Module
Introduction to Econometrics
Module description
BEE1023 introduces students to the theory and application of econometrics.
This module requires students to have at least a Grade B in A Level Mathematics (or equivalent).
Students who wish to study this module must have taken one of BEE1022, BEE1025, BEA1012 or INT1003.
The module is not available to students who have studied MTH1004.
Additional Information:
Employability
The module introduces methods of empirical analysis which are frequently employed in academia and businesses across many disciplines and industries.
Research in Teaching
Students will study and replicate examples from various empirical research projects in economics
Full module specification
| Module title: | Introduction to Econometrics |
|---|---|
| Module code: | BEE1023 |
| Module level: | 1 |
| Academic year: | 2023/4 |
| Module lecturers: |
|
| Module credit: | 15 |
| ECTS value: | 7.5 |
| Pre-requisites: | Grade B or higher in A-Level Mathematics (or equivalent) BEE1022 or BEE1025 or BEA1012 or INT1003 |
| Co-requisites: | Cannot be taken with MTH1004 (non-requisite) |
| Duration of module: |
Duration (weeks) - term 2: 11 |
Module aims
BEE1023 aims to familiarise students with bivariate and multivariate linear regression analysis. The contents of this module form the basis for all econometrics teaching in the undergraduate economics programmes.
ILO: Module-specific skills
- 1. select, fit and interpret linear regression models in the context of economic theory;
- 2. demonstrate understanding of estimators, their properties and sampling distributions under standard assumptions;
- 3. perform and interpret hypothesis tests involving single coefficients, a linear combination of coefficients and multiple exclusion restrictions;
- 4. demonstrate understanding of how software is used in econometric analysis.
ILO: Discipline-specific skills
- 5. demonstrate awareness of the role and contribution that econometric methods make in the understanding of economic models;
- 6. demonstrate awareness of the limitations of econometric methods;
- 7. demonstrate ability to apply mathematical and statistical methods to economic problems;
- 8. develop awareness of common difficulties arising in the analysis of economic data.
ILO: Personal and key skills
- 9. develop data analysis skills and the ability to communicate about numerical evidence.
Learning activities and teaching methods (given in hours of study time)
| Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
|---|---|---|
| 32 | 118 | 0 |
Details of learning activities and teaching methods
| Category | Hours of study time | Description |
|---|---|---|
| Scheduled Learning and Teaching Activity | 22 | Lectures |
| Scheduled Learning and Teaching Activity | 10 | Tutorials |
| Guided Independent Study | 118 | Reading and preparation for lectures, tutorials and assessments. |
Formative assessment
| Form of assessment | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|
| Weekly tutorial exercises | 50 minutes | 1-9 | In class |
Summative assessment (% of credit)
| Coursework | Written exams | Practical exams |
|---|---|---|
| 20 | 80 | 0 |
Details of summative assessment
| Form of assessment | % of credit | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|---|
| Five online homework quizzes | 20 | approx. 30 minutes each | 1-9 | ELE |
| Mid-term test | 20 | 1 hour | 1-2,4-9 | Final grade & feed back will be posted on ELE |
| Final examination | 60 | 1.5 hours | 1-9 | Final grade & feed back will be posted on ELE |
| 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 |
|---|---|---|---|
| Five online homework quizzes (20%) | Single online homework quiz (20%) | 1-9 | August/September Reassessment Period |
| Mid-term test (20%) | Examination (1 hour, 20%) | 1-2,4-9 | August/September Reassessment Period |
| Final examination (60%) | Examination (1.5 hours, 60%) | 1-9 | August/September Reassessment Period |
Re-assessment notes
If you pass the module overall, you will not be referred in any component – even if you have not passed one or more individual components.
Syllabus plan
- The Nature of Econometrics
- The Simple Regression Model
- Multiple Regression Analysis: Estimation
- Multiple Regression Analysis: Hypothesis Testing and Confidence Intervals
- Multiple Regression Analysis: Categorical variables and further issues
Indicative learning resources - Basic reading
Mandatory reading: selected chapters of the textbook below
Wooldridge, J.M. (2020), Introductory Econometrics: A Modern Approach, 7th edition, CENGAGE Learning.
Previous editions of the same textbook may be used.
Module has an active ELE page?
Yes
Origin date
01/09/2006
Last revision date
01/03/2023