The HDN Social Safety Nets Team was pleased to sponsor a presentation by
Ruslan Yemtsov
and
Phillippe Leite
Over FY10, the HDNSP Social Safety Nets Team piloted the Social Protection Atlas (SPA) for 20 countries from LAC, 17 from ECA, 2 from AFR, 2 from SAS, 1 from EAP and 5 from MENA. The SPA provides nation-wide assessment of the incidence and impact of the social protection system and its elements using official representative household survey data, processed into comparable and harmonized datasets. SPA works as a benchmark for social protection programs across countries and across time, providing an open and simple format to access data for policymakers, civil society, World Bank staff and other stakeholders. In addition, it can also be used to initiate the dialogue with statistical offices for improving household data collection on social protection programs.
For each included country, the SP Atlas will provide:
- 15 standardized tables and 3 graphs that allow benefit incidence analysis (BIA) and targeting accuracy (TA) analysis of existing social protection programs in the country.
- A dictionary and ready to go database with key variables such as: welfare aggregates, poverty line and social protection programs.
In addition, the SPA combines the main indicators of each country in a single comparative data set that allows the production of cross-country analysis of social protection interventions. Key indicators in the benchmarking include: coverage rate, benefit incidence, generosity, program-specific impact on poverty and cost-benefit ratios.
 Download the Presentation (855kb pdf)
View the Recorded On-line Broadcast
About the Presenters
Ruslan Yemtsov is currently a Lead Economist in the Social Protection unit in the Human Development Network. Before joining the network team, he worked as Lead Economist at the Social and Economic Development Group, Middle East and North Africa Region.
Phillippe Leite is currently an Economist in the Social Protection unit in the Human Development Network. Before joining the network team, he worked for the Development Research Group on determinants of poverty and inequality, poverty map methodology, evaluation and design of social safety-nets programs for poor families, and micro-econometric simulation models.
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