Degree | Type | Year |
---|---|---|
4313805 Economic Analysis | OT | 2 |
You can view this information at the end of this document.
There are no specific prerequisits
This module presents some of the most widely used theoretical and empirical models in modern macroeconomics. By providing solid theoretical foundations, the goal of this module is to bring the student to frontier applications in macroeconomics and finance and open new lines of research. Students will also learn state of the art techniques for policy evaluation.
For a detailed description of the content of topics in this module go to https://sites.google.com/view/idea-program/master-program .
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Theory classes | 75 | 3 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 |
Type: Supervised | |||
Practical classes, problems sets, tutorials | 25 | 1 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 |
Type: Autonomous | |||
Personal study, study groups, textbook readings, article readings | 150 | 6 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 |
The course will consist of sessions where the instructor presents the material, and sessions specifically dedicated to problem solving. Students are encouraged to form study groups to discuss assignments and readings.
The proposed teaching methodology may undergo some modifications according to the restrictions imposed by the health authorities on on-campus courses.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Class Attendance and Problem sets and assignments | 22% | 0 | 0 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 |
Midterm Exam | 26% | 0 | 0 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 |
Midterm Exam | 26% | 0 | 0 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 |
Midterm Exam | 26% | 0 | 0 | 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 |
This modul does not contemplate an evaluation from a single comprehensive exam
Midterm Exam |
26% |
Midterm Exam |
26% |
Midterm Exam |
26% |
Problem sets, assignments & Class attendance and active participation |
22% |
The proposed evaluation activities may undergo some changes according to the restrictions imposed by the health authorities on on-campus courses.
Aghion, P. and Bolton, P. (1992), “An Incomplete Contracts Approach to Financial Contracting,” Review of Economic Studies 59: 473-494.
Akerlof, G. (1970), “The Market for Lemmons, Quality Uncertainty and the Market Mechanism,” Quarterly Journal of Economics 84: 488-500.
Allen, F. and Michaely, R. (1995), “Dividend Policy,” in Handbooks of Operation Research and Management Science: Finance (ed. Jarrow, R., Maksimovic, V. and Ziemba, W.), Amsterdam: North-Holland.
Brealey, R.A. and Myers, S.C. (1997), “Principles of Corporate Finance,” New York McGraw-Hill.
Brockwell, P. J. and R. A. Davis, (2009), Time Series: Theory and Methods, Springer-Verlag: Berlin
Camacho, M., G. Pérez Quirós and H. Rodríguez Mendizábal (2013): “Mixing the Ingredients: Business cycles, Technology Shocks, Productivity Slowdown and the Great Moderation”, unpublished manuscript
Canova F. (2007), Methods for Applied Macroeconomic Research, Princeton University Press: Princeton
Christiano, L. J., M. Eichenbaum, and C. L. Evans (1999): “Monetary Policy Shocks: What Have We Learned and to What End?,” in J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2: 65-148, Elsevier.
Cooley, T. F. and G. D. Hansen (1995): “Money and the Business Cycle,” in T. F. Cooley (ed.) Frontiers of Business Cycle Research, Princeton University Press.
Gali, J. (1999): “Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?” American Economic Review, 89(1): 249-271.
Hamilton J. D. (1994), Time Series Analysis, Princeton University Press: Princeton
Lutkepohl H. (2005), New Introduction to Multiple Time Series, Springer-Verlag: Berlin
Tirole, J. (2006), “The Theory of Corporate Finance,” Princeton University Press.
Additional references will be provided during the course.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PLABm) Practical laboratories (master) | 1 | English | second semester | morning-mixed |
(PLABm) Practical laboratories (master) | 2 | English | second semester | morning-mixed |
(PLABm) Practical laboratories (master) | 3 | English | second semester | morning-mixed |
(TEm) Theory (master) | 1 | English | second semester | morning-mixed |