Small Area Estimation

Catalog description

This course provides an overview of applications in small areas population estimation techniques used in public policy, business and academia, including case studies from the United States and other international programs. In particular, the course considers the growing needs of the public and private sector and non-profit organization to produce and disseminate quality disaggregated data on population that support public policy programming and business planning. It considers small area data sources and different methodological approaches to small area estimation. Building from relevant policy examples, students will conduct a review of classical design-base approaches and apply indirect and inference techniques using auxiliary information. Students will recognize, identify and apply, with diverse types of demographic and socio-economic data, small area estimation methods, using open source and/or available software. From these insights, students will also compare case studies based on data disaggregation and Big Data Analytics.