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Table 1 Estimates of the employment equation

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

β D (1) (2)
Intercept −1** −1, 34**
  (−1.99, −0.04) (−2.31, −0.31)
Age 0, 03** 0, 04**
  (0.01, 0.05) (0.02, 0.06)
Gender −0, 56** −0, 59**
  (−0.70, −0.421) (−0.72, −0.44)
Immigrant −0, 4**  
  (−0.67, −0.13)  
Second generation −0.16  
  (−0.34, 0.036)  
Turkish immigrant   −0, 65**
   (−1.06, −0.23)
Central European immigrant   −0.06
   (−0.60, 0.50)
EU15 immigrant   0.5
   (−0.18, 1.23)
Turkish second generation   −0, 45**
   (−0.87, −0.02)
Central European second generation   0.32
   (−0.28, 0.95)
EU15 second generation   0.16
   (−0.30, 0.64)
German second generation   −0.13
   (−0.38, 0.12)
Immigrant foreign language at home   −0.53
   (−1.19, 0.12)
Second generation foreign language at home   −0.25
   (−0.89, 0.41)
Low education −0, 4** −0, 37**
  (−0.58, −0.21) (−0.56, −0.17)
High education 0, 31** 0, 28**
  (0.14, 0.47) (0.11, 0.45)
Marital status 0.08 0.1
  (−0.07, 0.24) (−0.06, 0.25)
Children under 16 0, 23** 0, 26**
  (0.08, 0.37) (0.10, 0.41)
  1. Notes: (1) 95 % Bayesian confidence intervals in brackets. These intervals contain 95 % of the posterior probability. If this interval contains 0, the effect measured by the parameter estimate is insignificant. (2) Marginal effects at any {theta,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
  2. **Significance at the 95 % confidence level