Small area estimation
Date:
16/03/2020 - 20/03/2020
Organised by:
University of Southampton
Presenter:
Prof. Danny Pfeffermann and Dr. Angela Luna
Level:
Advanced (specialised prior knowledge)
Contact:
For more information and registration, contact Dr. Angela Luna at A.Luna.Hernandez@soton.ac.uk
Description:
Estimation of indicators at low levels of aggregation using survey data may be inaccurate or unfeasible due to small sample sizes. This course aims to provide you with an overview and a broad understanding of the methods developed in the field of Small Area Estimation (SAE) to address this issue, their motivation and applications. Examples of topics discussed are: Design vs Model-based estimation; Synthetic estimation; area-level and unit-level regression models for continuous outcomes; models for SAE of discrete responses; and use of time series data for SAE. Lectures will be complemented with exercise sessions and computer workshops in R.
Previous knowledge of Survey Sampling and Regression methods is assumed. Typically, students would be familiar with the linear and logistic regression models, as well as the principles of survey sampling design and design-based estimation. For examples of syllabus for suitable prerequisites, see: https://www.southampton.ac.uk/courses/modules/stat6093.page and https://www.southampton.ac.uk/courses/modules/stat6095.page
Cost:
£800
Website and registration:
https://www.southampton.ac.uk/courses/modules/stat6106.page
Region:
South East
Keywords:
Small Area Estimation, Survey estimation , Model-based estimation
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