The Doughboys Network: Social Interactions and the Employment of World War I Veterans

Laschever, Ron A.

doi:10.2139/ssrn.1205543

Cited by 72 publications

(67 citation statements)

References 1 publication

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“…The estmation results for all the model specifications are available upon request. 23 Because we deal with a non linear transformation, the standard error is calculated using the deltha method. The associated t-test value is equal to 2.11, which denotes statstical significance at the 5% level.…”

Section: An Alternative Measure Of Network Centrality: Betweennessmentioning

confidence: 99%

Peer Effects and Social Networks in Education

Calvó‐Armengol

Patacchini

Zénou

2009

Review of Economic Studies

719

441

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This paper studies whether structural properties of friendship networks affect individual outcomes in education. We first develop a model that shows that, at the Nash equilibrium, the outcome of each individual embedded in a network is proportional to her Katz-Bonacich centrality measure. This measure takes into account both direct and indirect friends of each individual but puts less weight to her distant friends. We then bring the model to the data by using a very detailed dataset of adolescent friendship networks. We first characterize the exact conditions on the geometry of the peer network, so that the model is fully identified. We then show that, after controlling for observable individual characteristics and unobservable network specific factors, the individual's position in a network (as measured by her Katz-Bonacich centrality) is a key determinant of her level of activity. A standard deviation increase in the Katz-Bonacich centrality increases the pupil school performance by more than 7 percent of one standard deviation.

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Section: An Alternative Measure Of Network Centrality: Betweennessmentioning

confidence: 99%

Peer Effects and Social Networks in Education

Calvó‐Armengol

Patacchini

Zénou

2009

Review of Economic Studies

719

441

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“…This may only be true under the assumption of no endogenous effects. a theoretical foundation behind a few recent attempts at identifying and estimating social effects (Laschever 2005, andLin 2005). Laschever (2005) applies a model of social interactions with multiple reference groups to the likelihood of post-war employment of World War I veterans.…”

Section: Introductionmentioning

confidence: 99%

Identification of peer effects through social networks

Bramoullé

Djebbari

Fortin

2009

Journal of Econometrics

1,061

881

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We provide new results regarding the identification of peer effects. We consider an extended version of the linear-in-means model where each individual has his own specific reference group. Interactions are thus structured through a social network. We assume that correlated unobservables are either absent, or treated as fixed effects at the component level. In both cases, we provide easy-to-check necessary and sufficient conditions for identification. We show that endogenous and exogenous effects are generally identified under network interaction, although identification may fail for some particular structures. Monte Carlo simulations provide an analysis of the effects of some crucial characteristics of a network (i.e., density, intransitivity) on the estimates of social effects. Our approach generalizes a number of previous results due

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“…‡ University of California-Berkeley. Email: jmagruder@berkeley.edu 1 See for example Bayer et al (2005); Beaman (2009); Kramarz and Skans (2007); Granovetter (1973); Laschever (2005); Magruder (2010); Munshi (2003); Munshi and Rosenzweig (2008); Topa (2001). 1999; Ioannides and Loury, 2004)). There is less evidence on how urban labor markets in developing countries operate, despite the knowledge that poverty is increasingly becoming an urban phenomenon (Ravallion et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Who Gets the Job Referral? Evidence from a Social Networks Experiment

Beaman

Magruder

2012

American Economic Review

274

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We use recruitment into a laboratory experiment in Kolkata, India to analyze how job networks select individuals for employment opportunities. We present evidence that individuals face a tradeoff between choosing the most qualified individual for the job and the individual who is ideal from the perspective of their social network. The experiment allows randomly selected subjects to refer members of their social networks to subsequent rounds of the experiment and varies the incentive schemes offered to these participants. We find that when faced with performance pay, individuals are more likely to refer co-workers and less likely to refer family members. High ability participants who are offered performance pay recruit referrals who perform significantly better on a cognitive ability task and also prove to be more reliable as evidenced by their choices in the trust game and performance on an effort task.

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The Doughboys Network: Social Interactions and the Employment of World War I Veterans

Cited by 72 publications

References 1 publication

Peer Effects and Social Networks in Education

Peer Effects and Social Networks in Education

Identification of peer effects through social networks

Who Gets the Job Referral? Evidence from a Social Networks Experiment

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