Competencies and objectives
Course context for academic year 2025-26
We will build tools and methods needed to rigorously analyze macroeconomic policy and other topical issues. Rather than diving deep into a single topic, the course will cover several key areas in Macroeconomics. Students will be exposed to theoretical and numerical methods to answer policy questions. Students will also have the opportunity to practice their analysis skills for policy proposals.
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 of and understanding the importance of respecting Fundamental Rights, Equal Opportunities for Men and Women, Universal Accessibility for the Disabled and respect for the Values of Peaceful Culture and Democratic Values.
CG7 : Analyse problems using critical reasoning, without prejudices, precisely and rigorously.
CG8 : Capacity to synthesise.
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.
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 / Course competencies (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2025-26
Skills/Skills
- RA03 : Critically analyze research articles in Economics, identifying their essential contributions and weaknesses
- RA05 : Understand how technical problems in research articles have been addressed and be able to replicate the empirical analysis and simulation experiments on which they are based
Conocimientos/Contenidos
- RA01 : Understand the fundamental theoretical framework of economics at a rigorous formal level
Skills/Competences
- RA04 : Formulate relevant economic problems precisely and provide appropriate solutions using theoretical, empirical, or simulation-based analysis
- RA14 : Be able to develop and learn autonomously about topics related to Economics and Data Science
Learning outcomes (Training objectives)
- Understand the fundamental dynamic general equilibrium models used in macroeconomics.
- Be able to read and critically assess macroeconomic research and policy articles, identifying their economic rationale and weaknesses.
- Understand and replicate the empirical analyses, calibration exercises, and simulation experiments used in macroeconomic research papers.
Specific objectives stated by the academic staff for academic year 2025-26
- Understand the basic dynamic general-equilibrium models used in macroeconomics.
- The student should be able to understand and critically evaluate current macroeconomic research articles, grasping the economic rationale and weaknesses of each article.
- The student should also be able to understand and replicate empirical analyses, calibration exercises, and simulation experiments on which the conclusions presented in other authors' research papers are based.
General
Code:
49166
Lecturer responsible:
Pérez Sebastián, Fidel
Credits ECTS:
5,00
Theoretical credits:
1,60
Practical credits:
0,40
Distance-base hours:
3,00
Departments involved
-
Dept:
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
-
Máster Universitario en Economics with Data Science
Course type: COMPULSORY (Year: 1)

