Economerics

Contacts and Office hours

Office hours Thursdays 11h00-12h00, under appointment, Office 5003

Schedule

Class	Section	Schedule	Classroom
Lecture	All	Mondays, 15h30–16h50	525
Practical Session	International	Mondays, 17h00–18h20	525
Practical Session	National	Thursdays, 17h00–18h20	527
Practical Session	International	Thursdays, 14h00–15h20	526
Practical Session	National	Thursdays, 15h30–16h50	506

Calendar

Class	Topic	Practical sessions
1	Introduction to Simple Linear Regression	February 2 & 5
2	Introduction to R	February 6
3 & 4	Data Wrangling and Vizualization with R	February 9 & 12
5 & 6	Introduction to R	February 19 & 20
7	Introduction to Multiple Linear Regression	February 23 & 24

References

Stock, J. H. and M. W. Watson, Introduction to Econometrics (fourth edition), Pearson, 2020.

Wooldridge, J. M., Introductory Econometrics, Thomson

Assessment

The final grade for this course will be a weighted average of the following elements:

Midterm: 35%
Endterm: 35%
7 Problem sets: 20%
Research project: 10%

The necessary requisites to be admitted to the final exam are the following:

final grade above 9.5 and
midterm exam and endterm exam grades above 6.

The final exam will cover the entire course’s program. The exam is closed book. A final exam grade below 9.5 will result in the student failing the course.

Participation is strongly encouraged: while not directly granting points in the grade, it can be used to assess border situations.

Students who pass the course may take the final exam (\(FE\)) to improve their final grade (\(FG\)), in which case the course grade (\(CG\)) will be determined by: \[ CG = \max (0.5 FE + 0.5 FG, 10) \]

Please check the class syllabus for further details.