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Amartya Sen's Capability Approach

Theoretical Insights and Empirical Applications

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  • © 2005

Overview

Part of the book series: Studies in Choice and Welfare (WELFARE)

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Table of contents (5 chapters)

Keywords

About this book

Kuklys examines how Nobel Prize-winning economist Amartya Sen’s approach to welfare measurement can be put in practice for poverty and inequality measurement in affluent societies such as the UK. Sen argues that an individual’s welfare should not be measured in terms of her income, but in terms what she can actually do or be, her capabilities. In Chapters 1 and 2, Kuklys describes the capability approach from a standard welfare economic point of view and provides a comprehensive literature review of the empirical applications in this area of research. In the remaining chapters, novel econometric techniques are employed to operationalise the concepts of functionings and capability to investigate inequality and poverty in terms of capability in the UK. Kuklys finds that capability measurement is always a useful complement to traditional monetary analysis, and particularly so in the case of capability-deprived disabled individuals.

Authors and Affiliations

  • Friesoythe, Germany

    Wiebke Kuklys

Bibliographic Information

  • Book Title: Amartya Sen's Capability Approach

  • Book Subtitle: Theoretical Insights and Empirical Applications

  • Authors: Wiebke Kuklys

  • Series Title: Studies in Choice and Welfare

  • DOI: https://doi.org/10.1007/3-540-28083-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Business and Economics, Economics and Finance (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2005

  • Hardcover ISBN: 978-3-540-26198-8Published: 24 June 2005

  • Softcover ISBN: 978-3-642-06562-0Published: 28 October 2010

  • eBook ISBN: 978-3-540-28083-5Published: 04 October 2005

  • Series ISSN: 1614-0311

  • Series E-ISSN: 2197-8530

  • Edition Number: 1

  • Number of Pages: XVII, 116

  • Topics: Economic Theory/Quantitative Economics/Mathematical Methods

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