Course goals
This is an introductory course on econometrics with an emphasis on its applications. The aim of the course is to introduce the main empirical methods of economic data analysis. Students learn how to conduct empirical studies as well as how to analyse and interpret results from other empirical work. The emphasis is on gaining an intuitive understanding of the principles of econometric analysis and applying them to actual data. Students are taught how to build a suitable econometric model, understand the strengths and limitations of empirical methods, correctly interpret results, and draw valid conclusions. The main topics covered include: regression analysis with a focus on Ordinary Least Squares, dummy dependent variable models, time series, and panel data regression models.
Course results
- Understand and apply basic concepts of data analysis into econometrics: descriptive statistics, sampling, estimation and hypothesis testing.
- Analyse and evaluate linear regression models: build econometric models and understand the main assumptions of the model.
- Use linear regression models for economic analysis: use suitable software, interpret regression results, conduct hypothesis testing, and evaluate the model.
- Understand and apply the logit model for economic analysis.
- Understand and apply time series regression for economic analysis.
- Understand and apply panel data for economic analysis.
- Understand and apply simultaneous equations for economic analysis.
