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Urban spatial structure, employment and social ties
Picard, Pierre M.; Zenou, Yves - 2014
We develop a model where workers both choose their residential location (geographical space) and social interactions (social space). In equilibrium, we show under which condition the majority group resides close to the job center while the minority group lives far away from it. Even though the...
Persistent link: https://www.econbiz.de/10011476353
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Urban spatial structure, employment and social ties : European versus American cities
Picard, Pierre M.; Zenou, Yves - 2015
We develop a model where workers both choose their residential location (geographical space) and their social interactions (social space). In equilibrium, we show under which condition some individuals reside close to the job center while others live far away from it. Even though the two...
Persistent link: https://www.econbiz.de/10011294096
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Key players in co-offending networks
Lindquist, Matthew J.; Zenou, Yves - 2014
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 …
Persistent link: https://www.econbiz.de/10010252606
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Crime and networks: 10 policy lessons
Lindquist, Matthew J.; Zenou, Yves - 2019
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 …
Persistent link: https://www.econbiz.de/10012062622
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Delinquent networks
Ballester, Coralio; Calvó-Armengol, Antoni; Zenou, Yves - 2009
; delinquency decision ; key group ; NP-hard problem ; crime policies …
Persistent link: https://www.econbiz.de/10003831247
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Delinquent Networks
Ballester, Coralio - 2009
Delinquents are embedded in a network of relationships. Social ties among delinquents are modeled by means of a graph where delinquents compete for a booty and benefit from local interactions with their neighbors. Each delinquent decides in a non-cooperative way how much delinquency effort he...
Persistent link: https://www.econbiz.de/10012763925
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Key Players in Co-Offending Networks
Lindquist, Matthew J. - 2014
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 …
Persistent link: https://www.econbiz.de/10013057053
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Social interaction and the spatial concentration of criminality
Bernasco, Wim; Graaff, Thomas de; Rouwendal, Jan; … - 2012 - Draft verion
It has often been observed that there is substantial spatial variation in criminality, i.e. criminality clusters in neighborhoods. Differences in neighborhood characteristics are one possible reason, social interactions another. In this paper we use detailed data on the residential location of...
Persistent link: https://www.econbiz.de/10011512780
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Equilibrium wage arrears : a theoretical and empirical analysis of institutional lock-in
Earle, John S.; Sabirianova Peter, Klara - 2000
We present a model of wage contract violation that implies a possibility of multiple equilibria in the level of arrears. Positive feedback arises because each employer's arrears affect the costs of late payment faced by other employers operating in the same labor market, resulting in a network...
Persistent link: https://www.econbiz.de/10011339102
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How urbanization affects employment and social interactions
Satō, Yasuhiro; Zenou, Yves - 2014
We develop a model where the unemployed workers in the city can find a job either directly or through weak or strong ties. We show that, in denser areas, individuals choose to interact with more people and meet more random encounters (weak ties) than in sparsely populated areas. We also...
Persistent link: https://www.econbiz.de/10010238209