Introduction to Econometrics
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.
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|
Grade B or higher in A-Level Mathematics (or equivalent)
BEE1022 or BEE1025 or BEA1012 or INT1003
Cannot be taken with MTH1004 (non-requisite)
|Duration of module:||
Duration (weeks) - term 2: |
BEE1023 aims to familiarise students with bivariate and multivariate linear regression analysis. The contents of this module forms 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|
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.|
|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|
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|
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|
|Homework quizzes: 5 each at 4% (20%)||Any quizzes deferred will be set-aside*; any quizzes failed will also be set-aside* if the module is failed overall**||August/September Reassessment Period|
|Mid-term test (20%)||Examination (1 hour, 20%)||1-2,4-9||Referral/Deferral Period|
|Final examination (60%)||Examination (1.5 hours, 60%)||1-9||August/September Reassessment Period|
Deferrals will take place as soon as possible within the same term; Referrals** and any further deferrals will take place in the August/September Reassessment Period
*’Set-aside’ means that assessment is excluded from the overall module mark, and an overall mark is calculated from the remaining assessments with those remaining assessments re-weighted in proportion to produce a mark of up to 100%.
So for this module, if one of the quizzes (4% of the module) were to be ‘set-aside’ the marks for the remaining components would be added together and the maximum effective mark would be 96%. This would then be re-weighted to produce a mark up to 100%.
**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.
- 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?
Last revision date