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Module Availability |
Autumn |
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Assessment Pattern |
Unit(s) of Assessment |
Weighting Towards Module Mark (%)
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Coursework |
100
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Qualifying Condition(s) A weighted aggregated mark of 50% is required to pass the module |
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Module Overview |
This module lays the statistical and econometric foundations for subsequent applied work, covering fundamental topics concerning estimation and inference of econometric models |
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Prerequisites/Co-requisites |
It is expected that students would have passed ECOM011 Preliminary Quantitative Methods
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Module Aims |
This module is an introduction to the methods of specification, estimation and testing of econometric models. The techniques are applied to real data making use of the econometric package EViews |
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Learning Outcomes |
By the end of the module students will:
Understand the principles of estimation and hypothesis testing
Know the properties of different estimators and tests
Be able to apply econometric techniques to actual data using a computer package
Be critically aware of the assumptions made in building econometric models
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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.
Regression analysis using qualitative information.
Heteroskedaticity.
Functional form
Autocorrelation
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Methods of Teaching/Learning |
Lectures (20 hrs)Tutorial (10 hrs) Readings using lecturers guidance Preparing presentations Responding to questions in class Producing coursework assignments |
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Selected Texts/Journals |
Indicative Reading Dougherty, C, (2002), Introduction to Econometrics, 2nd edition OUP Gujarati, D, (2003), Basic Econometrics, 4th edition, McGraw-Hill Maddala, G, S, (1992), Introduction to Econometrics, 3rd edition, Macmillan Stewart, J and Gill, L, (1998), Econometrics, 2nd edition, Prentice Hall Thomas, R, L, (1993), Introductory Econometrics, 2nd edition, Longman |
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Last Updated |
28 September 2010 |
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