nep-net New Economics Papers
on Network Economics
Issue of 2017‒03‒12
three papers chosen by
Pedro CL Souza
Pontifícia Universidade Católica do Rio de Janeiro

  1. Gender and Peer Effects in Social Networks By Beugnot, Julie; Fortin, Bernard; Lacroix, Guy; Villeval, Marie Claire
  2. Peer Effects and Risk-Taking Among Entrepreneurs: Lab-in-the-Field Evidence By Steeve Marchand; Maria Adelaida Lopera
  3. Network Structure and Naive Sequential Learning By Krishna Dasaratha; Kevin He

  1. By: Beugnot, Julie (Université de Franche Comté); Fortin, Bernard (Université Laval); Lacroix, Guy (Université Laval); Villeval, Marie Claire (CNRS, GATE)
    Abstract: We investigate whether peer effects at work differ by gender and whether the gender difference in peer effects – if any – depends on work organization, precisely the structure of social networks. We develop a social network model with gender heterogeneity that we test by means of a real-effort laboratory experiment. We compare sequential networks in which information on peers flows exclusively downward (from peers to the worker) and simultaneous networks where it disseminates bi-directionally along an undirected line (from peers to the worker and from the worker to peers). We identify strong gender differences in peer effects, as males' effort increases with peers' performance in both types of network, whereas females behave conditionally. While they are influenced by peers in sequential networks, females disregard their peers' performance when information flows in both directions. We reject that the difference between networks is driven by having one's performance observed by others or by the presence of peers in the same session in simultaneous networks. We interpret the gender difference in terms of perception of a higher competitiveness of the environment in simultaneous than in sequential networks because of the bi-directional flow of information.
    Keywords: gender, peer effects, social networks, work effort, experiment
    JEL: C91 J16 J24 J31 M52
    Date: 2017–02
    URL: http://d.repec.org/n?u=RePEc:iza:izadps:dp10588&r=net
  2. By: Steeve Marchand; Maria Adelaida Lopera
    Abstract: We study how social interactions influence entrepreneurs' attitudes toward risk. We conduct two risk-taking experiments within workshops organized for young Ugandan entrepreneurs. Between the two experiments, the entrepreneurs participate in a networking activity where they build relationships and discuss with each other. We collect detailed data on peer network formation and on participants' choices before and after the networking activity. Our design implicitly controls for homophily effects (i.e. the tendency of individuals to develop relationships with people who have similar characteristics). We find that risk aversion is affected by social conformity. Participants tend to become more (less) risk averse in the second experiment if the peers they discuss with are on average more (less) risk averse in the first experiment. This suggests that social interactions play a role in shaping risk preferences.
    Keywords: preference, risk aversion, entrepreneur, social norms
    JEL: D03 D81 M13 Z13
    Date: 2017
    URL: http://d.repec.org/n?u=RePEc:lvl:crrecr:1703&r=net
  3. By: Krishna Dasaratha; Kevin He
    Abstract: We study a model of sequential learning with naive agents on a network. The key behavioral assumption is that agents wrongly believe their predecessors act based on only private information, so that correlation between observed actions is ignored. We provide a simple linear formula characterizing agents' actions in terms of paths in the network and use this formula to determine when society learns correctly in the long-run. Because early agents are disproportionately influential, standard network structures can lead to herding on incorrect beliefs. The probability of mislearning increases when link densities are higher and when networks are more integrated. When actions can only communicate limited information, segregated networks often lead to persistent disagreement between groups.
    Date: 2017–02
    URL: http://d.repec.org/n?u=RePEc:arx:papers:1703.02105&r=net

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