Module
Econometrics
Module description
Summary:
This module follows on from the first-year course BEE1023 Introduction to Econometrics. It broadens the knowledge of basic econometrics. It will equip you with the skills needed to successfully study econometric problems involving different types of variables and data structure, which are often analyzed in economics, business and management.
Additional Information:
Internationalisation
The whole content of this module is applicable across boundaries and is not specific to any country.
Sustainability
All of the resources for this module are available on the ELE (Exeter Learning Environment).
Employability
This module helps students develop data analysis techniques and skills which are essential for working in the government and the private sector, such as the consulting industry.
Full module specification
| Module title: | Econometrics |
|---|---|
| Module code: | BEE2031 |
| Module level: | 2 |
| Academic year: | 2023/4 |
| Module lecturers: |
|
| Module credit: | 15 |
| ECTS value: | 7.5 |
| Pre-requisites: | Passed BEE1023 |
| Co-requisites: | None |
| Duration of module: |
Duration (weeks) - term 1: 12 Duration (weeks) - term 2:0 Duration (weeks) - term 3:0 |
Module aims
The aim of this module is to develop the knowledge and skills taught in BEE1023 - Introduction to Econometrics and focus on applying econometric techniques to solve economic problems, from identifying causal effects of economic policies to quantify the existence of discrimination in the labour market. It will equip students with skills to tackle many econometric problems in economics involving the use of different types of data.
ILO: Module-specific skills
- 1. Demonstrate competent knowledge of a variety of econometric techniques
- 2. Interpret correctly economic data and estimates
ILO: Discipline-specific skills
- 3. Explain satisfactorily the underlying models and techniques in economic research
- 4. Demonstrate good mathematical and computational skills
ILO: Personal and key skills
- 5. Demonstrate a competent level of logical thinking and analytical reasoning
- 6. Demonstrate good problem solving skills
Learning activities and teaching methods (given in hours of study time)
| Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
|---|---|---|
| 22 | 128 | 0 |
Details of learning activities and teaching methods
| Category | Hours of study time | Description |
|---|---|---|
| Scheduled learning and teaching activity | 11 | Lectures |
| Scheduled learning and teaching activity | 11 | Tutorials |
| Guided independent study | 128 | Reading, preparation for classes and assessments |
Formative assessment
| Form of assessment | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|
| Weekly tutorial | 1 hour | 1-6 | Tutorial exercise solutions will be posted on ELE |
Summative assessment (% of credit)
| Coursework | Written exams | Practical exams |
|---|---|---|
| 0 | 100 | 0 |
Details of summative assessment
| Form of assessment | % of credit | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|---|
| Midterm test 1 | 10 | 45 minutes | 1-6 | Exam solutions will be posted on ELE |
| Midterm test 2 | 10 | 45 minutes | 1-6 | Exam solutions will be posted on ELE |
| Final exam | 80 | 2 hours | 1-6 | Exam solutions 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 |
|---|---|---|---|
| Midterm test 1 (10%) | Midterm test 1 (10%) | 1-6 | August/September reassessment period |
| Midterm test 1 (10%) | Midterm test 2 (10%) | 1-6 | August/September reassessment period |
| Final exam (80%) | Exam 2 hours (80%) | 1-6 | August/September reassessment period |
Syllabus plan
- Population vs. sample
- Law of large numbers and central limit theorem
- Linear prediction vs. linear econometric model
- Decomposition of effects for linear regression models
- Measurement error, omitted variable bias and simultaneity bias
- Instrumental variables and Two Stage Least Squares
- Nonlinear econometric models
Indicative learning resources - Basic reading
Basic reading:
Slides and notes prepared by lecturers and pedagogical articles (e.g. Journal of Economic Perspectives).
Additional reading:
Stock, J. & Watson, M. (2016). Introduction to econometrics. London: Addison-Wesley.
Wooldridge, J.M. (2020). Introductory econometrics: A modern approach (7th ed.). Australia: Cengage. (Older editions can be used)
Module has an active ELE page?
Yes
Origin date
01/03/2016
Last revision date
08/03/2023