- Module Code:
- Year of study:
- Year 2, Year 3 or Year 4
- 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.
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 and learning outcomes of the module
On successful completion of this course, students will be able to:
- 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;
- To cover the theory and practice of modern econometrics at a level appropriate for an economics graduates, emphasizing application;
- To teach the students the habits of thought, knowledge and understanding to be able to carry out good quality applied econometric research with confidence;
- 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.
- To provide students with the ability to use STATA in an effective manner.
- Develop 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;
- To deepen their other transferable skills such as, written communication, teamwork, numeracy; computer literacy, problem solving, and analytical skills.
Method of assessment
Assessment weighting: Exam 80% / Term 1 Exercise 10% and Term 2 Project (500 words)
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.
- 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