- Explained Lessons 3.1 (Estimation) and 3.2 (Inference)
- Reviewed the practical materials: Exercise sheet #1, Weight vs. age for a sample of children and CEO compensation dataset (Wooldridge's ceosal2 dataset)
The goals for weeks 6-8 are:
- Finish working with the CEO compensation dataset by fitting a log-linear model. We will see how this helps when modeling nonnormal data
- Explaining Lesson 4.1 Discrete and semi-continuous regressors. Polynomial terms
- Modeling Wooldridge's "Beauty" dataset
- Solving part of the Exercise sheet #2 and Many least squares calculations done (almost) by hand
- Doing a partial exam (final date: April 10th)
