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.
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
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.
The students receive oral collective feedback during the content
of the lectures.
Each student receives written individual feedback on the mandatory
assignments.
For enrolled students: Rules etc at Master(UK) and Master(DK)
When registered you will be signed up for exam.
- Full-degree students – sign up at Selfservice on KUnet
- Exchange and guest students from abroad – sign up through Mobility Online and Selfservice- read more through this website.
- Credit students from Danish universities - sign up through this website.
- Open University students - sign up through this website.
The dates for the exams are found here Exams – Faculty of Social Sciences - University of Copenhagen (ku.dk)
Please note that it is your own responsibility to check for overlapping exam dates
- 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".
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Kursusinformation for indskrevne studerende