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
15.0 h
Q1 and Q2
Language
English
Content
Network Science and Economics
The goal of the course is to provide the tools for understanding how and why networks form, how they influence behavior in an interactive world, how they shape collective decision making, opinion formation, and diffusion dynamics. The course puts emphasis on economic models of network formation (R&D collaborations; Interantional trade; Labor market; Risk-sharing; Pricing).
Content:
The goal of the course is to provide the tools for understanding how and why networks form, how they influence behavior in an interactive world, how they shape collective decision making, opinion formation, and diffusion dynamics. The course puts emphasis on economic models of network formation (R&D collaborations; Interantional trade; Labor market; Risk-sharing; Pricing).
Content:
- Representing, Measuring and Analyzing Networks
- Learning and Diffusion on Networks
- Games and Behavior on Networks
- Game-Theoretic Modeling of Network Formation
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 (25%) + Presentation of a research article (50%) + Writing of a research proposal (25%)
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).
Faculty or entity
ECON
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Economics: Econometrics
