PhD/Research MSc course on Imperfect knowledge and learning in macroeconomics
- https://www.fdpe.fi/current-courses-and-workshops/phd-research-master-course-on-imperfect-knowledge-and-learning-in-macroeconomics
- PhD/Research MSc course on Imperfect knowledge and learning in macroeconomics
- 2019-11-21T11:00:00+02:00
- 2019-11-28T14:00:00+02:00
- The course analyses expectations and learning in dynamic stochastic macroeconomics. We develop techniques for solving for rational expectations equilibrium (REE) and examine whether economic agents endowed imperfect knowledge but following statistical learning schemes will over time converge to REE. Cases where learning can lead to non-REE learning dynamics and dynamic paths of temporary equilibria are also considered. The approach has yielded important implications for different aspects of macroeconomic policy. Monetary policy has in particular been studied. A range of other applications are also discussed.
- When Nov 21, 2019 11:00 AM to Nov 28, 2019 02:00 PM (Europe/Helsinki / UTC200)
- Where Helsinki, Arkadiankatu 7, Economicum building, seminar room 3-4
- Contact Name Jenni Rytkönen
- Web Visit external website
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Instructor: Professor Emeritus Seppo Honkapohja (Aalto University)
Place: Helsinki, Arkadiankatu 7, Economicum building, seminar room 3-4
Schedule:
Thu | November 21 | 11-14 | lectures |
Fri | November 22 | 9-12 | lectures |
Tue | November 26 | 12-14 | lectures |
Wed | November 27 | 12-14 | lectures |
Thu | November 28 | 12-14 | lectures |
Thu | December 19 | 9-12 | exam |
Thu | February 13 | 9-12 | retake exam |
Host University: Aalto University
Prerequisites for the course: Advanced Macroeconomics 1 - 4 or Macroeconomics 1 - 2 in HGSE program or equivalent knowledge.
Instructions on how to apply/register for the course:
- Finnish PhD / Research MSc students in Economics: please see the Helsinki GSE web page How to enroll?
- Foreign PhD students and all the others: please contact info-hgse@aalto.fi
For more information see Aalto University's WebOodi page
Overview:
The course analyses expectations and learning in dynamic stochastic macroeconomics. We develop techniques for solving for rational expectations equilibrium (REE) and examine whether economic agents endowed imperfect knowledge but following statistical learning schemes will over time converge to REE. Cases where learning can lead to non-REE learning dynamics and dynamic paths of temporary equilibria are also considered. The approach has yielded important implications for different aspects of macroeconomic policy. Monetary policy has in particular been studied. A range of other applications are also discussed.