This paper investigates the relation between social capital and crime. The analysis contributes to explaining why crime is so heterogeneous across space. By employing current and historical data for Dutch municipalities and by providing novel indicators to measure social capital, we find a link...

Using declassified Federal Bureau of Narcotics records on 800 US Mafia members active in the 1950s and 1960s, and on their connections within the organized crime network, I estimate network effects on gangsters' economic status. Lacking information on criminal proceeds, I measure economic status...

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...

This paper studies the effect of social closure on crime and tax evasion rates using disaggregated data for Italian municipalities. It measures the degree of social openness of a community by the diversity of its surname distribution, which reflects the history of migration and inbreeding. It...

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...

Scientific fraud is a pervasive phenomenon with deleterious consequences, as it leads to false scientific knowledge being published, therefore affecting major individual and public decisions. In this paper we build a game-theoretic model of the research and publication process that analyzes why...

We analyze delinquent networks of adolescents in the United States. We develop a dynamic network formation model showing who the key player is, i.e. the criminal who once removed generates the highest possible reduction in aggregate crime level. We then structurally estimate our model using data...

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...

This paper studies the effect of social closure on crime and tax evasion rates using disaggregated data for Italian municipalities. It measures the degree of social openness of a community by the diversity of its surname distribution, which reflects the history of migration and inbreeding. It...

We investigate the effects of civic norms and associational networks on crime rates. Civic norms may attach guilt and shame to criminal behaviour, thus increasing its opportunity cost. Associational networks may increase returns to non-criminal activities and raise detection probabilities, but...