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Department of Economics

Econometrics

Course Code:
153400103
Unit value:
1
Year of study:
Year 2
Taught in:
Full Year

This course introduces statistical inference and leads to competence in multivariate econometric techniques. It covers the problems of regression analysis and the treatment of categorical variables, which typically feature in the analysis of data from developing countries. Illustrations of the concepts covered in the course are taken from developing country experience.

This course is a prerequisite for Applied Econometrics. It is a core course for BSc Economics students.

Prerequisites

15 340 0121 - Quantitative Methods for Economists

Objectives and learning outcomes of the course

Aims

The aim of this course is to equip the students with the necessary skills, including both the acquisition of habits of thought and knowledge of the techniques of modern econometrics, required for applied research in development economics.

Objectives

The Course objectives are: (a) to deepen and broaden the students' knowledge and understanding of material needed for empirical quantitative analysis of micro and macro data relevant to development issues, building on the material covered in the second year intermediate econometrics course; (b) to cover the theory and practice of modern econometrics at a level appropriate for an economics graduates, emphasizing application; (c) to teach the students the habits of thought, knowledge and understanding to be able to carry out good quality applied econometric research with confidence; (d) to develop the critical insight to appraise econometric results obtained by other researchers. The course is application oriented. Accordingly, the emphasis will be on application of techniques for policy analysis and will not be overly concerned with mathematical proofs. The course also aims to provide students with the ability to use STATA in an effective manner.

Learning Outcomes

By the end of the course the students will have developed the necessary skills needed for empirical research using modern econometrics techniques in addressing development issues; Through their computer based assignments they will be also trained in conducting research using primary data; The students will also deepen their other transferable skills such as, written communication, teamwork, numeracy; computer literacy, problem solving, and analytical skills.

Method of assessment

Exam 100%. 

Please note: BSc Economics students who fail Econometrics will be obliged to either swap to BSc Development Economics or take a leave of absence and re-take the exam the following year.

Suggested reading

 Gujarati, D.N. Essentials of Econometrics, 3rd Edition, McGraw Hill, 2006
 Dougherty, C. Introduction to Econometrics, 3rd Edition, Oxford University Press, 2007
 Wooldridge, J. Introductory Econometrics: A Modern Approach, 4th Edition, Thomson/South-Western, 2008