Syllabus

Title
2076 Games and Networks
Instructors
Prof. Lawrence Blume, Ph.D.
Contact details
  • Type
    PI
  • Weekly hours
    2
  • Language of instruction
    Englisch
Registration
08/31/21 to 09/30/21
Registration via LPIS
Notes to the course
Subject(s) Doctoral/PhD Programs
Dates
Day Date Time Room
Monday 10/04/21 09:00 AM - 11:00 AM TC.5.04
Monday 10/04/21 01:00 PM - 03:00 PM TC.4.02
Wednesday 10/06/21 09:00 AM - 12:00 PM TC.5.04
Thursday 10/07/21 09:00 AM - 12:00 PM TC.4.18
Monday 10/11/21 09:00 AM - 12:00 PM D2.0.030
Wednesday 10/13/21 09:00 AM - 12:00 PM D4.0.127
Thursday 10/14/21 09:00 AM - 10:00 AM TC.4.18
Monday 10/18/21 09:00 AM - 12:00 PM TC.5.04
Wednesday 10/20/21 09:00 AM - 12:00 PM EA.5.030

Contents

1. Introduction
2. Describing Networks
3. Random Networks
4. Markets on Networks
5. Games on Networks
   • Non-cooperative games on networks
      – quadratic games
      – econometric issues in network games
      – Public goods games
   • Learning
   • Diffusion
6. Endogenous Network Construction
   • Bipartite matchings
   • Pairwise stability

Learning outcomes

Students gain intimate knowledge of modern research methods in the area of games and networks.

Attendance requirements

Registration as PhD or doctoral student.

Teaching/learning method(s)

The course will mostly have a theoretical orientation, but the theory we will study points to empirical work. We will discuss statistical and econometric issues. Depending on time and interest, there is a possibility for students to present papers in the literature, perhaps even their own work.

Assessment

t.b.a.

Last edited: 2021-10-01



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