Social Interactions and Crime Revisited: An Investigation Using Individual Offender Data in Dutch Neighborhoods

成果类型:
Article
署名作者:
Bernasco, Wim; de Graaff, Thomas; Rouwendal, Jan; Steenbeek, Wouter
署名单位:
Vrije Universiteit Amsterdam; Vrije Universiteit Amsterdam
刊物名称:
REVIEW OF ECONOMICS AND STATISTICS
ISSN/ISSBN:
0034-6535
DOI:
10.1162/REST_a_00656
发表日期:
2017-10
页码:
622-636
关键词:
discrete-choice identification delinquency models multilevel police GENDER
摘要:
Using data on the age, sex, ethnicity, and criminal involvement of more than 14 million residents of all ages residing in approximately 4,000 Dutch neighborhoods, we test if an individual's criminal involvement is affected by the proportion of criminals living in his or her residential neighborhood. We develop a binomial discrete choice model for criminal involvement and estimate it on individual data. We control for both the endogeneity that may be related to unobserved neighborhood characteristics and for sorting behavior. We find significant social interaction effects, but our findings do not imply multiple equilibria or large multiplier effects.
来源URL: