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UE331 - Networks Economics


Lieu et planning


  • 48 bd Jourdan
    48 bd Jourdan 75014 Paris
    1er semestre / hebdomadaire, mardi 09:00-11:00
    du 15 septembre 2020 au 12 janvier 2021


Description


Dernière modification : 26 mai 2020 05:42

Type d'UE
Enseignements fondamentaux de master
Disciplines
Économie
Page web
-
Langues
anglais
Mots-clés
Économie Jeux
Aires culturelles
-
Intervenant·e·s
  • Gabrielle Demange [référent·e]   directrice d'études, EHESS / Paris School of Economics (PJSE)

Standard economic theory has recently recognized the role of networks in shaping everyday economic life.  After introducing the basic concepts for analyzing networks, we will study models of learning and diffusion in networks and present the economic approaches to network formation based on game theory to model incentives to form links. A large part is devoted to present applications and recent empirical works to illustrate the approach.

Standard economic theory has recently recognized the role of networks in shaping everyday economic life. Social, economic, and online networks are primary conduits of information, from basic word-of-mouth communication of ideas and availability of products to more sophisticated learning and opinion formation.  Networks are also important in conveying information about agents' behaviors, and in providing them with incentives to behave efficiently, including sharing risks and favors, and information about valuable opportunities. Finally, social networks deeply affect the extent, speed, and shape of different processes of propagation, ranging from disease to innovation.  We will examine models and data that shed light on how social network structure affects such phenomena.
The first part of the course introduces the basic concepts for analyzing networks: statistics, values to positions. Then it analyzes games on networks, studies models of learning and diffusion in networks, and presents the economic approaches to network formation based on game theory to model incentives to form links. The second part will present numerous applications and recent empirical works to illustrate the approach.


Master


  • Méthodologie – Analyse et politique économiques – M2/S3
    Suivi et validation – semestriel hebdomadaire = 6 ECTS
    MCC – contrôle continu, examen, exposé oral

Renseignements


Contacts additionnels
lucia-roxana.ban@psemail.eu
Informations pratiques

Lucia-Roxana Ban par courriel.

Direction de travaux des étudiants

sur rendez-vous.

Réception des candidats

Lucia-Roxana Ban par courriel.

Pré-requis
-

Compte rendu


This course (taught with F. Bloch and M. Comola) is an introductory course on networks in economics.

Standard economic theory has recently recognized the role of networks in shaping everyday economic life. Social, economic, and online networks are primary conduits of information, from basic word-of-mouth communication of ideas and availability of products to more sophisticated learning and opinion formation.  Networks are also important in conveying information about agents' behaviors, and in providing them with incentives to behave efficiently, including sharing risks and favors, and information about valuable opportunities. Finally, social networks deeply affect the extent, speed, and shape of different processes of propagation, ranging from disease to innovation.  We examine models and data that shed light on how social network structure affects such phenomena.

The first part of the course introduces the basic concepts for analyzing networks: statistics, values to positions. Then it analyzes games on networks, studies models of learning and diffusion in networks, and presents the economic approaches to network formation based on game theory to model incentives to form links. The second part has presented applications to ‘targeting’ strategies and propagation of macroeconomic shocks, as well as econometric methods to analyze network formation.

 

Publications
  • Avec Francis Bloch, "Profit-splitting rules and the taxation of multinational digital platforms", International Tax and Public Finance, 2021, p. 1-35. Vox column
  • Avec Jean-Edouard Colliard, "Asset Dissemination through Dealer Markets",  Management Science 2021, online https://doi.org/10.1287/mnsc.2020.3779

  • Avec Karine Van der Straeten, “Communicating on electoral platforms”, online 2017 Journal of Economic Behavior & Organization  Volume 174, 2020, p. 402-419.
  • Avec Robert Fenge et Silke Uebelmesser, "Competition in the quality of higher education: The impact of student mobility", International Tax and Public Finance 27(5), 2020, p. 1224-1263.

Dernière modification : 26 mai 2020 05:42

Type d'UE
Enseignements fondamentaux de master
Disciplines
Économie
Page web
-
Langues
anglais
Mots-clés
Économie Jeux
Aires culturelles
-
Intervenant·e·s
  • Gabrielle Demange [référent·e]   directrice d'études, EHESS / Paris School of Economics (PJSE)

Standard economic theory has recently recognized the role of networks in shaping everyday economic life.  After introducing the basic concepts for analyzing networks, we will study models of learning and diffusion in networks and present the economic approaches to network formation based on game theory to model incentives to form links. A large part is devoted to present applications and recent empirical works to illustrate the approach.

Standard economic theory has recently recognized the role of networks in shaping everyday economic life. Social, economic, and online networks are primary conduits of information, from basic word-of-mouth communication of ideas and availability of products to more sophisticated learning and opinion formation.  Networks are also important in conveying information about agents' behaviors, and in providing them with incentives to behave efficiently, including sharing risks and favors, and information about valuable opportunities. Finally, social networks deeply affect the extent, speed, and shape of different processes of propagation, ranging from disease to innovation.  We will examine models and data that shed light on how social network structure affects such phenomena.
The first part of the course introduces the basic concepts for analyzing networks: statistics, values to positions. Then it analyzes games on networks, studies models of learning and diffusion in networks, and presents the economic approaches to network formation based on game theory to model incentives to form links. The second part will present numerous applications and recent empirical works to illustrate the approach.

  • Méthodologie – Analyse et politique économiques – M2/S3
    Suivi et validation – semestriel hebdomadaire = 6 ECTS
    MCC – contrôle continu, examen, exposé oral
Contacts additionnels
lucia-roxana.ban@psemail.eu
Informations pratiques

Lucia-Roxana Ban par courriel.

Direction de travaux des étudiants

sur rendez-vous.

Réception des candidats

Lucia-Roxana Ban par courriel.

Pré-requis
-
  • 48 bd Jourdan
    48 bd Jourdan 75014 Paris
    1er semestre / hebdomadaire, mardi 09:00-11:00
    du 15 septembre 2020 au 12 janvier 2021

This course (taught with F. Bloch and M. Comola) is an introductory course on networks in economics.

Standard economic theory has recently recognized the role of networks in shaping everyday economic life. Social, economic, and online networks are primary conduits of information, from basic word-of-mouth communication of ideas and availability of products to more sophisticated learning and opinion formation.  Networks are also important in conveying information about agents' behaviors, and in providing them with incentives to behave efficiently, including sharing risks and favors, and information about valuable opportunities. Finally, social networks deeply affect the extent, speed, and shape of different processes of propagation, ranging from disease to innovation.  We examine models and data that shed light on how social network structure affects such phenomena.

The first part of the course introduces the basic concepts for analyzing networks: statistics, values to positions. Then it analyzes games on networks, studies models of learning and diffusion in networks, and presents the economic approaches to network formation based on game theory to model incentives to form links. The second part has presented applications to ‘targeting’ strategies and propagation of macroeconomic shocks, as well as econometric methods to analyze network formation.

 

Publications
  • Avec Francis Bloch, "Profit-splitting rules and the taxation of multinational digital platforms", International Tax and Public Finance, 2021, p. 1-35. Vox column
  • Avec Jean-Edouard Colliard, "Asset Dissemination through Dealer Markets",  Management Science 2021, online https://doi.org/10.1287/mnsc.2020.3779

  • Avec Karine Van der Straeten, “Communicating on electoral platforms”, online 2017 Journal of Economic Behavior & Organization  Volume 174, 2020, p. 402-419.
  • Avec Robert Fenge et Silke Uebelmesser, "Competition in the quality of higher education: The impact of student mobility", International Tax and Public Finance 27(5), 2020, p. 1224-1263.