Showing 1 - 10 of 33
This study aims at identifying the factors of aggregate and disaggregate crime categories in Japan over the period 1964–2009. All crime categories are related to police outlays, police numbers, unemployment, divorce and urbanization rates. Bounds testing approach to cointegration is...
Persistent link: https://www.econbiz.de/10010597510
Culture, cults and character are shown to be the “Three C’s” of graft and corruption. The notion of “conversation” is briefly allowed to link the perpetrator to his alter ego, victim or partner-in-crime, wherein are forged the origins of means, motive and opportunity—as also the...
Persistent link: https://www.econbiz.de/10008646830
Using unique data on criminal profiles of 800 US Mafia members active in the 50s and 60s and on their connections within the Cosa Nostra network we analyze how the geometry of criminal ties between mobsters depends on family ties, community roots and ties, legal and illegal activities. We...
Persistent link: https://www.econbiz.de/10008674209
Using declassified Federal Bureau of Narcotics records on 800 US Mafia mem- bers 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...
Persistent link: https://www.econbiz.de/10010743398
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...
Persistent link: https://www.econbiz.de/10010712152
This research shows that social capital is important in explaining why crime is so heterogeneous across space. Social capital is considered as a latent construct composed of a variety of indicators, such as blood donations, voter turnout, voluntary contributions to community well-being, and...
Persistent link: https://www.econbiz.de/10011052375
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...
Persistent link: https://www.econbiz.de/10011084570
We consider a model where the criminal decision of each individual is affected by not only her own characteristics, but also by the characteristics of her friends (contextual effects). We determine who the key player is, i.e. the criminal who once removed generates the highest reduction in total...
Persistent link: https://www.econbiz.de/10011084582
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...
Persistent link: https://www.econbiz.de/10010552190
We analyze delinquent networks of adolescents in the United States. We develop a theoretical model showing who the key player is, i.e. the criminal who once removed generates the highest possible reduction in aggregate crime level. We also show that key players are not necessary the most active...
Persistent link: https://www.econbiz.de/10008833972