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PEERS SIGNED

Peer effects and endogenous network formation

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "PEERS" data sheet

The following table provides information about the project.

Coordinator
FUNDACIÓ MARKETS, ORGANIZATIONS AND VOTES IN ECONOMICS 

Organization address
address: CAMPUS DE BELLATERRA DE LA UNIVERSIDAD AUTONOMA DE BARCELONA SN EDIFICIO B
city: CERDANYOLA DEL VALLÈS
postcode: 8193
website: www.movebarcelona.eu

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website http://www.movebarcelona.eu/research-areas/main-research-projects/peer-effects-and-endogenous-network-formation
 Total cost 158˙121 €
 EC max contribution 158˙121 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-06-01   to  2017-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FUNDACIÓ MARKETS, ORGANIZATIONS AND VOTES IN ECONOMICS ES (CERDANYOLA DEL VALLÈS) coordinator 158˙121.00

Map

 Project objective

The aim of this project is to develop a theoretical and empirical framework to simultaneously study network formation and peer effects in education. The problem is important from a methodological perspective, as there do not exist general purpose estimatable models of social dynamics in Economics which treat the network formation process as endogenous and simultaneously contemplate network effects on behaviour and its feedback on the network formation process. The possibility of understanding the formation of social networks in terms of the characteristics of the agents forming links is severely limited in most applications by the presence of peer effects that alter these characteristics. Conversely one of the main difficulties in measuring peer effects in any context is that peer groups are endogenous. This project will have two main components (1) a theoretical component and (2) an empirical/experimental component. The theoretical component aims to construct and study in detail the properties of some models of peer effects treating network formation endogenously. In the empirical/experimental component I will estimate and test the models by (a) Relying on two datasets, one of which already exists and one of which is under construction, and which I am currently using on two related projects and (b) Building a detailed longitudinal dataset including information on social network structure and various kinds of behaviours and attitudes using surveys and economic experiments .

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