Small Area Estimation

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

• Be able to understand how the results of different methods should be interpreted
• Be able to understand the circumstances in which they are applicable
• Be familiar with commonly used methods for small area estimation
• Be able to understand the uses and limitations of different methods
• Be able to read and understand the official statistics literature on small area estimation

Motivation for small area estimation.

Data sources and auxiliary information.

The module is divided into two parts:

• Design-based methods for domain estimation and their limitations
• Model-based methods
• simple synthetic estimation
• nested error regression models for continuous variables
• area-level regression models for continuous variables
• methods for discrete variables
• methods making use of time series information

Lectures with integrated exercises and revisions to enhance understanding of the various methods. Computing lab to compare applications of the various methods.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.