| Semester 1 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| Code | Title |
|---|---|
| ECO2009 | Econometric Analysis |
Empirical Economics Analysis provides a foundation to the material developed in this module.
N/A
To provide an introduction to modern time-series econometrics techniques. This would give students the econometrics tools required to undertake analysis of economic data as part of a dissertation, and particularly useful to career choices involving modelling data which has a long time-horizon.
1. Stationary univariate models
2. Unit roots and cointegration
3. Multivariate time series models
The module develops the basic econometric skills introduced in the ECO2009 Emprical Economic Analysis module. Most macroeconomic and financial variables have a long time ‘domain’, as their key feature. This module will build an appreciation for the techniques required to deal with this style of economic data. It will prepare students for undertaking an applied dissertation project, and/or provide a solid foundation for pursuing careers where the analysis of macroeconomic and financial time-series data is required.
1. Modelling economic time-series (both univariate and multivariate)
2. Understanding issues of autocorrelation, heteroskedasticity and non-stationarity for time-series data.
3. Producing reliable inference from time-series data series which might suffer from the issues described in (2).
4. Critically assessing time-series model adequacy, fit and forecasting performance..
| Graduate Skills Framework Applicable: | Yes |
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 1 | 31:00 | 31:00 | N/A |
| Scheduled Learning And Teaching Activities | Lecture | 14 | 1:00 | 14:00 | N/A |
| Guided Independent Study | Directed research and reading | 1 | 25:00 | 25:00 | N/A |
| Scheduled Learning And Teaching Activities | Small group teaching | 5 | 1:00 | 5:00 | N/A |
| Guided Independent Study | Independent study | 1 | 25:00 | 25:00 | N/A |
| Total | 100:00 |
Lectures will be used to develop the key material required to undertake basic time-series analysis. The seminar sessions will be based around problem sets, designed to enforce the material introduced in lectures, which the students will get formative feedback on during class.
The format of resits will be determined by the Board of Examiners
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 120 | 1 | A | 75 | N/A |
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Written exercise | 1 | M | 25 | In-class test |
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Prob solv exercises | 1 | M | Problem sets will be considered in the seminar sessions, where answers will be explained and expanded upon. |
In order to cement the understanding of key concepts introduced in the initial lectures, an in-class test will provide summative feedback to students on their progress.
The final exam tests the overall knowledge learnt and allows students' to demonstrates their ability in applying the econometrics skills to a range of problems
N/A
Disclaimer: The information contained within the Module Catalogue relates to the 2018/19 academic year. In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described. Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2018/19 entry will be published here in early-April 2018. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.