Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
5 credits
30.0 h
Q2
Teacher(s)
Vannetelbosch Vincent;
Language
English
Main themes
Game theory is a bag of analytical tools designed to help us to undestand the phenoma that we observe wen decision makers interact.
Content
Topics in Game Theory
Part A Network Science and Economics
Part A Network Science and Economics
- Representing, Measuring and Analyzing Networks
- Learning and Diffusion on Networks
- Games and Behavior on Networks
- Game-Theoretic Modeling of Network Formation
- The Basic Matching Model
- The Medical Match
- Assignment Markets
- School Allocation
- Course Allocation
- Kidney Exchange
Teaching methods
The course consists of lectures. The topics will be introduced during the lectures.
Compulsory homeworks will be assigned to students. Reading assignments are also possible.
Compulsory homeworks will be assigned to students. Reading assignments are also possible.
Evaluation methods
Homework (50%) + Presentation of a research article (50%)
Online resources
Slides, homeworks, exercises, compulsory readings will be available on the course webpage on Moodle UCL (http://moodleucl.uclouvain.be/).
Bibliography
- Social and economic networks by Matthew O. Jackson, Princeton University Press (2008).
- Connections by Sanjeev Goyal, Princeton University Press (2007).
- Network science by Albert-Laszlo Barabasi, Cambridge University Press (2016).
- The Oxford handbook of the economics of networks edited byYann Bramoullé, Andrea Galeotti and Brian W. Rogers, Oxford University Press (2016).
- Market design: auctions and matching, by Guillaume Haeringer, MIT Press (2018).
Faculty or entity
ECON
