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Updating Poverty Maps Between Censuses: A Case Study of Albania

  • Gianni BettiEmail author
  • Andrew Dabalen
  • Céline Ferré
  • Laura Neri
Chapter
Part of the Economic Studies in Inequality, Social Exclusion and Well-Being book series (EIAP, volume 8)

Abstract

The geography of poverty dynamics is of core interest to both researchers and policy makers. Yet, due to lack of panel data, the measurement of such movements has been very limited. In this chapter, the authors consider a method to construct updated poverty maps between censuses. They build on the methodology used to construct counterfactual distribution of welfare measures. Unlike methods that rely on panel data or availability of time-invariant household characteristics, both of which are difficult to obtain, the authors propose a method that can be applied to most datasets. They use the example of Albania where census data were available in 2001 and household-level data were available for 2002, 2005, and 2008 to illustrate the updating of poverty maps. The results are quite encouraging to look at poverty mobility as they predict intercensal poverty estimates quite well.

Keywords

Household Survey Poverty Rate Small Area Estimation Welfare Estimate Poverty Estimate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Betti, G., Ballini, F., and Neri, L. (2003) “Poverty and Inequality Mapping in Albania,” Background Report for The World Bank.Google Scholar
  2. Demombynes, G., Elbers, C., Lanjouw, J. O., and Lanjouw, P. (2007) “How good a map ? Putting small area estimation to the test,” Policy Research Working Paper Series 4155, The World Bank.Google Scholar
  3. Elbers, C., Lanjouw, J.O., and Lanjouw, P. (2003) “Micro-level estimation of poverty and inequality,” Econometrica, Vol. 71, No. 1, pp. 355–364.CrossRefGoogle Scholar
  4. Elbers, C., Lanjouw, P., and Leite, P.G. (2008) “Brazil within Brazil: Testing the poverty map methodology in Minas Gerais”. Policy Research Working Paper 4513, The World Bank.CrossRefGoogle Scholar
  5. Emwanu, T., Hoogeveen, J.G., and Okiira Okwi, P. (2006) “Updating poverty maps with panel data,” World Development, Vol. 34, No. 12, pp. 2076–2088.CrossRefGoogle Scholar
  6. Lemieux, T. (2002) “Decomposing changes in wage distributions: a unified approach, Canadian Journal of Economics,” 35(4), 646–688.Google Scholar
  7. Lanjouw, P., Luoto, J., and McKenzie, D. (2011) “Using repeated cross-sections to explore movements in and out of poverty,” Policy Research Working Paper Series 5550, The World Bank.Google Scholar
  8. Tarozzi, A., and Deaton, A. (2009) “Using Census and Survey Data to Estimate Poverty and Inequality for Small Areas.” Review of Economics and Statistics. 91(4):773–992.CrossRefGoogle Scholar
  9. Van der Weide, R. (2008) “Updating Poverty Maps in the Philippines.” Mimeo, The World Bank.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2013

Authors and Affiliations

  • Gianni Betti
    • 1
    Email author
  • Andrew Dabalen
    • 2
  • Céline Ferré
    • 2
  • Laura Neri
    • 1
  1. 1.University of SienaSienaItaly
  2. 2.The World BankWashingtonUSA

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