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Developing Poverty Maps to Improve Policies

Tuesday, March 14, 2006
12.30 - 2:00 pm
Room MC4-W150

Sponsor: Thematic Group on Poverty Impact Analysis, Monitoring and Evaluation
Presenter: Jennie Litvack, MNSED


The allocation of resources and the design of   policies tailored to local-level conditions require information disaggregated at the local-level. Data on poverty at the local level is typically not available because most household surveys used for poverty measurement are not representative passed the regional level. To address this and produce poverty data accurate at the local level, the World Bank has developed a statistical inference technique and tools that allow estimation for very small areas, by combining information from censuses and household surveys. The Small Area Estimation (SAE) method allows to compute poverty data at the finely disaggregated level most relevant for policy design.

PRMPR has initiated a work program to document the different types of policies which have been informed by poverty maps and draw lessons on the processes which promote the use of poverty maps. These lessons draw from the experience in 13 countries: Albania, Bolivia, Bulgaria, Cambodia, China, Ecuador, Indonesia, Kenya, Mexico, Morocco, South Africa, Thailand, and Vietnam.

During this BBL, Jennie Litvack will share with us the story of the poverty map in Morocco. She will discuss the process of preparation and dissemination of the analysis and the   policies which have been shaped by the poverty map. She will share lessons that she, as the task leader, learned from the experience.

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