Virtual Training on Data Disaggregation and Small Area Estimation for SDG Indicators (18-24 April 2023)

From 18 to 24 April, the FAO Regional Office for Europe and Central Asia, in collaboration with the Office of the Chief Statistician in HQ, organized a virtual training to introduce statisticians and data analysts from Armenia, Georgia, Kyrgyzstan, and Moldova to small area estimation techniques.

The expected outcomes of the training were the following:

• Clarify the importance of data disaggregation in the context of the SDG monitoring framework.
• Discuss the main challenges posed by data disaggregation for SDG indicators having surveys as their main data sources and illustrate the available methodological and practical solutions.
• Introduce the main SAE approaches available and discuss basic unit and area level SAE models.
• Provide practical examples based on SDG indicators under FAO custodianship, showcasing the use of selected R packages to implement SAE techniques.
• Identify technical assistance needs of invited institutions for the implementation of future targeted activities on SAE for SDGs or other national priority indicators.

All presentations can be accesses here:

• Preliminary session: R and Rstudio Installation and Introduction
• Data Disaggregation and Small Area Estimation for SDG Indicators
• Direct and indirect estimation with R
• Training on Data Disaggregation and Small Area Estimation: Objectives of day 2
• Small Area Estimation with Area Level Models
• Area level SAE models with R
• Direct and indirect estimators for data disaggregation of SDG indicators
• Training on Data Disaggregation and Small Area Estimation for SDG Indicators: Objectives of day 3
• Small Area Estimation with Unit Level Models
• Training on Small Area Estimation: Objectives of day 4
• Unit level SAE models with R
• The Moldovan Household surveys