IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

A Human Development Index by Income Groups

  • Michael Grimm, Kenneth Harttgen, Stephan Klasen, and Mark Misselhorn

Summary One of the most frequent critiques of the HDI is that it does not take into account inequality within countries. We suggest a methodology which allows to compute the three components and the overall HDI for quintiles of the income distribution. This allows comparisons of the level in human development of the poor and non-poor within and across countries. An empirical illustration shows large discrepancies in human development within the countries, especially in Africa. These discrepancies are lower the higher the HDI is, but only weakly so. Inequality in income is generally higher than inequality in education and life expectancy.

(This abstract was borrowed from another version of this item.)

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

Paper provided by Human Development Report Office (HDRO), United Nations Development Programme (UNDP) in its series Human Development Occasional Papers (1992-2007) with number HDOCPA-2006-07.

in new window

Length: 36 pages
Date of creation: Oct 2006
Date of revision:
Publication status: Published as background research for the 2006 Human Development Report.
Handle: RePEc:hdr:hdocpa:hdocpa-2006-07
Contact details of provider: Postal: 304 E 45th Street, FF-12th Floor, New York, NY, 10017
Phone: +1-212-906-3661
Fax: +1-212-906-5161
Web page:

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Martin Ravallion, 2003. "Measuring Aggregate Welfare in Developing Countries: How Well Do National Accounts and Surveys Agree?," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 645-652, August.
  2. David M. Cutler & Angus S. Deaton & Adriana Lleras-Muney, 2006. "The Determinants of Mortality," NBER Working Papers 11963, National Bureau of Economic Research, Inc.
  3. Stephan Klasen, 2006. "Guest Editor's Introduction," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 7(2), pages 145-159.
  4. David E. Sahn & David Stifel, 2003. "Exploring Alternative Measures of Welfare in the Absence of Expenditure Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(4), pages 463-489, December.
  5. Bidani, Benu & Ravallion, Martin, 1995. "Decomposing social indicators using distributional data," Policy Research Working Paper Series 1487, The World Bank.
  6. Srinivasan, T N, 1994. "Human Development: A New Paradigm or Reinvention of the Wheel?," American Economic Review, American Economic Association, vol. 84(2), pages 238-43, May.
  7. Deaton, A. & Zaidi, S., 1999. "Guidelines for Constructing Consumption Aggregates for Welfare Analysis," Papers 192, Princeton, Woodrow Wilson School - Development Studies.
  8. Melanie Grosse & Stephan Klasen & Julius Spatz, 2005. "Creating National Poverty Profiles and Growth Incidence Curves with Incomplete Income or Consumption Expenditure Data: An Application to Bolivia," Ibero America Institute for Econ. Research (IAI) Discussion Papers 129, Ibero-America Institute for Economic Research.
  9. repec:sae:ecolab:v:16:y:2006:i:2:p:1-2 is not listed on IDEAS
  10. Ravallion, Martin, 1997. "Good and bad growth: The human development reports," World Development, Elsevier, vol. 25(5), pages 631-638, May.
  11. Angus Deaton, 2004. "Measuring poverty in a growing world (or measuring growth in a poor world)," Working Papers 178, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
  12. Stephan Klasen, 2006. "UNDP's Gender-related Measures: Some Conceptual Problems and Possible Solutions," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 7(2), pages 243-274.
  13. Angus Deaton, 2005. "ERRATUM: Measuring Poverty in a Growing World (or Measuring Growth in a Poor World)," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 395-395, May.
  14. Nikolay Nenovsky & S. Statev, 2006. "Introduction," Post-Print halshs-00260898, HAL.
  15. M. Ruth & K. Donaghy & P. Kirshen, 2006. "Introduction," Chapters, in: Regional Climate Change and Variability, chapter 1 Edward Elgar.
  16. Gustav Ranis, Frances Stewart and Emma Samman, . "Human Development: beyond the HDI," QEH Working Papers qehwps135, Queen Elizabeth House, University of Oxford.
  17. Michaelowa, Katharina, 2001. "Primary Education Quality in Francophone Sub-Saharan Africa: Determinants of Learning Achievement and Efficiency Considerations," World Development, Elsevier, vol. 29(10), pages 1699-1716, October.
  18. Thomas, Vinod & Wang, Yan & Fan, Xibo, 2001. "Measuring education inequality - Gini coefficients of education," Policy Research Working Paper Series 2525, The World Bank.
  19. Carola Gruen & Stephan Klasen, 2008. "Growth, inequality, and welfare: comparisons across space and time," Oxford Economic Papers, Oxford University Press, vol. 60(2), pages 212-236, April.
  20. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer, vol. 38(1), pages 115-132, February.
  21. Sagar, Ambuj D. & Najam, Adil, 1998. "The human development index: a critical review," Ecological Economics, Elsevier, vol. 25(3), pages 249-264, June.
  22. Deon Filmer & Lant Pritchett, 1999. "The Effect of Household Wealth on Educational Attainment: Evidence from 35 Countries," Population and Development Review, The Population Council, Inc., vol. 25(1), pages 85-120.
  23. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
  24. Sahn, David E. & Stifel, David C., 2000. "Poverty Comparisons Over Time and Across Countries in Africa," World Development, Elsevier, vol. 28(12), pages 2123-2155, December.
  25. Filmer, Deon & Pritchett, Lant, 1998. "Estimating wealth effects without expenditure data - or tears : with an application to educational enrollments in states of India," Policy Research Working Paper Series 1994, The World Bank.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:hdr:hdocpa:hdocpa-2006-07. 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: (HDRO/UNDP)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.