- Docente: Giuseppe Cavaliere
- Credits: 8
- SSD: SECS-P/05
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Statistical Sciences (cod. 8873)
Learning outcomes
The purpose of the course is to provide basic tools for the quantitative analysis of economic phenomena and for the empirical investigation of the data.
Course contents
Economic theories and economic data; models based on time-series and models based on cross section data.
The concepts of exogeneity and the linear regression model. Estimation and hypotheses testing. Dynamic models. Estimation: ordinary least squares and maximum likelihood. Constrained estimation. Specification analysis. Qualitative variables. Nested and non-nested models.
Systems. Reduced forms and structural forms. VAR models as particular reduced forms. Identification. Estimation: endogeneity bias and instrumental variables. Other estimation methods.Readings/Bibliography
J.H. Stock, M.W. Watson, Introduction to Econometrics, 2nd Ed., Pearson/Addison-Wesley, Boston, 2007.
Teaching methods
All topics are illustrated with economic data using some econometric packages.
Assessment methods
The final exam aims at evaluating the achievement of the following educational targets:
- knowledge of the econometric techniques shown during the frontal lectures
- ability to employ these techniques to analyze and interpret micro and macro-economic phenomena
The exam consists of a written test and an oral test.Teaching tools
Econometric software
Office hours
See the website of Giuseppe Cavaliere