| 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 Empirical 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. Making inference based on Granger causality and innovation accounting.
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 14 | 1:00 | 14:00 | PiP lectures |
| Guided Independent Study | Assessment preparation and completion | 1 | 20:00 | 20:00 | N/A |
| Guided Independent Study | Directed research and reading | 1 | 32:00 | 32:00 | N/A |
| Scheduled Learning And Teaching Activities | Small group teaching | 6 | 1:00 | 6:00 | PiP seminars |
| Guided Independent Study | Independent study | 1 | 28:00 | 28:00 | N/A |
| Total | 100:00 |
Lectures will be used to develop the key material required to undertake time-series econometric analysis. The small group 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. These small group seminar sessions are essential to cementing understanding in allowing discussion and further exploration of the derivations and econometric techniques introduced in lectures.
The format of resits will be determined by the Board of Examiners
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 120 | 1 | A | 100 | Invigilated exam. If PiP activity is problematic, will be 24-take home paper. |
| 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. |
The formative assessment component centres around the seminar problem solving exercises, providing a focal point for discussion, and feedback on students' understanding of topic content.
The final written exam tests the overall knowledge learnt and allows students' to demonstrates their ability in applying the econometrics skills to a range of problems. Using a timed invigilated examination environment is best suited to testing the understanding of the mathematical and statistical techniques employed in the module, and hence is used to ensure learning objectives are met.
In the case of an alternative assessment for semester 1 (100% of the module mark) being necessary due to circumstances, the Module Leader will in discussion with the DPD and the University, discuss possible acceptable online alternatives, such as a take home exam delivered online with a set time limit to complete (24 hours or less as deemed appropriate).
N/A
Disclaimer: The information contained within the Module Catalogue relates to the 2022/23 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 2023/24 entry will be published here in early-April 2023. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.