ECO2009 : Econometric Analysis
- Offered for Year: 2024/25
- Module Leader(s): Dr Chris Walsh
- Co-Module Leader: Dr Lena Janys
- Owning School: Newcastle University Business School
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 10 |
| Semester 2 Credit Value: | 10 |
| ECTS Credits: | 10.0 |
| European Credit Transfer System | |
Aims
The course Econometric Analysis provides students with a grounding in basic econometric methods. The techniques learnt in the course are part of an economist's essential 'tool kit'. It will provide students with an understanding of the basic techniques of multiple regression analysis and enable them to interpret and critically evaluate the results of empirical research in economics.
Outline Of Syllabus
The topics in semester 1 concentrate on single and multiple equation regression models and the application of Ordinary Least Squares (OLS) regression analysis:
1. Ordinary Least Squares (OLS) Model: Background and Estimation
2. Assumption of the OLS model
3. Properties of the OLS model: Unbiasedness and Efficiency
4. Hypothesis Testing
5. Goodness of Fit and Analysis of Variance
6. Functional Forms of Regression Models
7. Multiple Regression Analysis
8. Dummy Variables
The topics in semester 2 concentrate on the implications of OLS regression analysis when the assumptions of the OLS model (covered in semester 1) are relaxed. An understanding of the semester 1 material is therefore essential to the understanding of the material to be covered in semester 2:
9. Model Specification
10. Heteroscedasticity
11. Autocorrelation
12. Introduction to Time Series Analysis
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 28 | 1:00 | 28:00 | PiP lectures |
| Scheduled Learning And Teaching Activities | Small group teaching | 5 | 1:00 | 5:00 | PiP seminars |
| Scheduled Learning And Teaching Activities | Workshops | 3 | 1:00 | 3:00 | PiP computer workshops |
| Guided Independent Study | Independent study | 1 | 164:00 | 164:00 | Reading, enhancing lecture notes, seminar and workshop preparation, group project work, revision. |
| Total | 200:00 |
Teaching Rationale And Relationship
Lectures provide the basic technical structure of the methods introduced and an overview of the basic empirical modelling methods.
Small group teaching provide an opportunity to enhance both theoretical and practical aspects of modelling.
Workshops provide computer based experience of modelling exercises.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 120 | 2 | A | 70 | N/A |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Report | 2 | M | 30 | 2000 word group report - data and questions provided |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Prob solv exercises | 1 | M | Seminar questions provided |
| Prob solv exercises | 2 | M | Seminar questions provided |
Assessment Rationale And Relationship
The group project is undertaken in semester 2 and completed towards the end of the course, reinforces computer skills, develops teamwork and aids final preparation for the unseen examination.
The examination tests understanding of the theoretical modelling elements of the course as well as that of empirical modelling methods. It is the appropriate way of assessing theoretical knowledge. Alternative examination of 24 hour online take-home exam in the event of in-person assessments not taking place.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- ECO2009's Timetable