After successfully finishing the course, the student will be able to evaluate the relations between economic variables by applying regression models. For example, the student would be able to run a regression between the returns and the volatility in a determined market. However, since real-life data rarely satisfies the underlying assumptions of the regression model, the student will also learn how to modify the model or the estimation methods in order to be able to confront the usual problems of the data analysis. To be more concrete, the course will cover the following topics: qualitative explanatory variables, heteroskedasticity, the correlation among explanatory varibles, and endogeneous variables. The student will also learn how to test economic or financial theories using real-life data.
1. Capacity to analyze and syntesize.
2. The use of computer software for the econometric analysis.
3. Solving problems.
4. Team work.
5. Critical thinking.
6. Oral and written communication.