Skip to main content

Updating Poverty Maps Between Censuses: A Case Study of Albania

  • Chapter
  • First Online:
Poverty and Exclusion in the Western Balkans

Part of the book series: Economic Studies in Inequality, Social Exclusion and Well-Being ((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.

The findings, interpretations, and conclusions expressed in this chapter are those of the authors and do not necessarily reflect the views of the International Bank for Reconstruction and Development/the World Bank and its affiliated organizations or those of the Executive Directors of the World Bank or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of the World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Geographic subregions that are subdivided, merged, disappear, or are being created.

  2. 2.

    Due to the limitation of the time-invariant characteristics common to both census and LSMS data, we did not reproduce the exercise with the 2008 LSMS.

  3. 3.

    These surveys are stratified at the region or state level, as well as for rural and urban areas. Within each region there are further levels of stratification, and also clustering. At the final level, a small number of households (a cluster) are randomly selected from a census enumeration area.

  4. 4.

    All the separate strata level regression models and the poverty and inequality estimates at commune level are available from the authors upon request.

References

  • Betti, G., Ballini, F., and Neri, L. (2003) “Poverty and Inequality Mapping in Albania,” Background Report for The World Bank.

    Google Scholar 

  • 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 

  • Elbers, C., Lanjouw, J.O., and Lanjouw, P. (2003) “Micro-level estimation of poverty and inequality,” Econometrica, Vol. 71, No. 1, pp. 355–364.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Lemieux, T. (2002) “Decomposing changes in wage distributions: a unified approach, Canadian Journal of Economics,” 35(4), 646–688.

    Google Scholar 

  • 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 

  • 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.

    Article  Google Scholar 

  • Van der Weide, R. (2008) “Updating Poverty Maps in the Philippines.” Mimeo, The World Bank.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gianni Betti .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Betti, G., Dabalen, A., Ferré, C., Neri, L. (2013). Updating Poverty Maps Between Censuses: A Case Study of Albania. In: Ruggeri Laderchi, C., Savastano, S. (eds) Poverty and Exclusion in the Western Balkans. Economic Studies in Inequality, Social Exclusion and Well-Being, vol 8. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4945-4_5

Download citation

Publish with us

Policies and ethics