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 | Dr. Polisson |
Open unit status | Not open |
Pre-requisites |
For 2019/20: For 2020/21 Mathematics for Economist and Probability, Statistics and Econometrics 1 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:
The course will be taught in the following format:
18h Lecture
9h Exercise lectures
4h of large group computer lab sessions
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. The exam assesses all learning outcomes.
Introduction to Econometrics by J. Stock and M. Watson.
Introduction to Econometrics by J. Wooldridge.