Jeff – A Modern Approach

• Slides and digital boards used and done in class, respectively, will be uploaded on Virtuale

Argomenti del programma: - Ordinary Least Squares (OLS) estimator in matrix form - Finite Sample properties of OLS estimator - Finite Sample inference - OLS asymptotics and large sample inference - Non spherical variance - Instrumental Variables (IV)

• Additional references and material will be made available to enrolled students on the Virtuale Platform.

Argomenti del programma: 1. Introduction to the course. Conditional expectations and their features 2. Multiple linear regression analysis: Ordinary Least Squares (OLS) estimator 3. Finite Sample properties of OLS estimator 4. Finite Sample inference 5. OLS asymptotics and large sample inference 6. Specification tests and model selection 7. Incorporating non-linearities in multiple linear regression models

• Additional references and material will be made available to enrolled students on the Virtuale Platform.

Argomenti del programma: 1. Introduction to the course. Conditional expectations and their features 2. Multiple linear regression analysis: Ordinary Least Squares (OLS) estimator 3. Finite Sample properties of OLS estimator 4. Finite Sample inference 5. OLS asymptotics and large sample inference 6. Specification tests and model selection 7. Incorporating non-linearities in multiple linear regression models