Econometric Theory II (10cr)
| Code | School | Level | Credits | Semesters |
| ECON2050 | Economics | 2 | 10 | Spring UK |
- Code
- ECON2050
- School
- Economics
- Level
- 2
- Credits
- 10
- Semesters
- Spring UK
Summary
This module introduces students to a range of statistical techniques that can be used to analyse the characteristics of univariate economic time series. The basic theoretical properties of time series models are discussed and we consider methods for fitting and checking the adequacy of empirical time series models. Methods of forecasting future values of economic time series are then considered.
Target Students
Available for Year 2 Undergraduate students on Economics degree programmes who have taken ECON2049 Econometric Theory I, including students on the BA Hons Politics and Economics degree. Also available for Economics Exchange students.
Co-requisites
Modules you must take in the same academic year, or have taken in a previous year, to enrol in this module:
Classes
This module is delivered through a series of lectures and tutorials.
Assessment
- 100% Exam1 (2-hour): Exam.
Assessed by end of spring semester
Educational Aims
There are three specific aims for this module:To provide the necessary background techniques needed to analyse the behaviour of time series processes.To develop the analytical skills required to characterize the theoretical properties of different time series processes.To provide a sound understanding of the applicability and limitations of the univariate time series methodology as a means for empirical modelling and producing forecasts of economic time series.This module helps students to develop digital capabilities and how to apply mathematical, statistical and graphical techniques in an appropriate manner.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.
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.