ECO2009 : Econometric Analysis
ECO2009 : Econometric Analysis
- Offered for Year: 2024/25
- Module Leader(s): Dr Lena Janys
- Lecturer: Dr Chris Walsh
- 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 | |
Pre-requisite
Modules you must have done previously to study this module
| Code | Title |
|---|---|
| ECO1007 | Statistical Methods for Economics |
| ECO1010 | Mathematics for Economics |
Pre Requisite Comment
N/A
For Incoming Study Abroad and Exchange students- see list of topics covered in module content
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
N/A
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
Learning Outcomes
Intended Knowledge Outcomes
Understanding of the desirable statistical properties of estimators.
Understanding of the technique of Ordinary Least Squares (OLS) regression and its statistical properties in a variety of empirical applications.
Ability to interpret and critically evaluate the output of OLS regression in the context of empirical economic analysis.
Understanding of suitable alternatives to OLS in circumstances in which OLS no longer has desirable properties.
Intended Skill Outcomes
Ability to use computer packages to analyse data. To be able to understand applied economics literature with empirical content.
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 |
Jointly Taught With
| Code | Title |
|---|---|
| ECO2099 | Econometric Analysis (Study Abroad S1) |
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.
Reading Lists
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.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- ECO2009's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- ECO2009's past Exam Papers
General Notes
N/A
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Disclaimer
The information contained within the Module Catalogue relates to the 2024 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 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.