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Robust Multiperiod Poverty Comparisons

  • Grimm, Michael
  • Gräb, Johannes

We propose a methodology for comparing poverty over multiple periods across time and space without arbitrarily aggregating income over various years or relying on arbitrarily specified poverty lines. Following Duclos et al. (2006a), we use the multivariate stochastic dominance methodology to create dominance surfaces for different time spans. We elaborate the method for the bi-dimensional case, using income observed over two periods, one at the beginning and one at the end of a time span, as dimensions. We also embed in this framework a new concept of chronic and transient poverty. We illustrate our approach by performing poverty comparisons using data for Indonesia and Peru.

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Paper provided by Verein für Socialpolitik, Research Committee Development Economics in its series Proceedings of the German Development Economics Conference, Göttingen 2007 with number 8.

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Date of creation: 2007
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Handle: RePEc:zbw:gdec07:6531
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  1. Jean-Yves Duclos & David Sahn & Stephen D. Younger, 2006. "Robust Multidimensional Spatial Poverty Comparisons in Ghana, Madagascar, and Uganda," World Bank Economic Review, World Bank Group, vol. 20(1), pages 91-113.
  2. Jalan, Jyotsna & Ravallion, Martin, 1998. "Transient Poverty in Postreform Rural China," Journal of Comparative Economics, Elsevier, vol. 26(2), pages 338-357, June.
  3. Michael Grimm, 2007. "Removing the anonymity axiom in assessing pro-poor growth," Journal of Economic Inequality, Springer, vol. 5(2), pages 179-197, August.
  4. Philippe De Vreyer & Javier Herrera & Sandrine Mesplé-Somps, 2005. "Consumption growth and spatial poverty traps: an analysis of the effect of social services and community infrastructures on living standards in rural Peru," Ibero America Institute for Econ. Research (IAI) Discussion Papers 124, Ibero-America Institute for Economic Research.
  5. Guillermo Cruces, 2005. "Income Fluctuations, Poverty and Well-Being Over Time: Theory and Application to Argentina," Labor and Demography 0502007, EconWPA.
  6. Duclos, Jean-Yves & Araar, Abdelkrim & Giles, John T., 2006. "Chronic and Transient Poverty: Measurement and Estimation, with Evidence from China," IZA Discussion Papers 2078, Institute for the Study of Labor (IZA).
  7. BOSSERT, Walter & D'AMBROSIO, Conchita & PERAGINE, Vito, 2004. "Deprivation and Social Exclusion," Cahiers de recherche 02-2004, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  8. Hulme, David & Shepherd, Andrew, 2003. "Conceptualizing Chronic Poverty," World Development, Elsevier, vol. 31(3), pages 403-423, March.
  9. Jean-Yves Duclos & David E. Sahn & Stephen D. Younger, 2006. "Robust Multidimensional Poverty Comparisons," Economic Journal, Royal Economic Society, vol. 116(514), pages 943-968, October.
  10. François Bourguignon & Satya Chakravarty, 2003. "The Measurement of Multidimensional Poverty," Journal of Economic Inequality, Springer, vol. 1(1), pages 25-49, April.
  11. Richard Breen & Pasi Moisio, 2004. "Poverty dynamics corrected for measurement error," Journal of Economic Inequality, Springer, vol. 2(3), pages 171-191, July.
  12. Foster, James E & Shorrocks, Anthony F, 1988. "Poverty Orderings," Econometrica, Econometric Society, vol. 56(1), pages 173-77, January.
  13. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
  14. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843 Elsevier.
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