We study peer effects in crime by analyzing co-offending networks. We first provide a credible estimate of peer effects … criminal from each network that reduces total crime by the largest amount. Using longitudinal data, we are able to compare the … disappeared over time, we show that the theoretical predicted crime reduction is close to what is observed in the real world. We …

We study peer effects in crime by analyzing co-offending networks. We first provide a credible estimate of peer effects … criminal from each network that reduces total crime by the largest amount. Using longitudinal data, we are able to compare the … disappeared over time, we show that the theoretical predicted crime reduction is close to what is observed in the real world. We …

We study peer effects in crime by analyzing co-offending networks. We first provide a credible estimate of peer effects … criminal from each network that reduces total crime by the largest amount. Using longitudinal data, we are able to compare the … disappeared over time, we show that the theoretical predicted crime reduction is close to what is observed in the real world. We …

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 …

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 …

showing who the key player is, i.e. the criminal who once removed generates the highest possible reduction in aggregate crime …

showing who the key player is, i.e. the criminal who once removed generates the highest possible reduction in aggregate crime …

player is, i.e. the criminal who once removed generates the highest possible reduction in aggregate crime level. We also show …

player is, i.e. the criminal who once removed generates the highest possible reduction in aggregate crime level. We also show …

once removed generates the highest reduction in total crime in the network. We generalize the intercentrality measure …