
Course unit
ECONOMETRICS (Da A a E)
EPP4064636, A.A. 2017/18
Information concerning the students who enrolled in A.Y. 2016/17
ECTS: details
Type 
ScientificDisciplinary Sector 
Credits allocated 
Educational activities in elective or integrative disciplines 
SECSP/05 
Econometrics 
6.0 
Mode of delivery (when and how)
Period 
Second semester 
Year 
2nd Year 
Teaching method 
frontal 
Organisation of didactics
Type of hours 
Credits 
Hours of teaching 
Hours of Individual study 
Shifts 
Lecture 
6.0 
42 
108.0 
No turn 
Start of activities 
26/02/2018 
End of activities 
01/06/2018 
Prerequisites:

The course makes use of basic probability and statistics theory. For a review of these topics reading of the 2nd and the 3rd chapters of the reference textbook is strongly suggested.
We also often use derivatives to optimize functions and compute the effects of a change of an independent variable on a dependent variable. Basic understanding of what a derivative is about is essential. This understanding does not have to be very sophisticated; all that is needed is that you have no difficulty constructing the derivative of an elementary function. Occasionally we may also use of elementary vector/matrix algebra.
Finally, knowledge of basic microeconomics and macroeconomics is required. 
Target skills and knowledge:

This course is an introduction to econometrics, i.e., the set of the basic mathematical and statistical techniques useful to analyze economic data from an empirical point of view. The course will address both theoretical and applied aspects and the students should be able to deal with the specification of simple econometric models.
There will be practice sessions which comprise theoretical and empirical exercises. The software STATA will be used. 
Examination methods:

The exam is written and closedbook with theoretical and empirical exercises. 
Assessment criteria:

Grading will be based on the final exam. 
Course unit contents:

1. Refresh of probability and statistics
2. The linear regression model
3. Diagnostics in the linear regression model
4. Models with binary dependent variable
5. Instrumental variables regression 
Planned learning activities and teaching methods:

The course will have theoretical and practical lectures with exercise sessions. 
Additional notes about suggested reading:

Lecture slides will be downloadable from the moodle website of the course. 
Textbooks (and optional supplementary readings) 

Stock, James H.; Watson, Mark W., Introduzione all'econometria. Milano: Pearson Italia, 2012. 3a Edizione


