Due to the COVID-19 crisis, the information below is subject to change,
in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
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
Due to the COVID-19 crisis, the information in this section is particularly likely to change.
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.
Evaluation methods
Due to the COVID-19 crisis, the information in this section is particularly likely to change.
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
