Duration
30h Th, 15h Pr
Number of credits
| Master in economics : general (120 ECTS) | 5 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
This course is a direct extension of the course in advanced econometrics. It focuses on the issue of identification which is crucial in the context of the evaluation of public policies, and more widely in making causal inferences among two variables. 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
- Know the main quantitative techniques used to evaluate policies
Prerequisite knowledge and skills
Mastering the learning outcomes of a first advanced econometric course
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)
Outside of face-to-face class hours, the online platform is used to communicate between students and with the lecturers in order to make the content open to all those following the course. This is done in order to facilitate cross-learning and encourage a cooperative approach among students.
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.
Assessment methods and criteria
End term paper and class presentations. The paper is written in a team of 2 students but is assessed individually throughout an individual examination.
Work placement(s)
Organizational remarks
Contacts
Professor: Barnabe Walheer Office B. 31 - 1.47 Email: barnabe.walheer@uliege.be