- Explained Lessons 1-2
- Provided an introduction to Gretl, using mainly the dataset: Simulated data
The goals for weeks 3-5 are:
- Explaining Lessons 3.1 (Estimation) and 3.2 (Inference)
- Reviewing the practical materials Many least squares calculations done (almost) by hand and Weight vs. age for a sample of children
- We will do some applied work with the CEO compensation dataset (Wooldridge's ceosal2 dataset)
If you have not done it yet, I suggest you to subscribe to these posts by filling the box SUSCRIPCIÓN POR E-MAIL that you see at the right-hand-side column.
Activities:
Revise some basic concepts of previous courses:
- Algebra: matrices and vectors, linear equations, matrix operations, inverse of a matrix
- Statistics: descriptive statistics (mean, variance, correlation,...), estimation, hypotheses testing
Download PQRS from this website. This free software does some useful things, among them, it substitutes statistical tables. PQRS does not need installation: you just download the .zip file, decompress it in any folder and run it "as is"
Solve the Exercise sheet #1
Graded personal homework
Send an e-mail to this address (last day for delivery: Friday 8th February). This message should:
- Summarize the results of previous activities
- Describe any doubts about the topics explained in class
- Write a 400 words approx. summary of your personal analysis of the CEO compensation dataset