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Course 2022-2023 a.y.

20358 - ECONOMETRICS - PREPARATORY COURSE

Department of Economics

Course taught in English

Insegnamento offerto in modalita' e-learning


Go to modules: E-learning class-group

DSBA (I/II sem. - P)
Course Director:
GIOVANNI BRUNO

Classes: 1 (I/II sem.)
Instructors:
Class 1: GIOVANNI BRUNO


Lezioni della classe erogate in presenza

Mission & Content Summary
MISSION

The course intends to provide students with an introduction to methods of linear regression in econometrics.

CONTENT SUMMARY

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


Intended Learning Outcomes (ILO)
KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...

    

 

APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...

apply the main procedures of linear regression in econometrics


Teaching methods
  • Face-to-face lectures
DETAILS

    

 


Assessment methods
  Continuous assessment Partial exams General exam
  • Active class participation (virtual, attendance)
  • x    
    ATTENDING AND NOT ATTENDING STUDENTS

       

     


    Teaching materials
    ATTENDING AND NOT ATTENDING STUDENTS

    Lecture notes, slides and Stata material will be uploaded in BBoard at the beginning of the course. 

    Last change 10/06/2022 14:38