Relative labor supply in intermarriage

Table 3 Impact of intermarriage on specialization - for immigrant men

Dep. Var.:	RE Tobit¹(1)	Tobit¹(2)	Logit^{1, 2}(3)	LPM³(4)	IV⁴(5)
Specialization index	RE Tobit¹(1)	Tobit¹(2)	Logit^{1, 2}(3)	LPM³(4)	IV⁴(5)
Intermarriage	0.129***	0.130***	0.144***	0.144***	1.745***
Education	0.006	0.011**	0.027***	0.044***	0.026**
More educ⁵ × difference in educ	-0.023***	-0.026***	-0.039***	-0.050***	-0.031**
Age	-0.009***	-0.009***	-0.004*	0.002	-0.009
Older × difference in age	0.007*	0.008**	0.006	0.002	0.022**
Duration of marriage	0.005**	0.006**	0.004	-0.000	0.024**
Duration of intermarriage	-0.005*	-0.006**	-0.007*	-0.007**	-0.081***
Children younger than 16	-0.128***	-0.146***	-0.090***	-0.049**	0.018
Being Muslim/Islamic	-0.123***	-0.213***	-0.202***	-0.172***	-0.166***
Good German language skills	-0.030***	-0.026**	-0.029**	-0.013	0.045
Good skills in language of home country	-0.012	-0.028**	-0.014	0.007	-0.027
Estimation coefficient of the IV on intermarriage variable in first stage:					-0.742***

Source: German Socio-Economic Panel (SOEP), unbalanced panel, years 1997, 1999, 2001, 2003, 2005.
Male immigrants aged 20 to 65; Comparison of those in intermarriage with those in immigrant marriages.
Clustered standard errors; * p ≤ 0:05, ** p ≤ 0:01, *** p ≤ 0:001.
¹Entries refer to marginal effects on the probability that both spouses work.
²Modified Dep. Var.: = 1 if both spouses work, = 0 if only one partner works.
³Entries refer to estimation coefficients using the same modified dep. Var. as in the logit regression.
⁴ $IV = \frac{number of opposite sex in the same ethnic group and the federal state}{total number of opposite sex in the federal state}$ .
⁵Implying that this person has more years of schooling than his/her partner.