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| Module Availability |
| Autumn |
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| Assessment Pattern |
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Unit(s) of Assessment
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Weighting Towards ModuleMark (%)
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Coursework
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100
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Qualifying condition(s)
A weighted aggregated average of 40% is required to pass the module.
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| Module Overview |
| The module aims to provide students with the basic mechanics, both in terms of the theoretical background and the practical skills, for carrying out applied econometrics. |
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| Prerequisites/Co-requisites |
| None |
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| Module Aims |
| The module aims to provide students with the basic mechanics, both in terms of the theoretical background and the practical skills, for carrying out applied econometrics. |
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| Learning Outcomes |
By the end of the module students will:-
- Have gained experience in the analysis and use of empirical data in economics
- Have learnt how to turn an economic model into an econometric model
- Be able to provide an economic interpretation of parameters (e.g. in levels and in elasticities)
- Be able to formulate economic hypotheses as statistical tests and be able to carry out these tests and interpret their results
- Be able to show how regression analysis can be implemented using econometric software
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| Module Content |
The following is an indication of the likely topics to be covered:-
- The nature of econometrics and economic data
- Properties of OLS estimators
- Regression analysis using cross sectional data
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| Methods of Teaching/Learning |
| Lectures (20 hrs) and Classes (10 hrs) |
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| Selected Texts/Journals |
Gurajati, D. N. (2003), Basic Econometrics, 4th edition, McGraw-Hill.
Wooldridge, J.M. (2009), Introductory Econometrics, 4th edition, Thomson South-Western. |
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| Last Updated |
28 September 2010
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