Course overview
This course provides an introduction to the econometric techniques used to analyse data sets in economics, business and finance. It builds on basic statistics, inference and regression as covered in introductory statistics courses but does not include time series econometrics. The focus is on understanding the methods involved, using statistical software to provide the results and then interpreting and commenting on these results. The course reviews basic statistics, regression and inference, and then introduces multiple regression analysis, which remains the most commonly used statistical technique in econometrics. The remainder of the course considers various practical aspects of linear regression models and may include dummy variables, different functional forms and the consequences of violation of the classical regression assumptions.
Course learning outcomes
- Have an in-depth knowledge of Economic data structure and use adequate visual tools to present data
- Estimate simple and multiple linear regressions with quantitative data
- Test and correct for heteroscedasticity
- Estimate linear regressions with qualitative data
- Interpret outcomes of the regressions
- Discuss and communicate methodology and results in a team
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