Games and Economic Behaviour

This information is for the 2021/22 session.

Teacher responsible

Dr Andrew Ellis 32L 3.15

Dr Christopher Sandmann


This course is available on the BSc in Econometrics and Mathematical Economics, BSc in Economics, BSc in Mathematics and Economics, BSc in Mathematics with Economics, BSc in Mathematics, Statistics and Business and BSc in Philosophy and Economics. This course is available as an outside option to students on other programmes where regulations permit and to General Course students.


Students should have completed Microeconomic Principles I (EC201), or Microeconomic Principles II (EC202), or equivalent. Fluency in calculus is essential, and some knowledge of analysis, probability theory, linear algebra and set theory is advantageous.

Course content

This course reviews fundamental concepts in economic theory and presents some of its most successful applications. The first part of the course consists of an introduction to auction theory. Auctions have been widely used to allocate spectrum licenses, drilling rights or central bank lending against collateral; their design is therefore of immediate practical concern. The theory, drawing on mechanism design, allows us to analyse what makes auctions desirable, how different formats compare, and tackle issues such as strategic entry, collusive behaviour, or allocative externalities. Our treatment will be strictly theoretical and cover fundamental issues, most importantly the revenue equivalence theorem. From here we will embark on an eclectic tour, covering issues relating to competition policy and auction design, and exploring connections with competitive markets and nonlinear pricing. The second part of the course will survey concepts in non-cooperative game theory and will introduce students to game theoretic modeling in economics. After setting up the primitives of the game theory framework, different solution concepts will be analysed with an emphasis on economic applications including bargaining, voting, communication, and matching.


15 hours of lectures and 10 hours of classes in the MT. 15 hours of lectures and 10 hours of classes in the LT.

This course is delivered through a combination of classes and lectures totalling a minimum of 50 hours across Michaelmas Term and Lent Term. This year, some or all of this teaching will be delivered through a combination of virtual classes, live streamed (recorded) lectures, and some flipped content delivered as short online videos.

Formative coursework

Solutions to the assigned problem sets are to be prepared before and will be discussed during classes. In addition, students are encouraged to submit up to four of the designated hand-in problem sets, two for each part, to receive feedback from class teachers.

Indicative reading

P. Klemperer, Why Every Economist Should Learn Some Auction Theory, Cambridge 2003. (available on the author’s website

V. Krishna, Auction Theory, Academic Press, 2009.

M. Osborne, An Introduction to Game Theory, Oxford University Press, 2003.



Exam (100%, duration: 3 hours, reading time: 15 minutes) in the summer exam period.

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Important information in response to COVID-19

Please note that during 2021/22 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the differing needs of students in attendance on campus and those who might be studying online. For example, this may involve changes to the mode of teaching delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.

Key facts

Department: Economics

Total students 2020/21: Unavailable

Average class size 2020/21: Unavailable

Capped 2020/21: No

Value: One Unit

Guidelines for interpreting course guide information

Personal development skills

  • Self-management
  • Problem solving
  • Application of numeracy skills