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Table 4 Returns on the natural logarithm of gross hourly wages separated by gender, IV-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

0.178***

(0.051)

0.124***

(0.045)

0.207***

(0.052)

0.141***

(0.047)

Exp

0.020***

(0.004)

0.016***

(0.004)

0.019***

(0.005)

0.022***

(0.004)

Exp2

− 0.0003***

(0.0001)

− 0.0001*

(0.0001)

− 0.0002***

(0.0001)

− 0.0003***

(0.0001)

Union

0.107***

(0.020)

− 0.006

(0.018)

0.127***

(0.023)

0.006

(0.020)

Education level 2

0.084**

(0.036)

0.158***

(0.029)

0.113***

(0.044)

0.197***

(0.033)

Education level 3

0.353***

(0.045)

0.533***

(0.037)

0.385***

(0.051)

0.582***

(0.040)

MB 2nd Gen

− 0.082

(0.064)

0.045

(0.061)

  

MB 1st Gen (other EU Member State)

− 0.091**

(0.043)

− 0.170***

(0.033)

  

MB 1st Gen (non-EU Country)

− 0.287***

(0.027)

− 0.207***

(0.028)

  

MB Dummy

  

− 0.124

(0.126)

0.240**

(0.095)

MB Dummy: Exp

  

0.007

(0.011)

− 0.019**

(0.009)

MB Dummy: Exp2

  

− 0.0001

(0.0002)

0.0003

(0.0002)

MB Dummy: Union

  

− 0.156***

(0.059)

− 0.117**

(0.047)

MB Dummy: Education level 2

  

− 0.040

(0.063)

− 0.133***

(0.049)

MB Dummy: Education level 3

  

− 0.074

(0.081)

− 0.179***

(0.064)

(Intercept)

2.214***

(0.053)

2.070***

(0.043)

2.177***

(0.064)

1.952***

(0.050)

Observations

2081

1949

2081

1949

R2

0.129

0.227

0.076

0.205

Adjusted R2

0.125

0.223

0.071

0.200

Residual std. error

9.668 (df = 2071)

8.129 (df = 1939)

9.964 (df = 2068)

8.247 (df = 1936)

Weak instruments

6.9e−09 ***

5.44e−11 ***

2.71e−09 ***

8.54e−11 ***

Wu–Hausman

0.00705***

0.00725***

0.000972***

0.00224***

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