ECTS: 6

Year: 2

Semester: I

Instructor: Calzolari Giorgio

Overview of the linear regression model and ordinary least squares. Estimation (OLS): algebraic properties, statistical properties of OLS, Gauss Markov theorem, forecast errors, distribution of linear and quadratic forms, linear restrictions, restricted least squares, t test, F test, structural change, specification errors, heteroskedasticity. Linear models for panel data: fixed effects versus random effects. Truncation and censored regression model (Tobit). Discrete choice models: Logit, Probit