Competencies and objectives
- Course context for academic year 2017-18
- Course content (verified by ANECA in official undergraduate and Master’s degrees)
- Learning outcomes (Training objectives)
- Specific objectives stated by the academic staff for academic year 2017-18
Course context for academic year 2017-18
This is a second optional course in macroeconomic theory. The other two courses are Advanced Macroeconomics I and Topics in Advanced Macroeconomics.
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.
Learning outcomes (Training objectives)
No data
Specific objectives stated by the academic staff for academic year 2017-18
This course studies computational approaches for solving dynamic economic models. It has three parts. It provides a background in computational techniques, describes numerical methods for solving dynamic economic models and shows applications from the recent literature that represent challenges to computational methods. First, we study models with a finite, large number of state variables (e.g., large scale models of international trade, new Keynesian economies) and show how to solve these models using Smolyak, ergodic-set and perturbation methods. Second, we analyze models with a continuum of state variables and show how to treat these models with Krusell-Smith and other methods. Third, we discuss applications of numerical methods to dynamic games including the models with time-inconsistency. Finally, we survey the recent development in software and hardware including GPUs, parallel computing and supercomputers. The programming languages are MATLAB, DYNARE and C.
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