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Table 2 Educational wage differentials by study majors, four selected years (in ln)

From: The evolution of educational wage differentials for women and men in Germany, from 1996 to 2019

(a) Women

2012

2014

2016

2019

 

UAS

U

UAS

U

UAS

U

UAS

U

Arts

–

0.42***

–

0.35***

–

0.31***

–

0.36***

Law

–

0.59***

–

0.56***

–

0.58***

–

0.57***

Economics

0.43***

0.60***

0.41***

0.59***

0.42***

0.61***

0.38***

0.53***

Social Sc

0.27***

0.46***

0.34***

0.34***

0.25***

0.32***

0.21***

0.36***

Medicine

–

0.83***

–

0.82***

–

0.78***

–

0.96***

Natural Sc

–

0.62***

–

0.59***

–

0.47***

–

0.52***

Engineering

0.39***

0.48***

0.34***

0.46***

0.32***

0.44***

0.31***

0.53***

# obs./R2

2,900

0.22

2,409

0.23

2,045

0.22

1,990

0.23

(b) Men

2012

2014

2016

2019

 

UAS

U

UAS

U

UAS

U

UAS

U

Arts

–

0.24***

–

0.33***

–

0.19*a

–

0.26***

Law

–

0.64***

–

0.68***

–

0.66***

–

0.74***

Economics

0.42***

0.49***

0.35***

0.41***

0.39***

0.42***

0.41***

0.52***

Social Sc

0.21***

0.37***

0.07nsa

0.34***

0.28***a

0.34***

0.10

0.35***

Medicine

–

0.71***

–

0.71***

–

0.78***

–

0.71***a

Natural Sc

–

0.56***

–

0.57***

–

0.55***

–

0.48***

Engineering

0.48***

0.54***

0.48***

0.55***

0.46***

0.50***

0.51***

0.58***

# obs./R2

2,877

0.32

2,383

0.32

1,960

0.30

1,883

0.33

  1. Employed individuals aged 30 to 55. The notation reads as follows: UAS university of applied sciences, U university, Sc sciences. OLS estimates with ln real wages (educational reference category: VET). Statistical significance level of the estimates: * for p < .05, ** for p < 0.01, and *** for p < .001. Findings for other subjects, such as agricultural studies and fine arts are not included in the table. aThe estimated coefficient for the subject in the year was implausible. We therefore report the coefficient from the previous/following year’s estimates
  2. Source: SOEP v36; authors’ own calculations