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Determinants of Poverty in Eritrea: A Household level Analysis

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  • Eyob Fissuh & Mark Harris

Abstract

This paper uses DOGEV model for modelling determinates of poverty in Eritrea by employing Eritrean Household Income and Expenditure Survey 1996/97 data. Education impacts welfare differently across poverty categories and there are pockets of poverty in the educated population sub group. Effect of household size is not the same across poverty categories. Contrary to the evidence in the literature the relationship between age and probability of being poor was found to be convex to the origin. Regional unemployment was found to be positively associated with poverty. Remittances, house ownership and access to sewage and sanitation facilities were found to be highly negatively related to poverty. This paper also finds out that there is captivity in poverty category and a significant correlation between poverty orderings which renders usage of standard multinomial/ordered logit in poverty analysis less defensible

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Paper provided by Econometric Society in its series Econometric Society 2004 Australasian Meetings with number 364.

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Date of creation: 11 Aug 2004
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Handle: RePEc:ecm:ausm04:364

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Keywords: Poverty; Eritrea; Dogev; Dogit and Ogev;

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References

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  1. François Bourguignon & Satya Chakravarty, 2003. "The Measurement of Multidimensional Poverty," Journal of Economic Inequality, Springer, vol. 1(1), pages 25-49, April.
  2. repec:ese:iserwp:2002-08 is not listed on IDEAS
  3. Glewwe, Paul, 1991. "Investigating the determinants of household welfare in Cote d'Ivoire," Journal of Development Economics, Elsevier, vol. 35(2), pages 307-337, April.
  4. Tim R.L. Fry & Mark N. Harris, 2002. "The DOGEV Model," Monash Econometrics and Business Statistics Working Papers 7/02, Monash University, Department of Econometrics and Business Statistics.
  5. Diamond, Charles A. & Simon, Curtis J. & Warner, John T., 1990. "A multinomial probability model of size income distribution," Journal of Econometrics, Elsevier, vol. 43(1-2), pages 43-61.
  6. Marc J. I. Gaudry, 1980. "Dogit and Logit Models of Travel Mode Choice in Montreal," Canadian Journal of Economics, Canadian Economics Association, vol. 13(2), pages 268-79, May.
  7. Amuedo-Dorantes, Catalina, 2004. "Determinants and Poverty Implications of Informal Sector Work in Chile," Economic Development and Cultural Change, University of Chicago Press, vol. 52(2), pages 347-68, January.
  8. Samir Ghazouani & Mohamed Goaied, 2001. "The Determinants of Urban and Rural Poverty in Tunisia," Working Papers 0126, Economic Research Forum, revised Sep 2001.
  9. Barrientos, Armando & Gorman, Mark & Heslop, Amanda, 2003. "Old Age Poverty in Developing Countries: Contributions and Dependence in Later Life," World Development, Elsevier, vol. 31(3), pages 555-570, March.
  10. Lorenzo Cappellari & Stephen P. Jenkins, 2002. "Modelling Low Income Transitions," Discussion Papers of DIW Berlin 288, DIW Berlin, German Institute for Economic Research.
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Cited by:
  1. Paul Makdissi & Dorothée Boccanfuso & Mathieu Audet, 2006. "The Geographic Determinants of Poverty in Albania," Cahiers de recherche 06-12, Departement d'Economique de la Faculte d'administration à l'Universite de Sherbrooke.

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