Applied Econometrics 1
Module description
This module include the basic statistical foundation to study econometrics, the simple linear regression model, multi-regression model, empirical examples (CAPM, Demand function study), linear time series and nonlinear time series models.
Full module specification
| Module title: | Applied Econometrics 1 |
|---|---|
| Module code: | BEEM011 |
| Module level: | M |
| Academic year: | 2018/9 |
| Module lecturers: |
|
| Module credit: | 15 |
| ECTS value: | 7.5 |
| Pre-requisites: | None |
| Co-requisites: | None |
| Duration of module: |
Duration (weeks) - term 1: 12 |
Module aims
The module aims to provide students with an applied econometric foundation necessary in order to conduct a high-standard empirical analysis of economic and finance data.
ILO: Module-specific skills
- 1. demonstrate aptitude in the econometric techniques to analyse economic and financial data
- 2. exhibit technical expertise to analyse the data with a econometric software package
ILO: Discipline-specific skills
- 3. formulate hypotheses of interest, derive the necessary tools to test these hypotheses and interpret the results
- 4. demonstrate a specialised knowledge of linking the theory and empirical questions
ILO: Personal and key skills
- 5. solve the analytical problems and provide appropriate interpretation of the outcomes for decision making
- 6. demonstrate data analysis skills
Learning activities and teaching methods (given in hours of study time)
| Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
|---|---|---|
| 36 | 114 |
Details of learning activities and teaching methods
| Category | Hours of study time | Description |
|---|---|---|
| Scheduled Learning and Teaching activities | 36 | Lectures (12*2 hours) and Tutorials (12*1 hour) |
| Guided independent study | 40 | Writing up reports from empirical analysis of real data |
| Guided independent study | 40 | Reading and research |
| Guided independent study | 34 | Learning and practicing the econometric software package |
Formative assessment
| Form of assessment | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|
| Weekly exercises | 5-10 questions | 1-6 | Verbal |
Summative assessment (% of credit)
| Coursework | Written exams | Practical exams |
|---|---|---|
| 40 | 60 | 0 |
Details of summative assessment
| Form of assessment | % of credit | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|---|
| Two written Assignments | 40 | 1000 words each | 1-6 | Written |
| Written Exam | 60 | 2 hours | 1, 3, 4 and 5 | Written |
| 0 | ||||
| 0 | ||||
| 0 | ||||
| 0 |
Details of re-assessment (where required by referral or deferral)
| Original form of assessment | Form of re-assessment | ILOs re-assessed | Timescale for re-assessment |
|---|---|---|---|
| Two assignments | Two assignments (1000 words each) 40% | 1-6 | July |
| 2 hour Exam | 2 hour exam 60% | 1, 3, 4 and 5 | August |
Syllabus plan
The syllabus plan is as follows:
- Statistical fundamentals
- Linear regression models
- Empirical examples of linear regression models
- Further issues on linear regression model
- Linear time series
- Nonlinear time series
Indicative learning resources - Basic reading
Basic reading:
Basic Econometrics by Damodar N. Gujarati, 2009 (McGram Hill),
Introduction to Econometrics by Christopher Dougherty, 2016 (Oxford),
The Econometric Modelling of Financial Time Series by Terence C. Mills 2008 (Cambridge)
Module has an active ELE page?
Yes
Indicative learning resources - Other resources
Time Series Modelling (TSM): Econometrics Software Package
Origin date
29/09/2016
Last revision date
17/10/2018