The course aims to introduce and explain key introductory and intermediate econometric methods, understood as the application of statistical methods to economic problems, and to train students to interpret empirical research. By the end of the course, students should be able to understand the main assumptions and results of the methods covered, apply them to economic questions, and critically interpret empirical findings.
Prerequisiti
A good understanding of statistical theory and a basic knowledge of statistics are essential. Students who need to review this material should consult the statistical appendix of a good econometrics textbook.
Metodi didattici
In-person lectures.
Verifica Apprendimento
Written exam.
Testi
Wooldridge, J. M., Introductory Econometrics: A Modern Approach, 5th edition or later, South-Western College Publishing.
Contenuti
Simple linear regression analysis. Multiple linear regression analysis. Specification issues: functional forms, quadratics, interactions and dummy variables. Heteroskedasticity. Endogeneity, instrumental variables estimation, two-stage-least square estimation. Limited dependent variables: linear probability models, logit, probit. Censoring and truncation. Panel data: pooled OLS, fixed effects estimator, clustering.
