Pre-Sessional Econometrics
| Code | School | Level | Credits | Semesters |
| ECON4038 | Economics | 4 | N/A | Autumn UK |
- Code
- ECON4038
- School
- Economics
- Level
- 4
- Credits
- N/A
- Semesters
- Autumn UK
Summary
The module provides a basic introduction to the concepts of probability, statistics and matrix algebra that are used in econometric theory and in economic data analysis. The module covers the following material:
- Probability Theory (Probability, Random variables, Distributions, Independence)
- Statistics (Estimation, Inference, Hypotheses testing)
- Regression (Simple regression, Multiple regression with matrix notation).
Target Students
Available for MSc students in the School of Economics.
Classes
Intensive block of classes at start of semester one.
Assessment
- 100% Overall
Assessed by end of designated period
Educational Aims
The module aims to provide students with the necessary background to study econometric theory and/or economic data analysis. The module is compulsory for MScstudents.Learning Outcomes
On completing this module, the learning outcomes are such that students will be able to:
A4 Show understanding of relevant mathematical and statistical techniques.
D1 Apply mathematical, statistical and graphical techniques in an appropriate manner.
Conveners
Last updated 07/01/2025.