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Simulating the impact of geographic targeting on poverty alleviation in Morocco : what are the gains from disaggregation ?

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  • Douidich, Mohammed
  • Ezzrari, Abdeljouad
  • Lanjouw, Peter

Abstract

The authors employ the recently completed"poverty map"for Morocco, referring to the year 2004, as a tool for an ex-ante evaluation of the distributional incidence of geographic targeting of public resources. They simulate the impact on poverty of transferring an exogenously given budget to geographically defined sub-groups of the population according to their relative poverty status. In both rural and urban areas, the findings reveal large gains from targeting smaller administrative units, such as communes or districts. However, these gains are still far from the poverty reduction that would be possible had the planners had access to information on household level income or consumption. The results indicate that a useful way forward might be to combine fine geographic targeting using a poverty map with within-community targeting mechanisms.

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Bibliographic Info

Paper provided by The World Bank in its series Policy Research Working Paper Series with number 4724.

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Date of creation: 01 Sep 2008
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Handle: RePEc:wbk:wbrwps:4724

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Keywords: Rural Poverty Reduction; Population Policies; Small Area Estimation Poverty Mapping; Services&Transfers to Poor;

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References

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  1. Indraneel Dasgupta & Ravi Kanbur, 2005. "Community and anti-poverty targeting," Journal of Economic Inequality, Springer, Springer, vol. 3(3), pages 281-302, December.
  2. Gilbert,Christopher L. & Vines,David (ed.), 2000. "The World Bank," Cambridge Books, Cambridge University Press, Cambridge University Press, number 9780521790956.
  3. Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank.
  4. Glewwe, Paul, 1992. "Targeting assistance to the poor : Efficient allocation of transfers when household income is not observed," Journal of Development Economics, Elsevier, Elsevier, vol. 38(2), pages 297-321, April.
  5. Elbers, Chris & Fujii, Tomoki & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2007. "Poverty alleviation through geographic targeting: How much does disaggregation help?," Journal of Development Economics, Elsevier, Elsevier, vol. 83(1), pages 198-213, May.
  6. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, Econometric Society, vol. 52(3), pages 761-66, May.
  7. Fujii, Tomoki, 2004. "Commune-Level Estimation of Poverty Measures and its Application in Cambodia," Working Paper Series, World Institute for Development Economic Research (UNU-WIDER) UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
  8. Demombynes, Gabriel & Elbers, Chris & Lanjouw, Jenny & Lanjouw, Peter & Mistiaen, Johan & Ozler, Berk, 2002. "Producing an Improved Geographic Profile of Poverty: Methodology and Evidence from Three Developing Countries," Working Paper Series, World Institute for Development Economic Research (UNU-WIDER) UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
  9. Elbers, Chris & Lanjouw, Peter & Leite, Phillippe George, 2008. "Brazil within Brazil : testing the poverty map methodology in Minas Gerais," Policy Research Working Paper Series 4513, The World Bank.
  10. Duclos, Jean-Yves & Makdissi, Paul & Wodon, Quentin, 2003. "Poverty-Efficient Transfer Programs: The Role of Targeting and Allocation Rules," Cahiers de recherche, CIRPEE 0305, CIRPEE.
  11. Hentschel, J. & Lanjouw, P., 1996. "Constructing an Indicator of Consumption for the Analysis of Poverty. Principles and Illustrations with Reference to Ecuador," Papers, World Bank - Living Standards Measurement 127, World Bank - Living Standards Measurement.
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