IDEAS home Printed from https://ideas.repec.org/p/mos/moswps/2010-36.html
   My bibliography  Save this paper

Multi Dimensional Deprivation in India during and after the Reforms: Do the Household Expenditure and the Family Health Surveys Present Consistent Evidence?

Author

Listed:
  • Ankita Mishra
  • Ranjan Ray

Abstract

This paper uses the recent approach of multidimensional deprivation measures to provide a comprehensive and wide ranging assessment of changes to living standards in India during the period, 1992/93-2004/5.This covers the reforms and the immediate post reforms time periods. The study is based on the simultaneous use of two parallel data sets, namely the NSS and NFHS data sets covering proximate rounds and near identical time periods. The study is conducted both at regionally disaggregated levels and by socio economic groups. The deprivation dimensions range widely from the conventional expenditure dimensions to non expenditure dimensions such as access to drinking water and clean fuel, to health dimensions such as child stunting and the mother’s BMI. The use of decomposable deprivation measures allows the identification of regions, socio economic groups and deprivation dimensions that are contributing more than others to total deprivation.

Suggested Citation

  • Ankita Mishra & Ranjan Ray, 2010. "Multi Dimensional Deprivation in India during and after the Reforms: Do the Household Expenditure and the Family Health Surveys Present Consistent Evidence?," Monash Economics Working Papers 36-10, Monash University, Department of Economics.
  • Handle: RePEc:mos:moswps:2010-36
    as

    Download full text from publisher

    File URL: http://www.buseco.monash.edu.au/eco/research/papers/2010/3610multimishraray.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Walter Bossert & Conchita D'Ambrosio & Vito Peragine, 2007. "Deprivation and Social Exclusion," Economica, London School of Economics and Political Science, vol. 74(296), pages 777-803, November.
    2. Gaurav Datt & Martin Ravallion, 2002. "Is India's Economic Growth Leaving the Poor Behind?," Journal of Economic Perspectives, American Economic Association, vol. 16(3), pages 89-108, Summer.
    3. Satya R. Chakravarty & Conchita D'Ambrosio, 2006. "The Measurement Of Social Exclusion," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(3), pages 377-398, September.
    4. Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
    5. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    6. Ankita Mishra & Ranjan Ray, 2011. "Prices, Inequality, And Poverty: Methodology And Indian Evidence," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(3), pages 428-448, September.
    7. Meenakshi, J. V. & Ray, Ranjan, 2002. "Impact of household size and family composition on poverty in rural India," Journal of Policy Modeling, Elsevier, vol. 24(6), pages 539-559, October.
    8. (No last name available), Himanshu, 2013. "Poverty and Food Security in India," ADB Economics Working Paper Series 369, Asian Development Bank.
    9. Satya Chakravarty & Amita Majumder, 2005. "Measuring Human Poverty: A Generalized Index and an Application Using Basic Dimensions of Life and Some Anthropometric Indicators," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 6(3), pages 275-299.
    10. Klasen, Stephan, 2000. "Measuring Poverty and Deprivation in South Africa," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(1), pages 33-58, March.
    11. François Bourguignon & Satya Chakravarty, 2003. "The Measurement of Multidimensional Poverty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 25-49, April.
    12. Luis Ayala & Antonio Jurado & Jesús Pérez‐Mayo, 2011. "Income Poverty And Multidimensional Deprivation: Lessons From Cross‐Regional Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(1), pages 40-60, March.
    13. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    14. Datt, Gaurav & Ravallion, Martin, 1998. "Why Have Some Indian States Done Better Than Others at Reducing Rural Poverty?," Economica, London School of Economics and Political Science, vol. 65(257), pages 17-38, February.
    15. Indranil Dutta & Prasanta K. Pattanaik & Yongsheng Xu, 2003. "On Measuring Deprivation and the Standard of Living in a Multidimensional Framework on the Basis of Aggregate Data," Economica, London School of Economics and Political Science, vol. 70(278), pages 197-221, May.
    16. M. Majumdar & S. Subramanian, 2001. "Capability Failure and Group Disparities : Some Evidence from India for the 1980s," Journal of Development Studies, Taylor & Francis Journals, vol. 37(5), pages 104-140.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Duangkamon Chotikapanich & William Griffiths & Wasana Karunarathne & D.S. Prasada Rao, 2013. "Calculating Poverty Measures from the Generalised Beta Income Distribution," The Economic Record, The Economic Society of Australia, vol. 89, pages 48-66, June.
    2. Alkire, Sabina & Seth, Suman, 2015. "Multidimensional Poverty Reduction in India between 1999 and 2006: Where and How?," World Development, Elsevier, vol. 72(C), pages 93-108.
    3. Guoqiang Ren & Xiuli Pan, 2016. "An Individual Relative Deprivation Index and Its Curve Considering Income Scope," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 126(3), pages 935-953, April.
    4. Suman Seth and Sabina Alkire, 2014. "Measuring and Decomposing Inequality among the Multidimensionally Poor Using Ordinal Data: A Counting Approach," OPHI Working Papers ophiwp068, Queen Elizabeth House, University of Oxford.

    More about this item

    Keywords

    Multidimensional Deprivation; Social Exclusion; Decomposable Deprivation Measures; Scheduled Classes and Tribes; Clean Fuel; Stunted Children.;

    JEL classification:

    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:mos:moswps:2010-36. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Simon Angus). General contact details of provider: http://edirc.repec.org/data/dxmonau.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.