| Unit name | Econometrics 1 |
|---|---|
| Unit code | EFIM20011 |
| Credit points | 20 |
| Level of study | I/5 |
| Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
| Unit director | Professor. Jolivet |
| Open unit status | Not open |
| Pre-requisites |
Mathematical and Statistical Methods 1 and Mathematical and Statistical Methods 2 or Probability 1 (MATH11300) or Statistics 1 (MATH11400) |
| Co-requisites |
None |
| School/department | School of Economics |
| Faculty | Faculty of Social Sciences and Law |
After a refresher in probability and statistics, this course will be split into two main sections. First, we will study tools to conduct a descriptive analysis and describe the statistical relationship between variables in the data. These methods will revolve around the OLS estimator.
In the second part of the course, we will learn how to conduct a causal analysis. We will introduce and study the IV estimator and then discuss general evaluation problems in experimental and non-experimental settings.
At the end of the unit students will show:
1. a good understanding of the OLS regression methodology (what it does, its strengths and weaknesses, how to use it to test economic hypotheses);
2. a good understanding of IV and more general evaluation methods;
3. the ability to read and interpret economics articles which use standard econometric methods.
35 lectures (including exercise lectures and assignment lectures).
5 classes.
Summative Assessment:
This is a two and a half hour closed book exam.
Formative Assessment:
Prepare questions for classes and exercise lectures.
Two assignment lectures (where the assignment is written in the lecture).
Introduction to Econometrics by J. Stock and M. Watson.
Introduction to Econometrics by J. Wooldridge.
