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UE744 - Networks Economics


Lieu et planning


  • 48 bd Jourdan
    48 bd Jourdan 75014 Paris
    1er semestre / hebdomadaire, lundi 09:30-12:30
    du 19 septembre 2022 au 23 décembre 2022
    Nombre de séances : 18


Description


Dernière modification : 20 mai 2022 14:23

Type d'UE
Enseignements fondamentaux de master
Disciplines
Économie
Page web
-
Langues
anglais
L’enseignement est uniquement dispensé dans cette langue.
Mots-clés
Information Mathématiques et sciences sociales Méthodes quantitatives Réseaux sociaux
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


  • Séminaires de tronc commun – Analyse et politique économiques – M2/S3
    Suivi et validation – semestriel hebdomadaire = 6 ECTS
    MCC – fiche de lecture, examen

Renseignements


Contacts additionnels
-
Informations pratiques
-
Direction de travaux des étudiants

sur rendez-vous.

Réception des candidats

sur demande par messagerie.

Pré-requis
-

Dernière modification : 20 mai 2022 14:23

Type d'UE
Enseignements fondamentaux de master
Disciplines
Économie
Page web
-
Langues
anglais
L’enseignement est uniquement dispensé dans cette langue.
Mots-clés
Information Mathématiques et sciences sociales Méthodes quantitatives Réseaux sociaux
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.

 

  • Séminaires de tronc commun – Analyse et politique économiques – M2/S3
    Suivi et validation – semestriel hebdomadaire = 6 ECTS
    MCC – fiche de lecture, examen
Contacts additionnels
-
Informations pratiques
-
Direction de travaux des étudiants

sur rendez-vous.

Réception des candidats

sur demande par messagerie.

Pré-requis
-
  • 48 bd Jourdan
    48 bd Jourdan 75014 Paris
    1er semestre / hebdomadaire, lundi 09:30-12:30
    du 19 septembre 2022 au 23 décembre 2022
    Nombre de séances : 18