当前位置: X-MOL 学术Journal of Crime and Justice › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Using estimates of undocumented immigrants to study the immigration-crime relationship
Journal of Crime and Justice ( IF 1.4 ) Pub Date : 2020-10-03 , DOI: 10.1080/0735648x.2020.1819375
Robert M. Adelman 1 , Yulin Yang 2 , Lesley Williams Reid 3 , James D. Bachmeier 4 , Mike Maciag 5
Affiliation  

ABSTRACT

The debate about undocumented immigration and its potential relation to crime continues to boil in the United States. We study this relationship by using two sets of estimates for the 2014 undocumented foreign-born population in U.S. metropolitan areas acquired from the Pew Research Center and the Migration Population Institute, 2013-2015 FBI Uniform Crime Report data, and 2011-2015 American Community Survey data from the U.S. Census Bureau, to model the association between undocumented immigration and violent and property crime. Findings are consistent across all estimates of metropolitan undocumented populations. Net of relevant covariates, we find negative effects of undocumented immigration on the overall property crime rate, larceny, and burglary; effects in models using violent crime measures as the outcomes are statistically non-significant. Although the results are based on cross-sectional data, they mirror other research findings that immigration either reduces or has no impact on crime, on average, and contribute to a growing literature on the relationship between immigration and crime.



中文翻译:

使用对无证移民的估计来研究移民与犯罪的关系

摘要

关于无证移民及其与犯罪的潜在关系的辩论在美国继续沸腾。我们通过使用从皮尤研究中心和移民人口研究所、2013-2015 年联邦调查局统一犯罪报告数据和 2011-2015 年美国社区调查获得的美国大都市区 2014 年无证外国出生人口的两组估计值来研究这种关系来自美国人口普查局的数据,以模拟无证移民与暴力和财产犯罪之间的关联。对大都市无证人口的所有估计结果一致。除去相关协变量,我们发现无证移民对整体财产犯罪率、盗窃和入室盗窃的负面影响;使用暴力犯罪措施作为结果的模型的影响在​​统计上不显着。

更新日期:2020-10-03
down
wechat
bug