The aim of the course is to understand the method of empirical economics, which rely strongly on econometrical models. The course presents the general method of linear regression allowing to estimate the links between several economic variables. The focus will be on understanding what lies behind those methods and the way to interpret economically the results.
Course plan
1. Review: random variables
2. Review: statistical tests
3. General principal of linear regression
4. Simple regression analysis
5. Multiple regression analysis
6. Linear regression interpretations
7. Composition effects
8. Interaction effects
9. Logit regression principle
10. Logit regression interpretation
11. Multicollinearity and Heteroscedasticity
12. Introduction causal inference: difference in difference
Suggestion of textbooks:
Dougherty, C. (2016). Introduction to econometrics. Oxford University Press.
Stock, J. H., & Watson, M. W. (2020). Introduction to econometrics (Fourth edition, global edition).
Maddala, G. S., & Lahiri, K. (2009). Introduction to econometrics. Wiley.
- Enseignant éditeur: Carbonnier Clément
