Econometric Methods - ECON8210

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Module delivery information

Location Term Level1 Credits (ECTS)2 Current Convenor3 2022 to 2023
Canterbury
Autumn Term 7 15 (7.5) Guy Tchuente Nguembu checkmark-circle

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

Contact hours

Total contact hours: 33
Private study hours: 117
Total study hours: 150

Availability

This is a compulsory module for the:
- MSc in Economics
- MSc in Economics and Econometrics
- MSc in Development Economics
- MSc in Financial Economics
- MSc in Quantitative Finance and Econometrics
- MSc in International Finance and Economics

Method of assessment

Moodle Quiz (15%)
Computer Based Project (25%)
Examination (2 hours): 60%

Reassessment methods: 100% Exam

Indicative reading

Reading list (Indicative list, current at time of publication. Reading lists will be published annually)

Core reading:

Wooldridge, Jeffrey. Introductory Econometrics: A Modern Approach. 5th Edition. South-Western, 2013.

Recommended reading:

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.

This list will be augmented by chapters form Handbook of Econometrics and articles from academic journals.

See the library reading list for this module (Canterbury)

Learning outcomes

The intended subject specific 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.


The intended generic learning outcomes.
On successfully completing the module students will be able to:

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.

Notes

  1. Credit level 7. Undergraduate or postgraduate masters level module.
  2. ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
  3. The named convenor is the convenor for the current academic session.
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