APPLIED ECONOMETRICS
Anno accademico e docente
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- English course description
- Anno accademico
- 2022/2023
- Docente
- ANTONIO MUSOLESI
- Crediti formativi
- 8
- Percorso
- Green economy and sustainability
- Periodo didattico
- Secondo Semestre
- SSD
- SECS-P/05
Obiettivi formativi
- The course aims at presenting basic econometric methods allowing to measure causal relations using real data. In particular, the course will focus on the linear regression model, its estimation and on the statistical inference on the parameters of interest. Some issues concerning econometric modeling will be discussed.
At the end of the course the student is able: - to use the linear regression model in order to study causal relation Prerequisiti
- Probability and statistical inference; basic linear algebra
Contenuti del corso
- Review of Probability
Review of Statistical inference
Linear Regression with One Regressor
Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals
Linear Regression with Multiple Regressors
Hypothesis Tests and Confidence Intervals in Multiple Regression
Nonlinear Regression Functions Metodi didattici
- Lectures and written exercises
Modalità di verifica dell'apprendimento
- Oral examination
Testi di riferimento
- Newbold P., B. Thorne, Statistica, 2/Ed, Pearson.
Wooldridge J., Introductory Econometrics: A Modern Approach
