FINET

Firm Networks Trade and Growth

 Coordinatore FONDATION JEAN-JACQUES LAFFONT,TOULOUSE SCIENCES ECONOMIQUES 

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 Nazionalità Coordinatore France [FR]
 Totale costo 1˙169˙400 €
 EC contributo 1˙169˙400 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2013-StG
 Funding Scheme ERC-SG
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-12-01   -   2018-11-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    FONDATION JEAN-JACQUES LAFFONT,TOULOUSE SCIENCES ECONOMIQUES

 Organization address address: ALLEE DE BRIENNE, Manufacture des Tabacs 21
city: TOULOUSE
postcode: 31000

contact info
Titolo: Mr.
Nome: Thomas
Cognome: Chaney
Email: send email
Telefono: +33 5 61 12 85 44
Fax: +33 5 61 12 86 50

FR (TOULOUSE) hostInstitution 1˙169˙400.00
2    FONDATION JEAN-JACQUES LAFFONT,TOULOUSE SCIENCES ECONOMIQUES

 Organization address address: ALLEE DE BRIENNE, Manufacture des Tabacs 21
city: TOULOUSE
postcode: 31000

contact info
Titolo: Ms.
Nome: Céline
Cognome: Claustre
Email: send email
Telefono: +33 5 67 73 27 64
Fax: +33 5 61 12 86 50

FR (TOULOUSE) hostInstitution 1˙169˙400.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

io    time    macroeconomics    trade    frictions    theoretical    network    model    exporter    offer    whom    limited    interactions    dynamic    international    customers    analyze    agents    linkages    plants    few    empirical    interact    economic    tools    shapes    shape    aggregate   

 Obiettivo del progetto (Objective)

'The general theme of this research is to introduce the notion of large-scale economic networks into the mainstream of economics, in particular in macroeconomics and international trade. Economic agents often do not have access to all the relevant information they may need: whom they know, whom they interact with represents a small fraction of all possible interactions. I model this limited set of interactions as a network: agents are nodes, and they only interact with other agents they have formed a link with. What is the shape of this network of linkages between agents, and how does it evolve? More importantly, what are the aggregate implications of the shape of this network? These are the broad questions I will address in this research. I will consider six specific applications of this unifying idea in various fields: international trade, IO, macroeconomics and growth. In international trade, we have only a very crude understanding of the frictions that prevent most firms from exporting. I propose to model trade frictions as a dynamic network: at a point in time, a given exporter only has information about a limited set of potential customers in a few foreign countries; over time, this exporter discovers new export opportunities, and its network of customers evolves dynamically. I offer theoretical and empirical tools to understand and analyze the properties of this network, and show how it shapes aggregate trade patterns. In IO and macroeconomics, most plants only have few suppliers. I will model the input-output linkages between plants as a dynamic network; I offer theoretical and empirical tools to analyze this network, and show how it shapes the propagation of plant level shocks to generate aggregate fluctuations. Human capital accumulation is key to economic growth and development, with workers learning from each other. I will model these growth-enhancing interactions as a dynamic network; I will show how the properties of this network shape long run growth.'

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