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

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

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)

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