Competencies and objectives


Course context for academic year 2023-24

This course is an introduction to behavioral economics, and is well suited for students who have never studied this subject before. However, because we will cover many topics, and there are opportunities for self-directed study, the course is also valuable for those who have had a basic training in behavioral economics and would like to expand their knowledge.
This course can be taken by students who are not doing research in behavioral economics (but instead macro, IO, public finance, etc.) but have an interest for the field, and would like to learn more and to incorporate some of the acquired knowledge into their research. Because people’s psychology is crucial to understand the decisions they make, understood in this broad sense, all economics is behavioral. If this is your case, you are welcome and encouraged to take the class! Of course, the course is also designed for those who want to do research in behavioral economics, or to apply behavioral economics in the field.



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

General Competences (CG)

  • CG1 : Capacity to carry out research work.
  • 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.
  • CE6 : Ability to write a research report or article describing the problem dealt with, analysing previous literature on the subject, clearly presenting the solution obtained for the problem and synthesising the conclusions of the work.




Learning outcomes (Training objectives)

No data



Specific objectives stated by the academic staff for academic year 2023-24

The objectives of the course are:

  1. To gain enough knowledge in behavioral economics to serve as a starting point for research in the area, or to apply behavioral economics to research in other areas.
  2. Learning how to read articles in behavioral economics proficiently. Reading papers in behavioral economics is necessary for obtaining a good sense of how research is done in this area.
  3. To learn the key models in behavioral economics, and to be able to apply them appropriately.
  4. Gaining a broad overview of behavioral economics and adjacent fields, to be able to connect them with future research projects.
  5. Applying behavioral economics "in the field", to applied problems.





Code: 41215
Lecturer responsible:
Credits ECTS: 5,00
Theoretical credits: 1,20
Practical credits: 0,40
Distance-base hours: 3,40

Departments involved

    Theoretical credits: 1,2
    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