Advanced Game Theory

Course content

The course covers the standard parts of non-cooperative game theory, focusing mostly on dynamic games. The teaching covers the most important solution concepts for strategic and extensive form games. We cover different approaches to sequential rationality in dynamic games. Also, the theory of games under uncertainty is discussed, leading to the extension of the solution concepts previously encountered. Furthermore, we study specific classes of games (e.g. supermodular games and global games) that are often used in economic theory. Finally, we illustrate a more axiomatic approach by discussing the basics of social choice theory.

 

We will formally show under which assumptions the covered solution concepts exist and derive certain properties. We will then illustrate and apply the solution concepts in examples and exercises.

 

This is a mathematically oriented course of game theory and covers topics as:

  • Strategic form games: Pure and mixed strategies, dominant and dominated strategies, rationalizable strategies, Nash equilibrium
  • Extensive form games: Sequential rationality, backward induction, sub-game perfect equilibrium, sequential equilibrium
  • Dynamic games of complete information: Bargaining games, repeated games
  • Games of incomplete information: Bayesian Nash equilibrium, perfect Bayesian equilibrium

 

A detailed lecture schedule will be published in Absalon at the start of the term.

Education

MSc programme in Economics – elective course
 

The PhD Programme in Economics at the Department of Economics:

  • The course is an elective course with research module. PhD students must contact the study administration AND the lecturer in order to register for the research module and write the research assignment.
  • The course is a part of the admission requirements for the 5+3 PhD Programme. Please consult the 5+3 PhD admission requirements.
     

The course is open to:

  • Exchange and Guest students from abroad
  • Credit students from Danish Universities
  • Open University students
Learning outcome

After completing the course the student is expected to be able to:

 

Knowledge:

  • Define and critically discuss the key solution concepts in game theory.
  • Prove main theorems in game theory.

 

Skills:

  • Solve static and dynamic games with full rigor.
  • Formulate game theory models and solve.
  • Evaluate the implications of a chosen modelling approach and solution concept.
  • Apply theoretical analysis on chosen topics.
  • Analyse situations where strategic behaviour is important.
  • Read and evaluate research articles that apply game theory as the method of analysis.
  • Search for relevant research articles independently.

 

Competences:

  • Master the broad analytical approach on game theory when analyzing and solving questions where strategic behavior plays a role in complex and unpredictional situations.
  • Find new suitable sources to expand the learned knowledge and skills on game theory when facing questions in new contexts.

The course is structured in three kind of classes:
- Basic lectures, where we will go through the main theory with applications, focusing on understanding the key concepts illustrated by a lot of examples.
- Advanced lectures, where we discuss different games on a more abstract level and prove the main theorems.
- Seminar classes discussing research papers and apply game theory to real world problems.

George Mailath (2020): ”Modeling Strategic Behavior: A Graduate Introduction to Game Theory and Mechanism Design” (pdf available for free on the author’s website:   https://web.sas.upenn.edu/gmailath/books/modeling-strategic-behavior/).

Including lecture notes and journal articles.

The student should have a sound knowledge of game theory and decision under uncertainty from the courses Microeconomics III and Microeconomics II.

It is strongly recommended to have followed Microeconomics III prior taking Advanced Game Theory.

Schedule:
2 hours lectures one to 2 times a week from week 6 to 20.

Oral
Collective

 

The students receive oral collective feedback during the content of the lectures.
Each student receives written individual feedback on the mandatory assignments.

ECTS
7,5 ECTS
Type of assessment
On-site written exam, 3 hours under invigilation
Type of assessment details
ITX-exam in the venues of the university.
Examination prerequisites

To qualify for the exam the student must no later than the given deadlines during the course:

  • Hand ind and have approved 3 out of 4 mandatory assignments.
Aid
No aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
Exam period

Exam information:

The examination date can be found in the exam schedule  here

The exact time and room will be available in  the Digital Exam  from the middle of the semester.

For enrolled students more information about examination, rules etc. is available at Master students (UK) and Master students (DK).

Re-exam

Reexamination form is the same as the ordinary exam form.


Reexam information:

The reexamination date/period can be found in the reexam schedule  here

Info is available in Digital Exam early August.

More info at Master(UK) and Master(DK).

Criteria for exam assessment

Students are assessed on the extent to which they master the learning outcome for the course.

 

In order to obtain the top grade “12”, the student must with no or only a few minor weaknesses be able to demonstrate an excellent performance displaying a high level of command of all aspects of the relevant material and can make use of the knowledge, skills and competencies listed in the learning outcomes.

 

In order to obtain the passing grade “02”, the student must in a satisfactory way be able to demonstrate a minimal acceptable level of  the knowledge, skills and competencies listed in the learning outcomes.

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 42
  • Preparation
  • 161
  • Exam
  • 3
  • English
  • 206

Kursusinformation

Language
English
Course number
AØKK08408U
ECTS
7,5 ECTS
Programme level
Full Degree Master
Ph.D.
Duration

1 semester

Placement
Spring
Price

Information about admission and tuition fee:  Master and Exchange Programme, credit students and guest students (Open University)

Studyboard
Department of Economics, Study Council
Contracting department
  • Department of Economics
Contracting faculty
  • Faculty of Social Sciences
Course Coordinator
  • Julia Salmi   (11-707b726f6734796772736f466b69757434717b346a71)
Teacher

See "Course Coordinators".

Saved on the 30-04-2025

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