Econometrics
| Module title | Econometrics |
|---|---|
| Module code | BEE2031 |
| Academic year | 2019/0 |
| Credits | 15 |
| Module staff | Professor Xiaohui Zhang (Lecturer) |
| Duration: Term | 1 | 2 | 3 |
|---|---|---|---|
| Duration: Weeks | 12 |
| Number students taking module (anticipated) | 300 |
|---|
Module description
Summary:
This module follows on from the first year course BEE1023 - Introduction to Econometrics, and broadens the knowledge of basic econometrics. It will equip you with the skills needed to successfully study econometric problems involving time series and panel data, 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.
Module aims - intentions of the module
The aim of this module is to develop the knowledge and skills taught in BEE1023 - Introduction to Econometrics and focus on the analysis of economic time series and panel data. It will equip students with skills to tackle many econometric problems in economics involving the use of those types of data.
Intended Learning Outcomes (ILOs)
ILO: Module-specific skills
On successfully completing the module you will be able to...
- 1. Demonstrate competent knowledge of a variety of statistical techniques (described in the syllabus plan) that can be used to estimate models, assess their correct specification and make inferences under different assumptions in the context of problems arising in the field of econometrics.
- 2. Interpret correctly the estimated results and the statistical tests performed.
ILO: Discipline-specific skills
On successfully completing the module you will be able to...
- 3. Explain satisfactorily the underlying models and techniques in economic research
- 4. Demonstrate good mathematical and computational skills
ILO: Personal and key skills
On successfully completing the module you will be able to...
- 5. Correctly perform mathematical calculations
- 6. Demonstrate a competent level of logical thinking and analytical reasoning
- 7. Demonstrate good problem solving skills
Syllabus plan
- Specification and Data Problems
- Basic Regression Analysis with Time Series Data
- Further Issues in Using OLS in Time Series
- Pooling Cross Sections across Time: Simple Panel Data Models
- Advanced Panel Data Models
- Instrumental Variables Estimation and Two Stage Least Squares
- Limited Dependent Variable Models and Sample Selection Corrections
Learning activities and teaching methods (given in hours of study time)
| Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
|---|---|---|
| 29 | 121 | 0 |
Details of learning activities and teaching methods
| Category | Hours of study time | Description |
|---|---|---|
| Contact Hours | 22 | Lectures |
| Contact Hours | 11 | Tutorials |
Formative assessment
| Form of assessment | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|
| Weekly tutorial exercises | 1 hour | 1-7 | 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 |
|---|---|---|---|---|
| Mid-term test | 20 | 1 hour | 1-7 | Exam solutions will be posted on ELE |
| Exam | 80 | 1.5 hours | 1-7 | Exams 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 |
|---|---|---|---|
| Examination | Exam 1.5 hours (100%) | 1-7 | August Examination Period |
Indicative learning resources - Basic reading
Basic reading:
- Wooldridge, J.M. (2016), Introductory Econometrics, A Modern Approach, 6th Ed., United Kingdom: South-Western, Thomson Learning (main textbook)
- Gujarati, D. N. (2003), Basic Econometrics, 4th edition, New York: McGraw–Hill.
- Stock, J and Watson, M. (2006), Introduction to Econometrics, London, Addison-Wesley
| Credit value | 15 |
|---|---|
| Module ECTS | 7.5 |
| Module pre-requisites | BEE1023 |
| NQF level (module) | 5 |
| Available as distance learning? | No |
| Origin date | 01/03/2016 |
| Last revision date | 17/07/2017 |
