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Table 5 Estimates of the employment equation, reduced-form estimation with probit

From: Employment chances of immigrants and their children in Germany: does sense of personal control matter?

β D (1) (2)
Intercept −1.26* −1.33**
  (0.51) (0.51)
Age 0.04*** 0.04***
  (0.01) (0.01)
Gender −0.57*** −0.58***
  (0.07) (0.07)
Immigrant −0.41**  
  (0.14)  
Second generation −0.12  
  (0.10)  
Turkish immigrant   −0.65**
   (0.21)
Central European immigrant   −0.07
   (0.27)
EU15 immigrant   0.46
   (0.36)
Turkish second generation   −0.45*
   (0.22)
Central European second generation   0.30
   (0.31)
EU15 second generation   0.15
   (0.24)
German second generation   −0.13
   (0.13)
Immigrant foreign language at home   −0.52
   (0.33)
Second generation foreign language at home   −0.25
   (0.34)
Low education −0.41*** −0.36***
  (0.10) (0.10)
High education 0.29*** 0.28**
  (0.09) (0.09)
Marital status 0.08 0.09
  (0.08) (0.08)
Children under 16 0.26*** 0.26***
  (0.08) (0.08)
  1. Notes: (1) standard errors in brackets with codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (2) marginal effects at any θ, X value can be derived from the information given (i.e. the estimates of alpha and beta). It is in the nature of probit/logit/etc. that the marginal effects are high when the probability is around 0.5 and low when it is close to zero or one