Competencies and objectives

 

Course context for academic year 2025-26

The aim of this module is to learn econometric models that will allow the student to assess the effects of economic shocks—such as monetary policy shocks, technology shocks, fiscal policy shocks, or demand shocks—on macroeconomic variables over time. This is an essential toolbox used by central banks and research institutions that assess and evaluate macroeconomic policies.

 

 

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
  • RA13 : Know how to apply data science techniques to real economic problems, both for research and decision-making

 

Conocimientos/Contenidos

  • RA01 : Understand the fundamental theoretical framework of economics at a rigorous formal level

 

Skills/Competences

  • RA02 : Deeply understand and apply descriptive, causal, and predictive analysis methods applied to economics
  • RA04 : Formulate relevant economic problems precisely and provide appropriate solutions using theoretical, empirical, or simulation-based analysis
  • RA06 : Master effective communication of research findings, using clear and precise approaches to convey complex information in an accessible and comprehensible way
  • RA14 : Be able to develop and learn autonomously about topics related to Economics and Data Science

 

 

 

Learning outcomes (Training objectives)

  • Specify and estimate structural macroeconomic models.
  • Use programming tools for empirical analysis of macroeconomic models.
  • Perform causal inference for economic shocks.
  • Use programming tools to forecast high-, medium-, and low-frequency economic variables.
  • Replicate and extend empirical analysis of macroeconomic policies (monetary, fiscal, macroprudential).
  • Improve simulation exercises used in macroeconomic research.

 

 

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

Be able to specify and estimate structural models in macroeconomics.

Be able to apply programming tools for the empirical analysis of macroeconomic models.

Be able to infer the causal impact of economic shocks.

Be able to apply programming tools to forecast economic variables with high, medium, and low frequency.

Be able to replicate and extend the empirical analyses of macroeconomic policies such as monetary, fiscal, and macroprudential policy.

Be able to improve the simulation exercises on which the conclusions of other authors' research articles are based.

 

 

General

Code: 49179
Lecturer responsible:
Franjo García, Luis
Credits ECTS: 3,00
Theoretical credits: 0,80
Practical credits: 0,40
Distance-base hours: 1,80

Departments involved

  • Dept: Economic Analysis
    Area: FOUNDATIONS OF ECONOMIC ANALYSIS
    Theoretical credits: 0,8
    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