EC220: Mathematical Economics 1A
Costas Cavounidis
Module Leader
Principal Aims
Mathematical Economics 1A, "Game Theory," is an introduction to the rigorous mathematical study of strategic interactions. Students will learn how game theorists model such interactions, and how those models can be analyzed. By the end of the module, they will have developed a formidable toolbox of game-theoretic techniques, and will be familiar with a variety of applications of these techniques to real-world situations, both economic and otherwise.
Principal Learning Outcomes
12 CATSSubject Specific and Professional Skills:...demonstrate understanding of the tools of game theory, and the ability to apply them to wide classes of problems. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, seminars, guided reading and independent study. The summative assessment methods that measure the achievement of this learning outcome are: examination
15 CATSSubject Specific and Professional Skills:...demonstrate understanding of the tools of game theory, and the ability to apply them to wide classes of problems. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, seminars, guided reading and independent study. The summative assessment methods that measure the achievement of this learning outcome are: Tests and examination
Syllabus
The module will typically cover the following topics: Games in strategic form: Nash equilibrium and its applications to voting games, oligopoly, provision of public goods .Games in extensive form: sub game perfect equilibrium and its applications to voting games, repeated games. Static games with incomplete information: Bayesian equilibrium and its applications to auctions, contracts and mechanism design. Dynamic games of incomplete information: Perfect Bayesian equilibrium, Sequential equilibrium and its application to signalling games. Bargaining theory: Nash bargaining, non-cooperative bargaining with alternating offers and applications to economic markets. Evolutionary Game Theory Evolutionary game theory.
15 CATSThe module will typically cover the following topics:Games in strategic form: Nash equilibrium and its applications to voting games, oligopoly, provision of public goods.Games in extensive form: sub game perfect equilibrium and its applications to voting games, repeated games.Static games with incomplete information: Bayesian equilibrium and its applications to auctions, contracts and mechanism design.Dynamic games of incomplete information: Perfect Bayesian equilibrium, Sequential equilibrium and its application to signalling games.Bargaining theory: Nash bargaining, non-cooperative bargaining with alternating offers and applications to economic markets.Evolutionary Game Theory
Context
- Core Module
- Y602 - Year 2, G300 - Year 2
- Optional Core Module
- GL11 - Year 2, GL12 - Year 2
- Optional Module
- L100 - Year 2, L1P5 - Year 1, L1PA - Year 1, LM1D (LLD2) - Year 2, V7MP - Year 2, V7MP - Year 3, V7MR - Year 2, V7MR - Year 3, V7MM - Year 4, V7ML - Year 2, G100 - Year 2, G100 - Year 3, G103 - Year 2, G103 - Year 3, R9L1 - Year 4, R3L4 - Year 4, R4L1 - Year 4, R2L4 - Year 4, R1L4 - Year 4, L1L8 - Year 2, L1L8 - Year 3, LA99 - Year 2, LA99 - Year 3
- Pre or Co-requisites
- 12 CATS - EC106 for MORSE students Modules: EC106-24 15 CATS - EC106 or EC107 for GL11 and other Maths students Modules: EC106-24 or EC107-30 or EC109-30 or EC137-15 or (EC121-12 and EC122-12 and EC125-6) or (EC123-12 and EC124-12 and EC125-6)
- Part-year Availability for Visiting Students
- 12 CATS - Not available on a part-year basis 15 CATS - Available in the Autumn term only (1 x test – 12 CATS)
Assessment
- Assessment Method
- 12 CATS - 2 hour examination (summer) (100%) 15 CATS - Coursework (20%) + 2 hour exam (summer) (80%)
- Coursework Details
- 12 CATS , 2 hour exam (summer) (80%)
- Exam Timing
- N/A
Exam Rubric
Time Allowed: 2 Hours
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