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Table 3 Impact of intermarriage on specialization - for immigrant men

From: Relative labor supply in intermarriage

Dep. Var.: RE Tobit1(1) Tobit1(2) Logit1, 2(3) LPM3(4) IV4(5)
Specialization index
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***
  1. Source: German Socio-Economic Panel (SOEP), unbalanced panel, years 1997, 1999, 2001, 2003, 2005.
  2. Male 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.