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Course description
  ECONOMETRICS I

Competencies and objectives

 

Course context for academic year 2021-22

This is the first course in Econometrics in the master program. Students have taken Statistics in the previous semester 

 

 

Course content (verified by ANECA in official undergraduate and Master’s degrees)

General Competences (CG)

  • CG2 : Capacity to find data (natural and experimental) and analyse it.
  • CG3 : Capacity to apply economic theory to represent real situations.
  • CG4 : Capacity for teamwork.
  • CG5 : Capacity for self-learning.
  • CG6 : Ethical commitment and social responsibility at work, respecting the environment, being aware and understanding the importance of respect for fundamental rights, equal opportunities for men and women, universal accessibility for the disabled and respect for the values of a peaceful, democratic society.
  • CG7 : Analyse problems using critical reasoning, without prejudice and with precision and rigor.
  • CG8 : Capacity for synthesis.

 

Specific Competences (CE)

  • CE1 : Capacity to read Economic research articles in a reasoned fashion and evaluate them critically, understand their essential contributions and weaknesses.
  • CE2 : Capacity to understand how the technical problems faced by authors of research articles have been resolved in each case.
  • CE3 : Capacity to test theorems and propositions.
  • CE4 : Capacity to understand and reproduce empirical analyses and simulation experiments on which the conclusions of research articles written by other authors are based.
  • CE5 : Capacity to present important economic problems precisely and respond adequately to said problems by using the techniques learnt on the different courses, using theoretical and empirical analyses or simulations if necessary.

 

 

 

Learning outcomes (Training objectives)

No data

 

 

Specific objectives stated by the academic staff for academic year 2021-22

The objective of this course is to provide an introduction to the application of statistical methods in econometrics. The course covers estimation and inference in linear models, including regression and instrumental variables. The last part of the course is devoted to introduce the students into the analysis of Time Series models. 

 

 

General

Code: 41209
Lecturer responsible:
COLLADO VINDEL, MARIA DOLORES
Credits ECTS: 6,00
Theoretical credits: 1,60
Practical credits: 0,40
Distance-base hours: 4,00

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