EKO639 - GAME THEORY

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
GAME THEORY EKO639 Any Semester/Year 3 0 3 7.5
PrequisitesNone
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Drill and Practice
 
Instructor (s)Academic Staff 
Course objectiveThe main objective of the course is to understand the key features of the game theory and its applications. The course focuses on the crucial role of strategic behaviour in economics and provides different solution paths for different game theoretic problems (Nash equilibrium and sub game perfect equilibrium). 
Learning outcomes
  1. At the end of this course, a student can understand the strategic behavior under game theory.
Course ContentSimultaneous move games: Normal form, dominant strategies and Nash equilibrium
Sequentially move dynamic games: Subgame perfect Nash equilibrium
Bayesian Nash Equilibrium
Application of game theory (economics) 
ReferencesDebreu, Gerard. A Theory of Value, New Haven: Yale University Press. (1959)
Fudenberg, D and Tirole, J. Game Theory. Cambridge: MIT Press. (1992)
Stokey, N. and Lucas, R. Recursive Methods in Economic Dynamics. Cambridge: MIT Press. (1989) 

Course outline weekly

WeeksTopics
Week 1Game theory: Players, strategies and payoffs.
Week 2Simultaneous move games: Normal form, dominant strategies
Week 3Simultaneous move games and Nash equilibrium
Week 4Sequentially move dynamic games
Week 5Subgame perfect Nash equilibrium
Week 6Nash Equilibrium, Subgame perfect Nash equilibrium ve equilibrium with threat
Week 7Presentation on Nash Equilibrium
Week 8Midterm
Week 9Bayesian Nash Equilibrium
Week 10Game theory applications of the firm theory: output, prices and entry-exit to the market
Week 11Nash Equilibrium in the Cournot, Bertrand and Stackelberg models
Week 12Unemployment and strategic interaction
Week 13Presentation on application of game theory (economics)
Week 14Trade and game theory
Week 15Central bank, monetary policies and strategic behaviour
Week 16Final

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation220
Project00
Seminar00
Midterms120
Final exam160
Total100
Percentage of semester activities contributing grade succes340
Percentage of final exam contributing grade succes160
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14570
Presentation / Seminar Preparation21122
Project12525
Homework assignment6212
Midterms (Study duration)11818
Final Exam (Study duration) 13636
Total Workload39100225

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. To develop and deepen the knowledge of economics to an expert level, building on the competencies of the undergraduate education.  X  
2. To comprehend the interaction between related disciplines and economics.   X  
3. To be able to apply the advanced level knowledge acquired in economics.    X
4. To create new knowledge by combining the knowledge of economics with the knowledge coming from other disciplines.   X 
5. To be able to critically evaluate the knowledge in economics, to lead learning and carry out advanced level research independently.    X 
6. To be able to develop new strategic approaches for unexpected, complicated situations in economics and take responsibility in solving them.    X 
7. To possess the communication network to bring up the economic and social needs of the region of residence on the agenda.   X  
8. To have sufficient social responsibility and awareness about the needs of society   X  
9. To be able to think analytically to identify problems in economics and to be able to make policy recommendations in economics based on scientific analysis of issues and problems.     X
10. To protect the social, scientific and ethical values at the data collection, interpretation and dissemination stages.    X 
11. To be able to use the skills of modeling, empirical analysis and formulating policy options that are developed for economics in interdisciplinary contexts.   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest