IDEAS home Printed from https://ideas.repec.org/h/pal/palchp/978-0-230-58235-4_7.html
   My bibliography  Save this book chapter

Multidimensional Measures of Poverty and Well-being Based on Latent Variable Models

In: Quantitative Approaches to Multidimensional Poverty Measurement

Author

Listed:
  • Jaya Krishnakumar

Abstract

Development is a multidimensional concept incorporating diverse social, economic, cultural and political dimensions and economic growth, though necessary, is not sufficient in itself to bring about development in this broad sense. According to Nobel Prize Laureate Amartya Sen (for example, Sen, 1985, 1999), the basic purpose of development is to enlarge people’s choices so that they can lead the life they want to. In this approach, the choices are termed ‘capabilities’ and the actual levels of achievement attained in the various dimensions are called ‘functionings’. Thus human development is the enhancement of the set of choices or capabilities of individuals whereas functionings are a set of ‘beings’ and ‘doings’ which are the results of a given choice. The concept of human development proposed by Mahbub ul Haq, in the first Human Development Report in 1990 (see UNDP, 1990), largely inspired by Sen’s various works, represents a major step ahead in the concretization of this extended meaning of development and in the effort to bring people’s lives to the centre of thinking and analysis. Since then, human development and human deprivation have been the object of extensive theoretical and empirical research. They have been studied from various angles: conceptual, methodological, operational and policy making. As it is not possible to directly observe and measure human development in its broad sense or the lack of it, they are generally constructed as composite indices based on several variables (indicators).

Suggested Citation

  • Jaya Krishnakumar, 2008. "Multidimensional Measures of Poverty and Well-being Based on Latent Variable Models," Palgrave Macmillan Books, in: Nanak Kakwani & Jacques Silber (ed.), Quantitative Approaches to Multidimensional Poverty Measurement, chapter 7, pages 118-134, Palgrave Macmillan.
  • Handle: RePEc:pal:palchp:978-0-230-58235-4_7
    DOI: 10.1057/9780230582354_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tindara Addabbo & Gisella Facchinetti, 2013. "Fuzzy logic and the capability approach," Center for the Analysis of Public Policies (CAPP) 0106, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    2. Tullio, Federico & Bartolucci, Francesco, 2019. "Evaluating time-varying treatment effects in latent Markov models: An application to the effect of remittances on poverty dynamics," MPRA Paper 91459, University Library of Munich, Germany.
    3. Krishnakumar, Jaya & Ballon, Paola, 2008. "Estimating Basic Capabilities: A Structural Equation Model Applied to Bolivia," World Development, Elsevier, vol. 36(6), pages 992-1010, June.
    4. Brinda Viswanathan, 2014. "Variations in Women’s Heights across Social and Religious Groups Among Indian States," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(2), pages 1149-1169, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palchp:978-0-230-58235-4_7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.