Table 3 Logistic regression on the probability of being unemployed vs. employed (ref.). Gross models (0) controlling separately for educational level and time of education

 Immigrant

0.104

0.137

−0.319

−3.420**

0.067

−4.259*

(0.232)

(0.662)

(0.513)

(1.427)

(0.433)

(2.337)

 Secondary

− 0.625***

−0.324

− 0.746***

(0.107)

(0.289)

(0.141)

 Tertiary

−1.545***

−1.188***

− 1.535***

(0.125)

(0.302)

(0.155)

 Immigrant#Secondary

0.115

0.869

−0.345

(0.274)

(0.567)

(0.527)

 Immigrant#Tertiary

0.844**

1.772***

0.746

(0.364)

(0.633)

(0.496)

 Age

−0.041***

−0.046***

− 0.040***

− 0.040***

− 0.045***

− 0.046***

(0.004)

(0.004)

(0.004)

(0.004)

(0.004)

(0.004)

 Female

0.070

0.039

0.254***

0.231**

−0.206**

−0.270***

(0.079)

(0.080)

(0.098)

(0.100)

(0.086)

(0.093)

Years of education

−0.227***

− 0.192***

− 0.154***

(0.023)

(0.037)

(0.026)

Immigrant#Years of education

−0.028

0.496**

0.465*

(0.091)

(0.201)

(0.269)

Years of education²

0.004***

0.004***

0.003***

(0.001)

(0.001)

(0.001)

Immigrant#Years of education²

0.004

−0.012*

−0.010

(0.003)

(0.007)

(0.007)

 Constant

1.029***

2.487***

−0.170

1.138***

0.539***

1.078***

(0.174)

(0.267)

(0.350)

(0.412)

(0.206)

(0.297)

 Observations

4,073

3,959

4,621

4,489

6,106

5,549