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Measuring Pro-Poor Progress towards the Non-Income Millennium Development Goals

  • Grosse, Melanie
  • Harttgen, Kenneth
  • Klasen, Stephan

In order to track progress in MDG1 and explicitly link growth, inequality, and poverty reduction, several measures of \"pro-poor growth\" have been proposed in the literature and used in applied academic and policy work. These measures, particularly the ones derived from the growth incidence curve, allow a much more detailed assessment of the distributional impact of growth and its link to poverty reduction. However, there are no corresponding measures for tracking the distribution of progress in non-income dimensions of poverty, and thus the distribution of progress towards MDGs 2-7. In this paper, we propose to extend the pro-poor growth measurement to non-income dimensions of poverty (particularly health and education). We empirically illustrate the approach for Bolivia and show that it allows a much more detailed assessment of progress towards MDGs 2-7 by focusing on the distribution of progress. Furthermore, this extension also allows an explicit assessment of the linkage between progress in MDG1 and MDGs 2-7 as well as extends traditional incidence analysis by quantifying outcomes in non-income dimensions of poverty along the income distribution.

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Paper provided by World Institute for Development Economic Research (UNU-WIDER) in its series Working Paper Series with number RP2006/38.

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Length: 24 pages
Date of creation: 2006
Date of revision:
Handle: RePEc:unu:wpaper:rp2006-38
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  1. 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.
  2. Sudhir Anand & Martin Ravallion, 1993. "Human Development in Poor Countries: On the Role of Private Incomes and Public Services," Journal of Economic Perspectives, American Economic Association, vol. 7(1), pages 133-150, Winter.
  3. Michael Grimm, 2005. "Removing the anonymity axiom in assessing pro-poor growth," Ibero America Institute for Econ. Research (IAI) Discussion Papers 113, Ibero-America Institute for Economic Research.
  4. Ravallion, Martin, 2001. "Growth, Inequality and Poverty: Looking Beyond Averages," World Development, Elsevier, vol. 29(11), pages 1803-1815, November.
  5. Lanjouw, Peter & Ravallion, Martin, 1998. "Benefit incidence and the timing of program capture," Policy Research Working Paper Series 1956, The World Bank.
  6. Stephan Klasen & Melanie Grosse & Rainer Thiele & Jann Lay & Julius Spatz & Manfred Wiebelt, 2004. "Operationalizing Pro-Poor Growth - Country Case Study: Bolivia," Ibero America Institute for Econ. Research (IAI) Discussion Papers 101, Ibero-America Institute for Economic Research.
  7. Melanie Grosse & Kenneth Harttgen & Stephan Klasen, 2005. "Measuring Pro-Poor Growth with Non-Income Indicators," Ibero America Institute for Econ. Research (IAI) Discussion Papers 132, Ibero-America Institute for Economic Research.
  8. Jean-Yves Duclos & Quentin Wodon, 2004. "What is "Pro-Poor"?," Cahiers de recherche 0425, CIRPEE.
  9. Ravallion, Martin & Chen, Shaohua, 2003. "Measuring pro-poor growth," Economics Letters, Elsevier, vol. 78(1), pages 93-99, January.
  10. Michael Grimm & Charlotte Guénard & Sandrine Mesplé-Somps, 2001. "What has happened to the urban population in Côte d'Ivoire since the eighties ? An analysis of monetary poverty and deprivation over 15 years of household data," Working Papers DT/2001/14, DIAL (Développement, Institutions et Mondialisation).
  11. Sen, Amartya, 1988. "The concept of development," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 1, chapter 1, pages 9-26 Elsevier.
  12. 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.
  13. 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.
  14. Mukherjee, Diganta, 2001. "Measuring multidimensional deprivation," Mathematical Social Sciences, Elsevier, vol. 42(3), pages 233-251, November.
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