)
2.3.1.2 Examples of Indices
60(9)
2.3.2 The Inclusive Measure of Well-being Approach
69(8)
2.4 Concluding Remarks
77(8)
References
78(7)
3 A Synthesis of Multidimensional Poverty
85(78)
3.1 Introduction
85(4)
3.2 A Brief Review of One-Dimensional Analysis
89(4)
3.3 Preliminaries for Multidimensional Poverty Analysis
93(2)
3.4 Identification of the Poor and Deprivation Counting
95(4)
3.5 Axioms for a Multidimensional Poverty Metric
99(14)
3.5.1 Invariance Axioms
100(3)
3.5.2 Distributional Axioms
103(5)
3.5.3 Decomposability Axioms
108(3)
3.5.4 Threshold Limit Sensitivity Axiom
111(1)
3.5.5 Technical Axioms
112(1)
3.6 Multidimensional Poverty Measurement
113(612)
3.6.1 The Dashboard Approach
113(4)
3.6.2 The Direct Approach
117(6)
3.6.3 The Inclusive Measure of Well-being Approach
123(2)
3.7 Multidimensional Poverty Orderings
125(1)
3.7.1 A Brief Outline of One-Dimensional Orderings
126(3)
3.7.2 Multidimensional Orderings
129(2)
3.8 Dimensions of Well-Being with Ordinal Significance and Multidimensional Poverty
131(3)
3.9 Orderings Based on Deprivations Counts
134(4)
3.10 Multidimensional Material Deprivation
138(4)
3.11 Concluding Remarks
142(21)
References
143(20)
4 Fuzzy Set Approaches to the Measurement of Multidimensional Poverty
163(38)
4.1 Introduction
163(2)
4.2 Fuzzy Membership Function
165(8)
4.3 Axioms for a Fuzzy Multidimensional Poverty Index
173(14)
4.3.1 Invariance Axioms
175(1)
4.3.1.1 Fuzzy Strong Ratio-Scale Invariance
175(2)
4.3.1.2 Fuzzy Strong Translation-Scale Invariance
177(1)
4.3.1.3 Fuzzy Weak Focus
177(1)
4.3.1.4 Fuzzy Strong Focus
178(1)
4.3.1.5 Fuzzy Symmetry
178(1)
4.3.1.6 Fuzzy Population Replication Invariance
179(1)
4.3.2 Distributional Axioms
179(1)
4.3.2.1 Fuzzy Monotonicity
179(1)
4.3.2.2 Fuzzy Monotonicity Sensitivity
180(1)
4.3.2.3 Fuzzy Dimensional Monotonicity
181(1)
4.3.2.4 Fuzzy Transfer
182(2)
4.3.2.5 Increasing Fuzzy Poverty under Correlation-Increasing Switch
184(1)
4.3.3 Decomposability Axioms
185(1)
4.3.3.1 Fuzzy Subgroup Decomposability
185(1)
4.3.3.2 Fuzzy Factor Decomposability
185(1)
4.3.4 Fuzzy Sensitivity Axiom
186(1)
4.3.4.1 Increasing Fuzzy Poverty for Increased Membership Function
186(1)
4.3.5 Technical Axioms
187(1)
4.3.5.1 Fuzzy Boundedness
187(1)
4.3.5.2 Fuzzy Continuity
187(1)
4.4 Fuzzy Multidimensional Poverty Indices
187(4)
4.5 Fuzzy Poverty Orderings
191(4)
4.6 Concluding Remarks
195(6)
References
195(6)
5 Poverty and Time: A Multidimensional Appraisal
201(50)
5.1 Introduction
201(6)
5.2 Preliminaries
207(1)
5.3 The Block Approach
208(18)
5.3.1 Individual Multidimensional Intertemporal Poverty Index
208(10)
5.3.2 Aggregate Multidimensional Intertemporal Poverty Index
218(2)
5.3.3 A Review of Some Related One-Dimensional Proposals
220(6)
5.4 An Exploration of the Counting Approaches to Multidimensional Intertemporal Deprivations
226(3)
5.5 The Multidimensional Duration Approach
229(14)
5.5.1 A Review of One-Dimensional Duration-Reliant Offers
229(2)
5.5.2 Axioms for a Chronic Multidimensional Poverty Quantifier
231(9)
5.5.3 The Bourguignon-Chakravarty Approach to Chronic Multidimensional Poverty Measurement
240(3)
5.6 Intertemporal Poverty Orderings
243(2)
5.7 Concluding Remarks
245(6)
References
246(5)
6 Vulnerability to Poverty: A Multidimensional Evaluation
251(26)
6.1 Introduction
251(3)
6.2 A Review of One-Dimensional Measurement
254(8)
6.3 Multidimensional Representation of Vulnerability to Poverty: An Axiomatic Investigation
262(7)
6.4 Concluding Remarks
269(8)
References
271(6)
7 An Exploration of Some Composite and Individualistic Indices
277(34)
7.1 Introduction
277(1)
7.2 Human Development Index
278(6)
7.3 Human Poverty Index
284(2)
7.4 Gender Inequality Index
286(2)
7.5 Better Life Index
288(3)
7.6 Active Citizenship Composite Index
291(2)
7.7 Measuring Human Opportunity: A Counting Approach
293(2)
7.8 Assessment of Progress toward Achievements in Millennium Development Goals
295(6)
7.9 Air Quality Index
301(2)
7.10 Concluding Remarks
303(8)
References
304(7)
Index 311
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.