Core
5
8 ECTS
Spring
EC170 Statistics
EC 281
Amer Demirovic
2017
| Type | Number per Term | Duration | Total Time |
|---|---|---|---|
|
Lectures |
10 | 1.5 | 15.0 |
|
Workshops |
10 | 1.5 | 15.0 |
|
Seminars |
5 | 1.5 | 7.5 |
| Tutorials | 5 | 1.5 | 7.5 |
|
Total Contact Hours |
45.0 | ||
|
Total Guided/Independent Learning Hours |
155.0 | ||
| Total Engagement Hours | 200.0 | ||
| Type | Number Required | Duration / Length | Weighting | Timing / Submission Deadline |
|---|---|---|---|---|
|
Exam |
1 |
3 hours |
50% |
Week 17 |
|
Mid-term Exam |
1 |
2 hours |
20% |
Week 8 |
|
Open-book Computer based Practical Test (IT Lab) |
1 |
2x1 hour |
2x15% |
Weeks 4, 12 |
Intended Learning Outcomes:
To see and critically analyse the complexities and complex relationships between various economic factors (and with non-economic factors as well)
Demonstrable knowledge of functional relationships between variables
Articulate on how to set and test hypotheses
Critically analyse relationships between variables outside the context studied in the class
Understand the classical regression model
Understand the theory underlying econometrics models
To use previously defined methods to complete research with the aim of collecting new information
Teaching and Learning Strategy:
A variety of approaches to managing the learning process is introduced in order to be able to meet the ILOs. Teaching will be predominantly lectures, with ample time for discussion. Lectures will be based on the key text book. In addition, supplementary resources will be used. (ILO: 1-7)
Learning is organised and supported to encourage active learning, for example by in-class case studies. (ILO: 1-7)
Computer lab exercises will also encourage active learning and application of the theoretical knowledge. (ILO: 1-3, 7)
Assessment Strategy:
Midterm exam and tests (ILO: 1-4)
Final exam (ILO: 5-6)
Computer based test (ILO:1-3, 7)
Practical Skills:
Ability to interpret results of empirical studies based on the regression analysis
Ability to quantify how a change in one variable impacts upon another variable
IT Skill, to use professional econometrics software (Eviews) to fit economic models.
Teaching and Learning Strategy:
Analyses of published empirical studies in lectures and tutorials (PS:1-2)
Practical computer lab sessions will enable students to learn how to use an econometrics software (Eviews) to practically estimate models and interpret the results on their own (PS: 3)
Assessment Strategy:
Midterm exam and written test (PS:1-2)
Computer based tests (PS: 3)
Transferable Skills:
Research Skills
Numerical Skills
Data analyses skills
Compare, inspect or record facts
Communication Skills: Written and Oral
IT Skills
Teaching and Learning Strategy:
Tutorials will provide a platform for in depth analysis and topical discussion (TS: 1-6)
Computer lab sessions (TS: 5)
Assessment Strategy:
Computer based test (TS:1-6)
Midterm exam (TS: 2-5)
Final exam (TS: 2-5)
Set text
Gujarati, D. (2014), Econometrics by Example, 2 Edition, Palgrave Macmillan
Supplementary Materials
Angrist, J., Pischke, J., (2014) Mastering ‘Metrics’: The Path from Cause to Effect, Princeton University Press
Dougherty, C., (2016), Introduction to Econometrics, 5 Edition, Oxford University Press
Stock, J., Watson, M., (2014), Introduction to Econometrics, 3 Edition, Pearson
Swift, L., Piff, S. (2014), Quantitative Methods for Business, Management and Finance, 4 Edition, Palgrave Macmillan
Verbeek, M., (2012), A Guide to Modern Econometrics, 4 Edition, John Wiley & Sons
Wooldridge, J. M. (2014) Introduction to Econometrics, EMEA 1st Edition, Cengage Publishing
Wiley (2017) Journal of applied Econometrics, http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1255
Please note
This specification provides a concise summary of the main features of the module and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if he/she takes full advantage of the learning opportunities that are provided.
More detailed information on the learning outcomes, content and teaching, learning and assessment methods of each module and programme can be found in the departmental or programme handbook.
The accuracy of the information contained in this document is reviewed annually by the University of Buckingham and may be checked by the Quality Assurance Agency.
Date of Production : April 2017
Date approved by School Learning and Teaching Committee:
Date approved by School Board of Study :
Date approved by University Learning and Teaching Committee:
Date of Annual Review:
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