Prof Olivier Gossner COL 2.04

This course is available on the BSc in Accounting and Finance, BSc in Data Science, BSc in Econometrics and Mathematical Economics, BSc in Economics, BSc in Management, BSc in Mathematics and Economics, BSc in Mathematics with Data Science, BSc in Mathematics with Economics, BSc in Mathematics, Statistics and Business and BSc in Psychological and Behavioural Science. This course is available as an outside option to students on other programmes where regulations permit. This course is available with permission to General Course students.

Familiarity with a rigorous treatment of mathematics (through definitions, theorems and proofs) is expected. Basic knowledge of matrices as covered in Mathematical Methods (MA100) or Quantitative Methods (MA107) as well as some knowledge of probability is required. Recommended: MA301 Mathematical Game Theory, otherwise with approval from the MA330 lecturer.

Coalitional game theory - central solution concepts and applications to economics: games with transferable utility, the Core, Shapley value, market games, social choice, stable matching.

This course is delivered through a combination of classes and lectures totalling a minimum of 30 hours across Winter Term.

Written answers to set problems will be expected on a weekly basis.

Lecture notes will be provided, as well as references to selected papers. Further reading: M Maschler, E Solan, S Zamir: Game Theory, Cambridge University Press 2020.

Exam (90%, duration: 2 hours) in the spring exam period.
Continuous assessment (10%).