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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.