Econometric Theory I (10cr)
| Code | School | Level | Credits | Semesters |
| ECON2049 | Economics | 2 | 10 | Autumn UK |
- Code
- ECON2049
- School
- Economics
- Level
- 2
- Credits
- 10
- Semesters
- Autumn UK
Summary
This module generalizes and builds upon the econometric techniques covered in the Year I module, Mathematical Economics and Econometrics. This will involve introducing a number of new statistical and econometric concepts, together with some further development of the methodology that was introduced in Year I. The multivariate linear regression model will again provide our main framework for analysis.
Target Students
Available for Year 2 Undergraduate students on Economics degree programmes who have taken ECON1044 Mathematical Economics and Econometrics, including students on the BA Hons Politics and Economics degree. Also available for Part I Maths and Economics degree students and Economics Exchange students without ECON1044.
Classes
This module is delivered through a series of lectures and tutorials.
Assessment
- 100% Exam (2-hour): Exam
Assessed by end of autumn semester
Educational Aims
There are three specific aims for this module:To provide the necessary mathematical and statistical tools needed to conduct theoretical econometric analysis at an advanced level.To develop the analytical skills required to demonstrate the theoretical properties of different econometric estimation and testing procedures under various modelling assumptions.To provide a sound understanding of the applicability and limitations of the multivariate linear regression model as a vehicle for econometric analysis for economic data.Learning Outcomes
On completing this module, the specific learning outcomes are such that students will be able to:
- Demonstrate an understanding of the theoretical properties of econometric models.
- Identify the appropriate techniques for econometric modelling of economic data.
- Formally assess the validity and adequacy of fitted econometric models.
The generic learning outcomes for this module are such that students will be able to:
Knowledge and Understanding
• A5 Show understanding of relevant mathematical and statistical techniques.
Intellectual skills
• B3 Be able to evaluate, analyse and present quantitative data.
Professional/Practical Skills
• C2 Understand the sources and content of economic data and evidence, as well as appropriate methods of analysis.
Transferable/Key Skills
• D1 Apply mathematical, statistical and graphical techniques in an appropriate manner.