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 |
EFIM10023 Mathematics for Economics AND OR MATH10013 Probability and Statistics |
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:
Teaching will be delivered through a combination of synchronous and asynchronous sessions such as online teaching for large and small group, face-to-face small group classes (where possible) and interactive learning activities
MCQs (best 2 out of 3) (20%)
2 tutorial assessments (20%)
Examination (1.5 hour) (60%)
Formative: Students must submit credible attempts at least 3 out of 5 formative assessments for Credit Points to be awarded.
Introduction to Econometrics by J. Stock and M. Watson.
Introduction to Econometrics by J. Wooldridge.