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Table 4 Impact of intermarriage on specialization - for immigrant women

From: Relative labor supply in intermarriage

Dep. Var.:

RE Tobit1(1)

Tobit1(2)

Logit1, 2(3)

LPM3(4)

IV4(4)

Specialization index

Intermarriage

0.084*

0.059

0.088*

0.094*

0.662*

Education

0.005

0.008*

0.020***

0.037***

0.034***

More educ5 × difference in educ

0.007

0.004

-0.007

-0.018*

-0.016

Age

-0.007***

-0.005**

-0.000

0.006**

-0.001

Older × difference in age

0.005

0.008

0.003

-0.003

0.002

Duration of marriage

0.004**

0.005**

0.002

-0.001

0.008

Duration of intermarriage

-0.007**

-0.008**

-0.009**

-0.010***

-0.034**

Children younger than 16

-0.150***

-0.151***

-0.103***

-0.063**

-0.042

Being Muslim/Islamic

-0.079***

-0.150***

-0.141***

-0.109***

-0.076**

Good German language skills

-0.066***

-0.079***

-0.065**

0.048***

0.043***

Good skills in language of home country

-0.008

-0.026**

-0.010

0.012

0.007

Estimation coefficient of the IV on intermarriage variable in first stage:

-0.997***

  1. Source: German Socio-Economic Panel (SOEP), unbalanced panel, years 1997, 1999, 2001, 2003, 2005.
  2. Female immigrants aged 20 to 65; Comparison of those in intermarriage with those in immigrant marriages.
  3. Clustered standard errors; * p ≤ 0:05, ** p ≤ 0:01, *** p ≤ 0:001.
  4. 1Entries refer to marginal effects on the probability that both spouses work.
  5. 2Modified Dep. Var.: = 1 if both spouses work, = 0 if only one partner works.
  6. 3Entries refer to estimation coefficients using the same modified dep. Var. as in the logit regression
  7. 4 IV = number of opposite sex in the same ethnic group and the federal state total number of opposite sex in the federal state .
  8. 5Implying that this person has more years of schooling than his/her partner.