Analyzing Multidimensional Well-Being
eBook - ePub

Analyzing Multidimensional Well-Being

A Quantitative Approach

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Analyzing Multidimensional Well-Being

A Quantitative Approach

About this book

"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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Yes, you can access Analyzing Multidimensional Well-Being by Satya R. Chakravarty in PDF and/or ePUB format, as well as other popular books in Economics & Econometrics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2017
Print ISBN
9781119256908
eBook ISBN
9781119256953
Edition
1
Subtopic
Econometrics

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Table of Contents
  5. Dedication
  6. Preface
  7. Endorsements
  8. Chapter 1: Well-Being as a Multidimensional Phenomenon
  9. Chapter 2: An Overview of Multidimensional Economic Inequality
  10. Chapter 3: A Synthesis of Multidimensional Poverty
  11. Chapter 4: Fuzzy Set Approaches to the Measurement of Multidimensional Poverty
  12. Chapter 5: Poverty and Time: A Multidimensional Appraisal
  13. Chapter 6: Vulnerability to Poverty: A Multidimensional Evaluation
  14. Chapter 7: An Exploration of Some Composite and Individualistic Indices
  15. Index
  16. End User License Agreement