Programme overview:
The Course will be held in C 360.
Take the elevator in building C to the third floor. The room is the first one on the right after passing the glas door straight ahead.
Time | Monday, 15th August | Tuesday, 16th August |
---|
9:00-10:30 | Starting with R - Use of menus and help
- Basic operations and R functions
- Types of R objects
- Creation and manipulation of objects
| Model-assisted estimators: - GREG estimator
- Grouped GREG estimator
Application with Spanish data on Living Conditons, and comparision with the other estimators at hand via a small Monte-Carlo study. |
10:30-11:00 | Coffee - Break | Coffee - Break |
11:00-12:30 | Starting with R - Data generation
- Basic statistical summaries
- Basic plotting functions
- Manipulating data files
- Writing functions in R
- Loops and conditions
| Model-based estimators: - Fay-Herriot model
- MSE estimation
Application with Spanish data on Living Conditons. |
12:30-14:00 | Lunch - Break | Lunch - Break |
14:00-14:45 | Traditional small area estimators Application with Spanish data on Living Conditons. | Model-based estimators: - Nested error linear regression model
- MSE estimation
Application with Spanish data on Living Conditons. |
14:45-15:00 | Coffee - Break | Coffee - Break |
15:00-15:45 | Traditional small area estimators - Post-stratified synthetic estimators
Application with Spanish data on Living Conditons. | Extensions for binary variables: - LGREG
- Nested error logit model
Application with the AMELIA data set. |
15:45-16:15 | Coffee - Break | Coffee - Break |
16:15-17:30 | Traditional small area estimators - Composite estimators
- Discussion
Application with Spanish data on Living Conditons | Model-based estimators - EB method for poverty estimation
- Parametric boostrap MSE estimation
- Discussion
Application with Spanish data on Living Conditons. |
Aim and Scope
The main objective of the ISI / IASS Short course is to offer an application-oriented view on Small Area Statistics. The aim is to show how Small Area problems can be approached, implemented and solved with R. The course includes design based methods and Small Area estimators such as Fay-Herriot- and Battese-Harter-Fuller estimator. Furthermore, advanced methods are also considered, such as poverty measures, spatial modeling, and logistic models.