Unit name | Empirical Industrial Organisation |
---|---|
Unit code | EFIMM0097 |
Credit points | 15 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Dr. Alessandro Iaria |
Open unit status | Not open |
Pre-requisites |
ECONM1010 Microeconomics, ECONM1022 Econometrics |
Co-requisites |
Nil |
School/department | School of Economics |
Faculty | Faculty of Social Sciences and Law |
At the end of the course, students will be able to:
1) Synthesise and critically assess economic theory and econometric methods in order to translate models of industrial economics into statistical models.
2) Estimate models of industrial economics using the appropriate software.
3) Generate counterfactual economic predictions in industrial economics.
4) Evaluate and interpret empirical results and predictions to make policy and market recommendations.
Teaching will be delivered through a combination of synchronous and asynchronous sessions such as online teaching for large and small group, face-to-face small group classes (where possible) and interactive learning activities
Coursework
1) “Microeconometrics, Methods and Applications.” A. C. Cameron and P. K. Trivedi, Cambridge University Press, 2005.
2) “Microeconometrics Using STATA.” A. C. Cameron and P. K. Trivedi, Stata Press, 2009.