We study both endogenous and exogenous peer effects in worker productivity using an explicit network approach. We apply this method to data from an in-house call center of a multinational mobile network operator that include detailed information on individual performance. We find that a 10%...

We study peer effects in crime by analyzing co-offending networks. We first provide a credible estimate of peer effects in these networks equal to 0.17. This estimate implies a social multiplier of 1.2 for those individuals linked to only one co-offender and a social multiplier of 2 for those...

We study spillover effects within co-offending networks by leveraging deaths of co-offenders for causal identification. Our results demonstrate that the death of a co-offender significantly reduces the criminal activities of other network members. We observe a decaying pattern in the magnitude...

Social network analysis can help us understand more about the root causes of delinquent behavior and crime and provide practical guidance for the design of crime prevention policies. To illustrate these points, we first present a selective review of several key studies and findings from the...

In this article, we argue that social network analysis can be used in a meaningful way to help us understand more about the root causes of delinquent behavior and crime and also to provide practical guidance for the design of crime prevention policies

Social network analysis can help us understand more about the root causes of delinquent behavior and crime and provide practical guidance for the design of crime prevention policies. To illustrate these points, we first present a selective review of several key studies and findings from the...

We study both endogenous and exogenous peer effects in worker productivity using an explicit network approach. We find that a 10% increase in average co-worker current productivity increases worker productivity by 5.3%. A 10% increase in average co-worker permanent productivity decreases worker...