This paper compiles granular population data for the Philippines and Thailand, demonstrating cost-effective ensemble methods that can support public sector planning.
This brief identifies key elements for capitalizing on administrative data sources to monitor development indicators on labor and employment, with examples of initiatives in selected countries in Asia and the Pacific.
This study outlines a computational framework to enhance the spatial granularity of government-published poverty estimates, citing data from the Philippines and Thailand.
This study examines an alternative approach in estimating poverty by investigating whether readily available geospatial data can accurately predict the spatial distribution of poverty in Thailand.
This publication examines the ability and readiness of national statistical agencies in Asia and the Pacific to use big data to monitor progress toward the Sustainable Development Goals.