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Table 9 The effect of E-Verify laws on likely unauthorized immigrants’ mobility

From: Do state work eligibility verification laws reduce unauthorized immigration?

  All Not recent Recent and new
A. Remain in state    
E-Verify last year −0.100* (0.059) −0.070 (0.044) −0.394*** (0.079)
E-Verify this year −0.062*** (0.022) −0.029 (0.027) −0.259*** (0.071)
B. In-migration from other states    
E-Verify last year −0.068 (0.191) −0.080 (0.195) −0.107 (0.223)
E-Verify this year 0.032 (0.150) 0.095 (0.187) −0.157 (0.249)
C. In-migration from abroad    
E-Verify last year −0.229 (0.162) −0.229 (0.162)
E-Verify this year −0.464* (0.259) −0.464* (0.259)
D. Out-migration to other states    
E-Verify last year −0.251 (0.198) −0.430* (0.214) 0.175 (0.305)
E-Verify this year −0.131 (0.266) −0.189 (0.319) −0.055 (0.302)
N 510 510 510
  1. *p < 0.1; ***p < 0.01
  2. Note: Shown are estimated coefficients on variables measuring the fraction of the year that a universal E-Verify law was in effect in a state and a measure of E-Verify in bordering states or in all other states. The dependent variable is logged. Each set of two coefficients is from a separate OLS regression. The regressions include the log of state real GDP per capita, the unemployment rate, housing permits, housing starts, and the log of real state government expenditures per capita (all lagged 1 year); state and year fixed effects; and state-specific linear time trends. Observations are weighted using the sum of the person weights in the population group. Standard errors are robust and clustered on state