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.
The whole content of this module is applicable across boundaries and is not specific to any country.
All of the resources for this module are available on the ELE (Exeter Learning Environment).
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
|Duration of module:||
Duration (weeks) - term 1: |
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.
ILO: Module-specific skills
- 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
- 3. Explain satisfactorily the underlying models and techniques in economic research
- 4. Demonstrate good mathematical and computational skills
ILO: Personal and key skills
- 5. Correctly perform mathematical calculations
- 6. Demonstrate a competent level of logical thinking and analytical reasoning
- 7. 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|
Details of learning activities and teaching methods
|Category||Hours of study time||Description|
|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|
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%)||1-8||August Examination Period|
- Specification and Data Problems
- Basic Regression Analysis with Time Series Data
- Further Issues in Using OLS in Time Series
- Serial Correlation and Heteroskedasticity in Time Series Regressions
- Pooling Cross Sections across Time: Simple Panel Data Models
- Advanced Panel Data Models
- Instrumental Variables Estimation and Two Stage Least Squares
- Binary Response Models
Indicative learning resources - 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
Module has an active ELE page?
Last revision date