Some examples of networks in economics

EHESS - Salle 8  -  105, boulevard Raspail  -  75006 Paris


(Talks: 30mn + 15mn discussion)

  • 2:30 pm : Sanjeev Goyal (Professor of Economics, University of Cambridge, Visiting Professor at University Paris 2 Panthéon-Assas)
    Competing chance
    Supply, servive and trading chains are a defining feature of the modern economy. We develop a model of pricing in chains. Our analysis provides a mapping of the network structure of chains to market power and helps us understand pricing, profits and the patterns of trade.

  • 3:15pm : Jihan Ghrairi (CRED, Université Paris 2 Panthéon Sorbonne) & Annick Vignes (ENPC & CAMS)
    "Youth, how did you find your job?"
    This article aims to study youth employability. We focus on the way young people found their job, analyzing the determinants of job access channels. We use the youth sample of the French Labor Force Survey ("Enquête Emploi", INSEE): analyzing two samples, one before the crisis (2007) and the second one during the crisis (2010), we find that the successful ways of getting a job changed. We observe a reinforcement of the social networks role: when young graduates often access to their current jobs through direct applications and professional networks, less qualified job seekers get their job thanks to their personal network. Using a multinomial logit model and controlling for selection, we find that when people get older, the effect of personal social networks decrease when the effect of professional network gets reinforced. This result goes a little bit further the ones of Granovetter or Van der Leij and Goyal concerning the links between social networks and job market.

  • 4:00 pm : Break

  • 4:30 pm : Sandro Sapio (Professor of Economics, Università degli Studi di Napoli 'Parthenope')
    Do collaborations enhance the high-quality output of scientific institutions? Evidence from the Italian Research Assessment Exercise
    In this paper, we analyze the effects of research collaborations on the scientific output of academic institutions, drawing on data from the first official Italian research assessment exercise. We measure the scientific performance of a research unit as the number of publications that received an excellent grade in the evaluation process. Different aspects of scientific collaboration are taken into account, such as the degree of openness of a research team towards other institutions and/or countries, the frequency of co-authorships, and the average size of co-authoring teams. Using econometric models for count data, we find that greater and more frequent knowledge exchange resulting from collaboration with external or foreign colleagues increase researchers’ productivity.

  • 5:15pm : End of the mini symposium

Program also posted on

  • le jeudi 17 juillet 2014  de 14h30  à 17h15

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