Competencies and objectives

Provisional information. Pending approval by the Department Council.

 

Course context for academic year 2025-26

This is the first econometrics course in the master’s program, designed for students who have completed a prior course in statistics. It builds on foundational statistical concepts to develop core econometric tools.

 

 

Course competencies (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2025-26

No data

 

 

Learning outcomes (Training objectives)

 

-Know and be able to argue the consequences to #move  of the classical suppositions in the model of linear regression.
-Be able to apply and interpret the models of instrumental variables and of the method generalised of the moments.
-Be able to apply and interpret the models of data of signpost, and argue the problem of heterogeneity no observable.
-Be able to apply and interpret the models of data binary response.

 

 

 

Specific objectives stated by the academic staff for academic year 2025-26

The objective of this course is to introduce students to the application of statistical methods in econometrics, with an emphasis on estimation and inference in linear models. Specific topics include regression analysis, instrumental variables, panel data models, and discrete choice models.

 

 

General

Code: 49165
Lecturer responsible:
Redondo Gómez, Henry Antonio
Credits ECTS: 5,00
Theoretical credits: 1,60
Practical credits: 0,40
Distance-base hours: 3,00

Departments involved

  • Dept: FOUNDATIONS OF ECONOMIC ANALYSIS
    Area: FOUNDATIONS OF ECONOMIC ANALYSIS
    Theoretical credits: 1,6
    Practical credits: 0,4
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught