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Table 5 Robustness checks

From: Crime and immigration: new evidence from England and Wales

  Annual Population Survey, 2004/5-2010/11
  Change in log crime rate Change in crime rate, Change in burglary rate,
Crime dynamics Burglary dynamics
  First stage Second stage First stage Second stage First stage Second stage
  (1) (2) (3) (4) (5) (6)
A. England and Wales       
Predicted change in immigrant Share 0.586 (0.162)   0.555 (0.099)   0.558 (0.097)  
High historical immigrant share -0.158 (0.045)   -0.055 (0.0145)   -0.055 (0.014)  
Change in immigrant share   0.008 (0.060)   -0.118 (0.101)   0.011 (0.017)
Change in crime/burglary rate, 2002-2004     0.475 (0.124)   0.292 (0.042)
Controls Yes Yes Yes Yes Yes Yes
Police force area fixed effects Yes Yes Yes Yes Yes Yes
F-test 14.56   18.65   18.54  
Sample size 347 347 347 347 347 347
B. London       
Predicted change in immigrant share 0.761 (0.460)   0.726 (0.162)   0.671 (0.136)  
High historical immigrant share -0.159 (0.050)   -0.055 (0.017)   -0.048 (0.020)  
Change in immigrant share   0.019 (0.183)   -0.080 (0.056)   0.010 (0.017)
Change in crime/burglary rate, 2002-2004     0.182 (0.021)   0.266 (0.074)
Controls Yes Yes Yes Yes Yes Yes
Police force area fixed effects Yes Yes Yes Yes Yes Yes
F-test 10.04   13.70   10.21  
Sample size 33 33 33 33 33 33
  1. Notes: Weighted by population. High Historical Immigrant Share is a dummy variable equal to one if the Immigrant Share in 1991 Census of the local authority is greater than 0.20. Controls are: population growth, the change in the unemployment rate, the change in the share of males aged 15–39 and a dummy variable for the 33 London boroughs. Robust standard errors in parentheses. In columns 3 and 5 there are two instrumented endogenous variables and the Angrist-Pischke multivariate F-Test of excluded instruments is reported. Burglary and Crime rates are burglary and crime counts divided by total population from the APS.