| Unit name | Econometrics beyond the mean |
|---|---|
| Unit code | EFIMM0096 |
| Credit points | 15 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Dr. Stouli |
| Open unit status | Not open |
| Pre-requisites |
ECONM1022 Econometrics |
| Co-requisites |
Nil |
| School/department | School of Economics |
| Faculty | Faculty of Social Sciences and Law |
The aim of this unit is to introduce students to some modern micro econometric techniques, including a range of recent methods in the econometric analysis of the distributional impact of a policy or treatment. These techniques are used for the modelling of heterogenous effects in economic analysis.
The topics include heterogenous effects, quantile regression, distributional regression and causal modelling. The unit aims to build in students the ability to know, apply, and evaluate these tools and to implement them when undertaking novel research.
At the end of the course, students will be able to:
1. Demonstrate knowledge and understanding of econometric models incorporating heterogeneity in individual and policy effects.
2. Use quantile regression and distributional regression methods in their research and work.
3. Demonstrate knowledge and understanding of econometric properties of quantile regression and distributional regression methods.
4. Access the journal articles in the discipline, evaluate them critically and start independent research projects involving some recent econometric techniques.
This unit provides a thorough and in-depth treatment of the basic concepts and methods in micro econometrics and distributional modelling.
Summative assessment:
2 hour written exam (100%). The exam will address ILO 1 to 4.
Formative assessment:
Worked exercises, class participation and discussion in exercise lectures. These will provide further opportunities for feedback on the students’ progress.
J. Angrist & J.S. Pischke (2009), Mostly Harmless Econometrics, Princeton.
A. Cameron & P. K. Trivedi (2012), Microeconometrics. Methods and Applications, Cambridge.
R. Koenker (2005), Quantile Regression, Cambridge.
M. Verbeek (2012), A Guide to Modern Econometrics, (Fourth Ed.), J. Wiley and Sons.
