For students:

Advanced Microeconomics 4 (Information Economics, 5 cr)

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Code:
ECON-L2400
Field:
Microeconomics
Targets:
Research Master's students PhD students
Organiser:
Aalto University
Instructor:
Pauli Murto
Period:
Period 4
Format:
Lecture
Method:
Contact Teaching
Venue:
Economicum
Enrollment:
How to enroll?

In case of conflicting information consider the Sisu/MyCourses pages the primary source of information.

Hanken and UH economics students can enroll in their home university’s SISU! Further instructions can be found on the How to enroll? page, also for other students.

Before taking and completing the course make sure that the credits can be counted towards your degree at your home university by checking which courses are included in your curriculum or by contacting your home university’s student/learning services.

Lectures and exercises will be streamed for FDPE students (outside the capital region), but not for Helsinki GSE students (Aalto, Hanken and UH students). A link to the stream will be sent by Jenni Rytkönen in a separate email a few days before the course starts. If you don’t receive the link, please contact Jenni (jenni.rytkonen@aalto.fi).

  • To access the course workspace, use all the features and participate in the activities (assignments, discussions), you must have successfully registered for the course in Sisu and logged in with your Aalto user ID.
  • For more information on how to activate your Aalto user ID and register for a MyCourses course area, click here.

Content

  • Adverse selection and mechanism design.
  • Moral hazard and imperfect monitoring.
  • Dynamic models of incomplete information including signaling and cheap talk.
  • Selected applications, for example: auctions, bargaining, market microstructure, reputation formation.

Learning outcomes

This course introduces the students to topics and methods in modern information economics at the graduate level. After taking this course, the students are familiar with the analytical techniques used in microeconomics and have the necessary skills for modeling interactions under incomplete information.