18 Janeiro 2022, 19:05 • Hugo Castro Silva
Homework II is now available.
Please register your groups, read the assignment/rules file, and download the dataset assigned to your group.
12 Dezembro 2021, 22:14 • Hugo Castro Silva
5 Dezembro 2021, 21:14 • Hugo Castro Silva
I have updated the slides for Ch. 6 (Causality) with minor, but important, changes. Please download the new version.
I have also uploaded the slides for the next lecture, on using pooled cross sectional data for policy analysis and evaluation. Please bring the slides with new for our next class.
Additionally, I have uploaded slides on binary dependent variable models. While we won't cover this subject in the lectures, binary dependent variable models are the focus of this week's lab. I highly recommend that you go through these slides before the lab session, as we won't have time to cover this in the lectures.
Note that this subject is just as important as the subjects covered in the lectures, but we are relying (and testing) your autonomy to learn.
30 Novembro 2021, 21:24 • Hugo Castro Silva
From next week on, Tuesdays' lab 16h00-17h30 will take place in classroom 1.3, instead of 1.11.
See you next week,
4 Novembro 2021, 13:29 • António Sérgio Constantino Folgado Ribeiro
The Homework I is already available.
Please join in groups of 3 students and register in fenix. Once you register, a group number will be assigned. The group number will identify the dataset you will use.
Therefore, you cannot start your HW without a group. Be fast with that task.
The evaluation will take into account six (6) key factors:
Set a general research question in a topic related to the dataset (2 points out of 20)
Data set construction and description (3 points out of 20)
Data analysis and answering the research question properly (6 out of 20)
Interpretation and explanation of the models (5 out of 20)
Conclusions (2 out of 20)
Go beyond the question and be creative (2 out of 20)
Deadline: Wednesday, November 17th, 11:55PM.
Page limit: 10.
Late submission penalties:
1 day delay: -4 points (maximum grade 16)
2 days delay: -8 points (maximum grade 12)
3 days delay: -10 points (maximum grade 10)
All the best,
António Sérgio Ribeiro