Course Outline
The course aims to review the main Small Area Estimation Methods. The first part of the course will be devoted to reviewing the classical inference approach. Then, the main Small Area Predictors based on Small Area models will be introduced with some examples for estimating poverty indicators at the local level. Moreover, a practicum on how to apply basic small area estimation methods in R is proposed.
Files description
Slides + comments: folder containing the pdf presentation and the comments to the slides
Practicum: folder containing the application with R and the corresponding data
Quiz: multiple choice quiz to be used for evaluation