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Table 3 Returns on the natural logarithm of gross hourly wages separated by gender, OLS-regressions.

From: Intergenerational transmission of economic success in Austria with a focus on migration and gender

Dependent variable: LogWage

 

Male sample

Female sample

Male sample

Female sample

ES

0.041***

(0.008)

0.014*

(0.007)

0.056***

(0.009)

0.017**

(0.008)

Exp

0.019***

(0.003)

0.014***

(0.003)

0.017***

(0.004)

0.017***

(0.004)

Exp2

− 0.0003***

(0.0001)

− 0.0001*

(0.0001)

− 0.0003***

(0.0001)

− 0.0002**

(0.0001)

Union

0.104***

(0.017)

− 0.023

(0.016)

0.123***

(0.019)

− 0.012

(0.017)

Education level 2

0.131***

(0.026)

0.211***

(0.021)

0.162***

(0.033)

0.252***

(0.025)

Education level 3

0.462***

(0.030)

0.613***

(0.025)

0.489***

(0.036)

0.657***

(0.029)

MB 2nd Gen

− 0.054

(0.055)

0.069

(0.055)

  

MB 1st Gen (other EU Member State)

− 0.096***

(0.036)

− 0.140***

(0.028)

  

MB 1st Gen (non-EU Country)

− 0.282***

(0.023)

− 0.182***

(0.024)

  

MB Dummy

  

− 0.147

(0.105)

0.148*

(0.084)

MB Dummy: ES

  

− 0.051**

(0.016)

− 0.011

(0.017)

MB Dummy: Exp

  

0.007

(0.009)

− 0.009

(0.007)

MB Dummy: Exp2

  

− 0.0002

(0.0002)

0.0001

(0.0002)

MB Dummy: Union

  

− 0.166***

(0.047)

− 0.107**

(0.042)

MB Dummy: Education level 2

  

− 0.005

(0.053)

− 0.126***

(0.045)

MB Dummy: Education level 3

  

0.038

(0.067)

− 0.130**

(0.058)

(Intercept)

2.210***

(0.045)

2.060***

(0.038)

2.183***

(0.053)

1.975***

(0.045)

Observations

2081

1949

2081

1949

Residual std. error

7.817 (df = 2071)

6.849 (df = 1939)

7.763 (df = 2067)

6.864 (df = 1935)

  1. Italic denotes main variable of interest
  2. *p < 0.1; **p < 0.05; ***p < 0.01; Robust standard errors are in parentheses