| Semester 1 Credit Value: | 10 |
|---|---|
The module seeks to:
- explain how econometrics have been used and can be used to test theories in applied economic literature
- provide a comprehensive set of technical skills necessary to pursue certain types of empirical research in economics.
- offer the opportunity to develop some key quantitative skills that are highly valued in the private sector.
Original Summary:
The module comprises of three thematic units to cover the essential material from probability theory, data description and hypothesis testing, and regression analysis with particular focus on analysis of cross-sectional data.
Probability Theory, Expectations Operator, Hypothesis Testing, Regression Analysis, Cross-sectional data analysis
| Category | Activity | Number | Length | Student Hours | Academic Staff Contact Hours | Comment |
|---|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 14 | 1:00 | 14:00 | 14:00 | N/A |
| Scheduled Learning And Teaching Activities | Practical | 1 | 2:00 | 2:00 | 2:00 | N/A |
| Scheduled Learning And Teaching Activities | Small group teaching | 2 | 1:00 | 2:00 | 12:00 | N/A |
| Guided Independent Study | Independent study | 1 | 82:00 | 82:00 | 0:00 | N/A |
| Total | 100:00 | 28:00 |
-Lectures provide the fundamental technical structure of the methods introduced and an overview of the essential empirical economic and fincancial modelling methods
- Seminars provide an opportunity to enhance both theoretical and practical aspects of modelling
- Workshops provide hands-on computer based experience of modelling exercises.
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 120 | 1 | A | 100 |
Written exam to assess the theoretical and empirical approach to econometrics.
Reassessment will be 100% exam.