ULMS Electronic Module Catalogue
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title Game Theory and Applications
Code ECON813
Coordinator Dr CW Bach
Economics
C.W.Bach@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2020-21 Level 7 FHEQ First Semester 15

Pre-requisites before taking this module (other modules and/or general educational/academic requirements):
 

Modules for which this module is a pre-requisite:
 

Programme(s) (including Year of Study) to which this module is available on a required basis:
 

Programme(s) (including Year of Study) to which this module is available on an optional basis:
 

Teaching Schedule
  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours   16

       20

 36
Timetable (if known)              
Private Study 114
TOTAL HOURS 150

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Examination There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When): Semester 1  24 hours    80       
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Mid-term test There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When): Semester 1  24 hours    20       

Aims

The objective of the module is to provide a graduate level  introduction to game theory. This is the study of strategic interactions, i.e. situations where outcomes depend not only on our own actions but also how others react to our actions.

Learning Outcomes

(LO1) Conduct advanced microeconomic analysis by formulating a game and its associated solution concepts and deriving solutions to games.

(LO2) Distinguish between types of games.

(LO3) Apply games in a range of economic, business and social contexts.

(S1) Problem solving skills

(S2) Numeracy

(S3) Communication skills

Teaching and Learning Strategies

Hybrid delivery, with social distancing on campus.

Online asynchronous learning materials x 20 hours

Face-to-face seminars x 16 hours

Self-directed learning x 114 hours (independent study of topics explored in lectures)

Syllabus
 

PART I - Static Games along the main threads:

Rational Choice;
Common Belief in Rationality;
Iterated Strict Dominance;
Simple Belief Hierarchies;
Nash Equilibrium;
Common Prior Assumption (if time permits);
Correlated Equilibrium (if time permits).

PART II – Incomplete Information along the main threads:

Generalised Iterated Strict Dominance;
Bayesian Equilibrium;
Generalised Nash Equilibrium.

PART III – Dynamic Games along the main threads:

Extensive Form;
Informational Assumptions: Perfect Information, Semi-Imperfect Information, Imperfect Information;
Common Belief in Future Rationality;
Backward Dominance;
Common Strong Belief in Rationality;
Forward Induction.

Recommended Texts
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.