Practice is essential to learning and understanding econometric tools. Therefore, there will be computer practices sessions and exercises as homework. Monte Carlo simulation techniques will help understanding the statistical properties of the estimators.
The course will focus on how the nature of the data available and the research questions lead to the selection of appropriate econometric techniques. Moreover, most of the motivations for all topics dealt with in the course will stress the need to be able to infer policy implications from the results of the research.
There will be lectures, computer sessions, and classes where exercises will be solved. Slides and references are provided to facilitate successful course completion. Students will have access to basic manuals to learn the software chosen in the course. There will be four mid-term exams and four exercise sets.
Each lecturer will announce at the beginning of the term the day, hour, and place where tutorials will be conducted.