20358 - ECONOMETRICS - PREPARATORY COURSE
Course taught in English
Synchronous Blended: Lessons in synchronous mode in the classroom (for a maximum of one hour per credit in remote mode)
The course intends to provide students with an introduction to methods of linear regression in econometrics.
Matrix algebra useful for linear regression:
-matrix operations;
-determinants;
-linear independence;
-rank;
-inverse matrix;
-vector spaces and projection matrices;
-quadratic forms;
-calculus.
Linear regression:
-parameter identification
-parameter estimation;
-hypothesis testing;
-specifications tests;
-linear regression using Stata
apply the main procedures of linear regression in econometrics
- Face-to-face lectures
Continuous assessment | Partial exams | General exam | |
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x |
Lecture notes, slides and Stata material will be uploaded in BBoard at the beginning of the course.