Duration
30h Th, 15h Pr
Number of credits
| Master in economics : general (120 ECTS) | 6 crédits |
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course presents a large overview of useful econometric tools when dealing with panel data. Rather than being technical, the course takes a hands-on approach and focuses on the intuition of the approaches used in the literature.
Learning outcomes of the learning unit
In coherence with the following key learning outcomes: 1, 2, 3, 6, 11 and 12
- Learn to work in a small team to write a research project.
- Experience all the steps of a research project from the definition of a research question to the search of data or the writing of a report.
- Devise creative solutions to tackle the issue of identification.
- Improve oral and written communication for a specialized and general audience.
- Develop an intellectual curiosity for a topic of choice.
- Gain further experience in using stata and latex.
Prerequisite knowledge and skills
Mastering basic statistical tools.
Planned learning activities and teaching methods
Interactive lectures are taught in class and exercise sessions in the computer lab.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face lectures and tutorials.
Students are asked to proactively participate during the lectures and tutorials.
Recommended or required readings
Angrist and Pischke (2015), Mastering metrics : The path from cause to effect, Princeton University Press.
Cameron and Trivedi (2010), Microeconometrics using Stata, Stata Press. (recommended)
Wooldridge (2002), Econometric analysis of cross section and panel data, MIT Press.
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions ) AND oral exam
Written work / report
Continuous assessment
Out-of-session test(s)
Additional information:
Any session :
- In-person
written exam AND oral exam
- Remote
oral exam AND written work
- If evaluation in "hybrid"
preferred in-person
Additional information:
Written exam.
End term paper and class presentations.
Class participation is also important.
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Professor: Barnabe Walheer Office N3a - 1/11 Email: barnabe.walheer@uliege.be