
Understanding the transmission mechanisms of macroeconomic shocks is key to design effective economic policies and assess macroeconomic theories. This course offers you the latest and most important techniques and methods to identify structural shocks and measure their effects. After this course, which include both theory sessions and hands-on exercises in practical sessions, you will be able to apply these methods to your own research.
The objective of this course is twofold:
The first part of the course will cover Structural Vector Autoregressive models, with special attention to shock identification strategies. It will also present a nonlinear extension of the standard model represented by the Smooth Transition SVAR.
In the second part of the course, we will discuss how to perform structural macroeconomic analysis with large-N structural models, namely Factor Augmented SVARs and Factor Models. Special emphasis will be put on how these models can cope with the problem of limited information sets typically arising in SVARs.
The course includes theory sessions (10 hours) and practical sessions (10 hours). In the practical sessions, you will work in MATLAB to implement the techniques and methodologies covered in the theory lectures.
You will participate in an active and fruitful environment with international colleagues without incurring high costs, thanks to the online live delivery of this course.
Sessions will be recorded and videos will be available for a month once the course has finished.
This course will be taught online but it will be live and interactive.
ONLINE | |
Regular Fee | 1300 € |
Reduced Fee | 775 € |
10% early-bird discount applies to payments made on or before January 5, 2024 at 23:59 (CET)
ONLINE | |
Regular Fee | 1300 € |
Reduced Fee | 775 € |
10% early-bird discount applies to payments made on or before January 5, 2024 at 23:59 (CET)
ONLINE | |
Regular Fee | 1300 € |
Reduced Fee | 775 € |
10% early-bird discount applies to payments made on or before January 5, 2024 at 23:59 (CET)
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