| Unit name | Mathematical and Statistical Methods 2 |
|---|---|
| Unit code | EFIM10009 |
| Credit points | 20 |
| Level of study | C/4 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Dr. Proud |
| Open unit status | Not open |
| Pre-requisites |
Mathematical and Statistical Methods 1 |
| Co-requisites |
None |
| School/department | School of Economics, Finance and Management |
| Faculty | Faculty of Social Sciences and Law |
This unit introduces and develops mathematical and statistical techniques used extensively in economics and finance. It covers topics such as matrices, dynamic systems, integration, OLS, diagnostic testing.
Students will be able to:
1. Express economic problems in formal mathematical notation.
2. Perform simple matrix algebra and manipulations on matrices such as finding determinants, inverses and rank.
3. Demonstrate an awareness of what constitutes a logical exposition or argument.
4. Use the various mathematical techniques discussed in the unit to analyse economic problems.
5. Demonstrate an understanding of multiple regression, hypothesis testing and some problems such as omitted variables bias.
35 Lectures/Exercise Lectures
10 tutorials
Summative assessment:
3-hour examination at the end of the relevant teaching block worth 100%. This tests all the learning outcomes.
Formative Assessment:
For the mathematics part, students will complete 3 short assignments (1 on each of the 3 maths topics). These are 50-minute tests, with no notes or calculator, comprising of 10 small exercise questions each. These assignments will be marked and returned to students in the tutorials.
For the statistical part, students will have to complete exercises for tutorial classes.
Sydsaester, K. and Hammond, P., Essential Mathematics for Economic Analysis, Prenctice Hall.
Stock J. and Watson M. (2007) Introduction to Econometrics 3rd edition Pearson Education, New York
Gujarati D. and D. Porter (2010) Essentials of Econometrics (4th Edition) McGraw Hill Irwin
