| Unit name | Econometrics 2 |
|---|---|
| Unit code | EFIM20036 |
| Credit points | 20 |
| Level of study | I/5 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Professor. Windmeijer |
| Open unit status | Not open |
| Pre-requisites |
Econometrics 1 |
| Co-requisites |
None |
| School/department | School of Economics |
| Faculty | Faculty of Social Sciences and Law |
Builds on material covered in Econometrics 1. Some new techniques will be covered, but the emphasis will shift towards applying Econometrics to problems in Economics. After revisiting the Linear Model, the lectures will introduce time series regression. It will provide an introduction to many of the applied techniques which are used in modern macroeconomics. This part of the course is taught by Sami Stouli.
After introducing heteroskedasticity and the Generalised/Weighted Least Squares estimator, the lectures will cover estimation and hypothesis testing in models for binary dependent variable models. These techniques are often used in estimating models from cross-section samples. Estimation and testing in linear models using panel data is covered next. This part of the course is taught by Frank Windmeijer.
You will find that understanding these techniques and being able to use them are essential in successfully completing the applied projects in the Applied Economics Dissertation.
At the end of the unit students will:
The course will be taught in the following format:
18h Lectures
4h of large group computer lab sessions (STATA Lab)
9h Exercise lectures (Students prepare STATA output which is discussed during the exercise lecture)
6h small group class sessions
The course will be assessed by a written 2 ½ hour closed book exam which counts 100% towards the mark of this unit. This will assess all learning outcomes.
