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| Assessment Pattern |
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| Unit(s) of Assessment |
Weighting Towards Module
Mark (%)
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| 2 hour Examination |
50
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| Coursework 1 |
10
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| Coursework 2 |
40
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Qualifying Condition(s)
A weighted aggregated mark of 40% is required to pass the module |
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| Module Overview |
| The module will give students an introduction to the econometric techniques that are appropriate to economic modelling of micro economic data, which for example, may be based upon individuals or firms. The lectures provide an insight into the econometrics behind modelling different outcomes and are integrated with practical examples. The module provides students with practical experience of applying standard micro-econometric techniques to large sample surveys, with a focus upon interpretation of results |
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| Prerequisites/Co-requisites |
| None |
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| Module Aims |
The module will equip the student with the ability to undertake, understand, and critically assess empirical work in economics, with a view of enabling the student to use micro-econometrics to catalogue and describe empirical regularities and test various propositions |
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| Learning Outcomes |
On completion of this module, typical students will be able to:-
- have an ability to use appropriate statistical software (STATA) to address an applied research problem
- to appreciate some of the problems associated with estimating cross sectional models
- have knowledge of the theory and application of instrumental variable estimation
- familiarity with modeling discrete dependent variables, in particular ordered and multinomial models
- understand the concepts of truncation and sample selection and their relationship
- to understand the concept of pnael estimators and the advantages of panel data
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| Module Content |
The course covers instrumental variable and simultaneous equation methods, maximum likelihood estimation and specification tests, models with limited dependent variables, and models based on panel data |
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| Methods of Teaching/Learning |
| Lectures (9) and Lab Sessions (4) |
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| Last Updated |
10 March 2011 |
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