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.
Summative assessment: Assessed coursework (100%) to evaluate ILOs 1 to 4. Students will be given either a simulated or a real dataset and will have one week to complete a written document that reports their computations and interpretations of empirical results. The assessed coursework is meant to be a mini-dissertation, where students work individually on the provided dataset using the techniques and software introduced in the module. Students will be given a very broad economic question to be addressed based on evidence produced by combining economic models and the available data.
Formative assessment: Computer based group assignments. Each assignment is a practical problem set, and the outcome will be a written document where the students report their answers, including any table of results, figures, and computer codes.
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.