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. Author manuscript; available in PMC: 2024 Aug 8.
Published in final edited form as: Criminol Public Policy. 2023 Mar 14;22(3):417–455. doi: 10.1111/1745-9133.12619

Table 3.

Fixed Effects Model Estimated Effects of County Immigration Enforcement Policies on Violent Victimization, 2005–2014

Fixed effects model
Characteristics b (SE)
County policy variables
 Secure Communities activated .118 * (.052)
 287(g) jail enforcement agreement .378 (.243)
 287(g) task force agreement .393 (.251)
 Anti-detainer policy activated .045 (.098)
Control variables
Individual-level variables
 Age −.081 (.057)
 Divorced .037 (.108)
 Separated .788 *** (.106)
 Never married −.126 (.124)
 Education .014 (.023)
 Employed .092 (.072)
 Household income .004 (.005)
 Homeowner −.032 (.120)
 Length of residence .004 (.004)
Neighborhood-level variables
 Population density .469 (.998)
 SES disadvantage −.389 (.253)
 % Black .015 (.028)
 % Latino −.053 (.030)
 % Asian and Pacific Islander .108 (.078)
 % other race/ethnicity −.238 (.216)
 Race entropy −.733 (1.383)
 % foreign born −.020 (.022)
 % ages 18–34 .028 ** (.009)
 % divorced/separated −.018 (.011)
 % moved into units <10 years −.008 (.007)
 % vacant housing .014 * (.007)
County context
 % unemployed .006 (.012)
 Police force size .709 (.445)
 Police expenditures −.003 (.002)
Survey administration variables
 Survey reference time .217 *** (.013)
 Time in sample −.133 *** (.019)
 Year of interview
 2006 .057 (.127)
 2007 −.016 (.141)
 2008 −.059 (.161)
 2009 −.205 (.183)
 2010 −.263 (.209)
 2011 −.267 (.232)
 2012 −.295 (.249)
 2013 −.524 (.269)
 2014 −.553 (.292)

 Number of persons 3,800 a
 Number of person-interviews 15,500 a

Note. SE = standard error.

*

p < 0.05

**

p < 0.01

***

p < 0.001 (2-tailed test).

a

Persons showing no variability in victimization status across time were not contributing information to the fixed effects analysis, so the sample size of the “effective analysis sample” was smaller.