Econometric Methods - EC821

Location Term Level Credits (ECTS) Current Convenor 2019-20
Canterbury
(version 2)
Autumn
View Timetable
7 15 (7.5) PROF H Krolzig

Pre-requisites

None

Restrictions

None

2019-20

Overview

This module studies basic econometric techniques. An intuitive and practical learning style will be used in order to develop participants understanding and ability to apply these econometric methods. Participants will develop an understanding of the conventional linear regression model in cross section, time series and panel data. The module focuses on the application of econometric methods, with little emphasis on the mathematical aspects of the subject. A computer software package will be used for practical work throughout this module, both as a means to provide applications of the theory developed in lectures as well as to give experience in the use of such software for participants own empirical research. No previous knowledge of computing or econometrics is required.

Details

This module appears in:


Contact hours

33 hours of academic teaching in the form of lectures and seminars

Method of assessment

20% Project (2000 words)
10% In-Course Test 1 (45 minutes)
10% In-Course Test 2 (45 minutes)
60% Examination (2 hours)

Indicative reading

• Wooldridge, Jeffrey. Introductory Econometrics: A Modern Approach. 5th Edition. South-Western, 2013
• Baum, Christopher. Introduction to Modern Econometrics Using STATA. STATA Press, 2006
• Kennedy, Peter. A Guide to Econometrics. 6th Edition. John Wiley and Sons Ltd, 2008

See the library reading list for this module (Canterbury)

Learning outcomes

On successfully completing the module students will be able to:

• critically understand advanced economic theory and quantitative methods at high level of generalization and apply them to a range of economic questions
• perform and interpret the results of advanced specification tests
• evaluate model adequacy using comprehensive diagnostic tests and alternative innovative criteria
• creatively undertake unsupervised practical work using appropriate software at the advanced level
• critically interpret the empirical economic research of others and identify gaps and controversial questions in the existing empirical literature
• analyse and report in writing on own and others' empirical economic results. Identify appropriate economic models to analyse complex economic problems
• develop their ability to utilize modern computing resources to access and acquire data from all available sources
• enhance the ability to reason at a high level of abstraction
• develop and reinforce skills in numeracy and problem solving through manipulation of complex quantitative models
• improve their skills in communication and the ability to rigorously present economic arguments to a critical educated audience

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