Module description
This course will prepare students for basic empirical work in development economics. In particular, topics will include basic data analysis, regression analysis, testing and identification strategies such as regression discontinuity design and instrumental variables. Students will be provided with the opportunity to carry out applied economic research using econometric software and use actual economic data to test economic theories.
Background requirement is the equivalent of one undergraduate module in quantitative methods or statistics.
Assessment details
- 1 x 1.5 Hours Mid-Term Closed Book Examination (30%)
- 1 x 2,000 Word Individual Report (70%)
Educational aims & objectives
The module considers modern econometric techniques for modelling microeconomic data. It aims to present the theory and practice of empirical research in economics. Topics covered in this module include multiple regression analysis, models with qualitative variables, panel data analysis, time series analysis etc. Each topic will start with the underlying econometric theory, estimation and hypothesis testing, and we will then have a workshop which includes the tutorials and lab sessions. Students will study to use the Stata software to analyse real datasets. The focus of the course is to help students to understand the econometric models and then be able to choose the most appropriate models for their own research.
Learning outcomes
On completing this module, the learning outcomes are such that students will be able to:
- To illustrate the use of econometrics in estimating economic models.
- To introduce a range of micro-econometric techniques, and indicate criteria by which one might judge the appropriateness of each method.
- To provide instructions in the practical application of these micro-econometric methods.
- To provide skills which usefully transfer to students' own research agendas.
Teaching pattern
One lecture and seminar per week.