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.
Private Study: 117
Contact Hours: 33
Total: 150
This is a compulsory module for the:
• MSc in Economics
• MSc in Development Economics
• MSc in Financial Economics
Optional to the following courses:
• None
ICT 1 - 10%
ICT 2 – 10%
Computer based Project – 20%
Exam (2 hours) – 60%
Reassessment methods: 100% Exam
*Exams will be online*
The University is committed to ensuring that core reading materials are in accessible electronic format in line with the Kent Inclusive Practices.
The most up to date reading list for each module can be found on the university's reading list pages.
See the library reading list for this module (Canterbury)
The intended subject specific learning outcomes.
On successfully completing the module students will be able to:
1 Critically understand advanced economic theory and quantitative methods at high level of generalization and apply them to a range of economic questions.
2 Perform and interpret the results of advanced specification tests
3 Evaluate model adequacy using comprehensive diagnostic tests and alternative innovative criteria
4 Utilise appropriate software to undertake advanced level practical work and be able to describe and explain the relevant processes
5 Critically interpret the empirical economic research of others and identify gaps and controversial questions in the existing empirical literature
6 Analyse and report in writing on own and others' empirical economic results. Identify appropriate economic models to analyse complex economic problems.
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