Introduction To Small Area Estimation
Carolina Franco
November 1, 2024 – 1-5pm, 1430 ISR-Thompson/Zoom
The PDHP workshop series continues with Introduction To Small Area Estimation presented by Carolina Franco of NORC at the University Of Chicago. This half-day workshop is geared toward researchers and data analysts of all skill levels, and will introduce small area estimation as a technique for obtaining granular estimates from survey data in cases where survey sample sizes will typically not be sufficient for accurate estimates using traditional methods. Attendees will also be shown real-world examples of SAE in official statistics, social statistics, and public health, while also getting hands-on practice implementing SAE with state-of-the-art software using R.
Topics covered:
- Introduction to SAE and its potential benefits
- Real-world examples of SAE in official statistics, social statistics, and public health
- Introduction to the area-level and unit-level models
- Hands-on practice using R
Video:
Download the video of the workshop here.
Slides & Lab Materials:
Slides can be downloaded here.
Example R code and data can be downloaded here.
Recommended Software:
The workshop will provide examples in R and Stata, as configured below:
––R Studio (strongly recommended)
––Using the packages sae and emdi
––R packages can be installed using the following code
# install R packages (Diff-In-Diffs packages)
install.packages(c("sae","emdi"))