Course overview
This course provides tools for, and deeper understanding of, the econometric techniques used to analyse data sets in economics with a focus on the methods of statistics, inference, and regression. It emphasises understanding the theory of the methods involved, and comprehensive application of these methods, including interpreting and commenting on the results obtained using specialised software. The course introduces multiple regression analysis, which remains the most used statistical technique in econometrics. It considers various aspects of linear regression models and includes dummy variables, different functional forms and the consequences of violation of the classical regression assumptions.
Course learning outcomes
- Demonstrate an in-depth knowledge of economic data structure and use appropriate visual tools to present data
- Write regressions in matrix form
- Estimate simple and multiple linear regressions with quantitative data
- Test and correct for heteroscedasticity and autocorrelation
- Estimate linear regressions with qualitative data
- Interpret and evaluate regression results in context
Degree list
The following degrees include this course